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Reconstruction of strain elds from tomographic data Victor Palamodov Tel Aviv University Ban/ International Research Station Hybrid methods in Imaging June 18, 2015 Victor Palamodov Tel Aviv University (Ban/ International Research Station Hybrid methods in Imaging June 18, 2015Reconstruction of strain elds from tomographic data 1 / 31
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Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Mar 10, 2020

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Page 1: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Reconstruction of strain �elds from tomographic data

Victor PalamodovTel Aviv University

Ban¤ International Research StationHybrid methods in Imaging

June 18, 2015

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 1 / 31

Page 2: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

The objective is to reconstruct three-dimensional maps of variation inresidual elastic strain throughout samples using one-dimensionalprojected data.

Evaluation of the strain requires imaging a six-component tensorquantity in 3D.

An application of tomographic ideas to reconstruction of smallresidual strain �elds from data of di¤raction pattern under penetratedX-ray or neutron radiation was proposed by A. Korsunsky et al:

I Korsunsky A M et al 2006 The principle of strain reconstructiontomography: Determination of quench strain distribution fromdi¤raction measurements Acta Materialia 54

I Korsunsky A M et al 2009 Feasibility study of neutron straintomography Procedia Engineering 1

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 2 / 31

Page 3: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

The objective is to reconstruct three-dimensional maps of variation inresidual elastic strain throughout samples using one-dimensionalprojected data.

Evaluation of the strain requires imaging a six-component tensorquantity in 3D.

An application of tomographic ideas to reconstruction of smallresidual strain �elds from data of di¤raction pattern under penetratedX-ray or neutron radiation was proposed by A. Korsunsky et al:

I Korsunsky A M et al 2006 The principle of strain reconstructiontomography: Determination of quench strain distribution fromdi¤raction measurements Acta Materialia 54

I Korsunsky A M et al 2009 Feasibility study of neutron straintomography Procedia Engineering 1

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 2 / 31

Page 4: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

The objective is to reconstruct three-dimensional maps of variation inresidual elastic strain throughout samples using one-dimensionalprojected data.

Evaluation of the strain requires imaging a six-component tensorquantity in 3D.

An application of tomographic ideas to reconstruction of smallresidual strain �elds from data of di¤raction pattern under penetratedX-ray or neutron radiation was proposed by A. Korsunsky et al:

I Korsunsky A M et al 2006 The principle of strain reconstructiontomography: Determination of quench strain distribution fromdi¤raction measurements Acta Materialia 54

I Korsunsky A M et al 2009 Feasibility study of neutron straintomography Procedia Engineering 1

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 2 / 31

Page 5: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

The objective is to reconstruct three-dimensional maps of variation inresidual elastic strain throughout samples using one-dimensionalprojected data.

Evaluation of the strain requires imaging a six-component tensorquantity in 3D.

An application of tomographic ideas to reconstruction of smallresidual strain �elds from data of di¤raction pattern under penetratedX-ray or neutron radiation was proposed by A. Korsunsky et al:

I Korsunsky A M et al 2006 The principle of strain reconstructiontomography: Determination of quench strain distribution fromdi¤raction measurements Acta Materialia 54

I Korsunsky A M et al 2009 Feasibility study of neutron straintomography Procedia Engineering 1

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 2 / 31

Page 6: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

The objective is to reconstruct three-dimensional maps of variation inresidual elastic strain throughout samples using one-dimensionalprojected data.

Evaluation of the strain requires imaging a six-component tensorquantity in 3D.

An application of tomographic ideas to reconstruction of smallresidual strain �elds from data of di¤raction pattern under penetratedX-ray or neutron radiation was proposed by A. Korsunsky et al:

I Korsunsky A M et al 2006 The principle of strain reconstructiontomography: Determination of quench strain distribution fromdi¤raction measurements Acta Materialia 54

I Korsunsky A M et al 2009 Feasibility study of neutron straintomography Procedia Engineering 1

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 2 / 31

Page 7: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Stress tensor

σ = ∑ σijdxidxj

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 3 / 31

Page 8: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Strain tensor

Constitutive equation σ = cε. where ε is the strain tensor, c is thesti¤ness tensor.

Coaxial case

σij = λδij trε+ 2µεij , trε = ε11 + ε22 + ε33,

where λ, µ are Lamé parameters.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 4 / 31

Page 9: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Strain tensor

Constitutive equation σ = cε. where ε is the strain tensor, c is thesti¤ness tensor.

Coaxial case

σij = λδij trε+ 2µεij , trε = ε11 + ε22 + ε33,

where λ, µ are Lamé parameters.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 4 / 31

Page 10: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Strain tensor

Constitutive equation σ = cε. where ε is the strain tensor, c is thesti¤ness tensor.

Coaxial case

σij = λδij trε+ 2µεij , trε = ε11 + ε22 + ε33,

where λ, µ are Lamé parameters.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 4 / 31

Page 11: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Mathematical model

Let E be an Euclidean space of dimension 3. Symmetric tensor �eldsof rank 1 and 2 are

f = ∑ fidx i , g = ∑ gijdx i � dx j ,

where the product of forms is symmetric.

The coe¢ cients fi and gij = gji transform as vectors and bivectors,respectively.

The symmetric di¤erential reads

Df = g , gii = ∂i fi , gij =12(∂i fj + ∂j fi ) , ∂i = ∂/∂x i .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 5 / 31

Page 12: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Mathematical model

Let E be an Euclidean space of dimension 3. Symmetric tensor �eldsof rank 1 and 2 are

f = ∑ fidx i , g = ∑ gijdx i � dx j ,

where the product of forms is symmetric.

The coe¢ cients fi and gij = gji transform as vectors and bivectors,respectively.

The symmetric di¤erential reads

Df = g , gii = ∂i fi , gij =12(∂i fj + ∂j fi ) , ∂i = ∂/∂x i .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 5 / 31

Page 13: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Mathematical model

Let E be an Euclidean space of dimension 3. Symmetric tensor �eldsof rank 1 and 2 are

f = ∑ fidx i , g = ∑ gijdx i � dx j ,

where the product of forms is symmetric.

The coe¢ cients fi and gij = gji transform as vectors and bivectors,respectively.

The symmetric di¤erential reads

Df = g , gii = ∂i fi , gij =12(∂i fj + ∂j fi ) , ∂i = ∂/∂x i .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 5 / 31

Page 14: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Axial (longitudinal) integrals

For a 2-tensor �eld g with compact support, the axial (longitudinal)ray integrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

where y , v 2 E , v 6= 0 and

g (x ; u, v) = ∑ gij (x) uivj , u, v 2 E .Xg (y , v) = 0 if g is potential, that is g = Df , and f (y) = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 6 / 31

Page 15: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Axial (longitudinal) integrals

For a 2-tensor �eld g with compact support, the axial (longitudinal)ray integrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

where y , v 2 E , v 6= 0 and

g (x ; u, v) = ∑ gij (x) uivj , u, v 2 E .

Xg (y , v) = 0 if g is potential, that is g = Df , and f (y) = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 6 / 31

Page 16: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Axial (longitudinal) integrals

For a 2-tensor �eld g with compact support, the axial (longitudinal)ray integrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

where y , v 2 E , v 6= 0 and

g (x ; u, v) = ∑ gij (x) uivj , u, v 2 E .Xg (y , v) = 0 if g is potential, that is g = Df , and f (y) = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 6 / 31

Page 17: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Bragg scattering

Bragg�s law: 2d sin θ = Nλ :

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 7 / 31

Page 18: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Bragg scattering

Bragg�s law: 2d sin θ = Nλ :

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 7 / 31

Page 19: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Debye-Scherrer rings

Di¤raction patterns (D�S rings) are collected by employing aposition-sensitive detector

Incident X­ray beam

2D detector

sample

Debye­Scherrer rings

E=87KeV, d=0.1mm

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 8 / 31

Page 20: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Determination of the axial integrals

Strain measurementdirection Diffracted

beam

Diffractedbeam

Incident X­ or neutron ray20

The model for the Bragg di¤raction is the axial (longitudinal) rayintegrals of the strain tensor.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 9 / 31

Page 21: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Determination of the axial integrals

Strain measurementdirection Diffracted

beam

Diffractedbeam

Incident X­ or neutron ray20

The model for the Bragg di¤raction is the axial (longitudinal) rayintegrals of the strain tensor.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 9 / 31

Page 22: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 23: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 24: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 25: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)

I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 26: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 27: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant tensor

Adhemar de Saint-Venant (1860) introduced the di¤erentialconsistency equation Vε = 0 for a small potential tensor �eld ε.Boussinesq, Beltrami, Cesaro proved its su¢ ciency for a 2-tensor tobe potential in a simply connected domain. Volterra...

Sharafutdinov: a tensor �eld g in Rn: of rank m with compactsupport is potential if (and only if) the axial line integrals of gvanishes for all lines.

Paternain, Salo, Uhlmann: this property holds for the geodesictransform in simple surfaces with boundary

I Sharafutdinov V A 1994 Integral Geometry of Tensor Fields (VSP)I Paternain G, Salo M, Uhlmann G 2013 Tensor tomography on surfacesInvent. Math. 193 229�47

I Monard F 2014 On reconstruction formulas for the ray transform actingon symmetric di¤erentials on surfaces Inverse Probl. 30

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 10 / 31

Page 28: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant operator

Let Σ2 and Λ2 be the bundles of symmetric and skew symmetricdi¤erential forms of degree 2.

B4 + Λ2 S Λ2 be the symmetric square.

Any b 2 B4 is a tensor �eld whose components bij ,kl are functionssuch that bkl ,ij = bij ,kl , bji ,kl = �bij ,kl , bij ,lk = �...Saint-Venant operator V : Σ2 ! B4 is de�ned for a �eld g 2 Σ2 by

(Vg)ij ,kl + ∂i∂kgjl � ∂i∂lgjk � ∂j∂kgil + ∂j∂lgik .

The �elds ∂i , ∂j , ∂k , ∂l can be replaced here by arbitrary tangentvectors α, β,γ, δ in E :

(Vg)αβ,γδ = ∂α∂γg (β, δ)� ∂α∂δg (β,γ)� ∂β∂γg (α, δ)+ ∂β∂δg (α,γ) .

Tensor Vg vanishes for any potential �eld g = Df , since VD = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 11 / 31

Page 29: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant operator

Let Σ2 and Λ2 be the bundles of symmetric and skew symmetricdi¤erential forms of degree 2.

B4 + Λ2 S Λ2 be the symmetric square.

Any b 2 B4 is a tensor �eld whose components bij ,kl are functionssuch that bkl ,ij = bij ,kl , bji ,kl = �bij ,kl , bij ,lk = �...Saint-Venant operator V : Σ2 ! B4 is de�ned for a �eld g 2 Σ2 by

(Vg)ij ,kl + ∂i∂kgjl � ∂i∂lgjk � ∂j∂kgil + ∂j∂lgik .

The �elds ∂i , ∂j , ∂k , ∂l can be replaced here by arbitrary tangentvectors α, β,γ, δ in E :

(Vg)αβ,γδ = ∂α∂γg (β, δ)� ∂α∂δg (β,γ)� ∂β∂γg (α, δ)+ ∂β∂δg (α,γ) .

Tensor Vg vanishes for any potential �eld g = Df , since VD = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 11 / 31

Page 30: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant operator

Let Σ2 and Λ2 be the bundles of symmetric and skew symmetricdi¤erential forms of degree 2.

B4 + Λ2 S Λ2 be the symmetric square.

Any b 2 B4 is a tensor �eld whose components bij ,kl are functionssuch that bkl ,ij = bij ,kl , bji ,kl = �bij ,kl , bij ,lk = �...

Saint-Venant operator V : Σ2 ! B4 is de�ned for a �eld g 2 Σ2 by

(Vg)ij ,kl + ∂i∂kgjl � ∂i∂lgjk � ∂j∂kgil + ∂j∂lgik .

The �elds ∂i , ∂j , ∂k , ∂l can be replaced here by arbitrary tangentvectors α, β,γ, δ in E :

(Vg)αβ,γδ = ∂α∂γg (β, δ)� ∂α∂δg (β,γ)� ∂β∂γg (α, δ)+ ∂β∂δg (α,γ) .

Tensor Vg vanishes for any potential �eld g = Df , since VD = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 11 / 31

Page 31: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Saint-Venant operator

Let Σ2 and Λ2 be the bundles of symmetric and skew symmetricdi¤erential forms of degree 2.

B4 + Λ2 S Λ2 be the symmetric square.

Any b 2 B4 is a tensor �eld whose components bij ,kl are functionssuch that bkl ,ij = bij ,kl , bji ,kl = �bij ,kl , bij ,lk = �...Saint-Venant operator V : Σ2 ! B4 is de�ned for a �eld g 2 Σ2 by

(Vg)ij ,kl + ∂i∂kgjl � ∂i∂lgjk � ∂j∂kgil + ∂j∂lgik .

The �elds ∂i , ∂j , ∂k , ∂l can be replaced here by arbitrary tangentvectors α, β,γ, δ in E :

(Vg)αβ,γδ = ∂α∂γg (β, δ)� ∂α∂δg (β,γ)� ∂β∂γg (α, δ)+ ∂β∂δg (α,γ) .

Tensor Vg vanishes for any potential �eld g = Df , since VD = 0.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 11 / 31

Page 32: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Reconstruction of the Saint-Venant tensor

Theorem

Let K be a compact set in E and Γ be a smooth curve ful�lling Tuy�scompleteness condition for any point x 2 K .S-V tensor Vε can be recovered from data of axial line integrals of anarbitrary 2-tensor �eld ε supported in K .

Notations. For a 2-tensor �eld g with compact support, the rayintegrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

We set

∂αXg (y ; v) = hα,ry iXg (y ; v) , ∂;αXg (y ; v) =∂

∂tXg (y ; v + tα)jt=0 .

for any α 2 E .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 12 / 31

Page 33: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Reconstruction of the Saint-Venant tensor

TheoremLet K be a compact set in E and Γ be a smooth curve ful�lling Tuy�scompleteness condition for any point x 2 K .

S-V tensor Vε can be recovered from data of axial line integrals of anarbitrary 2-tensor �eld ε supported in K .

Notations. For a 2-tensor �eld g with compact support, the rayintegrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

We set

∂αXg (y ; v) = hα,ry iXg (y ; v) , ∂;αXg (y ; v) =∂

∂tXg (y ; v + tα)jt=0 .

for any α 2 E .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 12 / 31

Page 34: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Reconstruction of the Saint-Venant tensor

TheoremLet K be a compact set in E and Γ be a smooth curve ful�lling Tuy�scompleteness condition for any point x 2 K .S-V tensor Vε can be recovered from data of axial line integrals of anarbitrary 2-tensor �eld ε supported in K .

Notations. For a 2-tensor �eld g with compact support, the rayintegrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

We set

∂αXg (y ; v) = hα,ry iXg (y ; v) , ∂;αXg (y ; v) =∂

∂tXg (y ; v + tα)jt=0 .

for any α 2 E .

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 12 / 31

Page 35: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Reconstruction of the Saint-Venant tensor

TheoremLet K be a compact set in E and Γ be a smooth curve ful�lling Tuy�scompleteness condition for any point x 2 K .S-V tensor Vε can be recovered from data of axial line integrals of anarbitrary 2-tensor �eld ε supported in K .

Notations. For a 2-tensor �eld g with compact support, the rayintegrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

We set

∂αXg (y ; v) = hα,ry iXg (y ; v) , ∂;αXg (y ; v) =∂

∂tXg (y ; v + tα)jt=0 .

for any α 2 E .

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Reconstruction of the Saint-Venant tensor

TheoremLet K be a compact set in E and Γ be a smooth curve ful�lling Tuy�scompleteness condition for any point x 2 K .S-V tensor Vε can be recovered from data of axial line integrals of anarbitrary 2-tensor �eld ε supported in K .

Notations. For a 2-tensor �eld g with compact support, the rayintegrals are

Xg (y ; v) =Z ∞

0g (y + tv ; v , v)dt.

We set

∂αXg (y ; v) = hα,ry iXg (y ; v) , ∂;αXg (y ; v) =∂

∂tXg (y ; v + tα)jt=0 .

for any α 2 E .

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Reconstruction from ray integrals

Problem: reconstruct the Saint-Venant tensor Vε from data of rayintegrals Xε.

First step: for a plane H � E , a point y 2 H and arbitrary vectorsα, β, compute

RH (α,ω; β,ω) =12

Z∂α∂β∂3;ωXε (y ; v)dθ

where ω is a normal vector orthogonal to H and v = v (θ) runs overthe unit circle in H � y .

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Reconstruction from ray integrals

Problem: reconstruct the Saint-Venant tensor Vε from data of rayintegrals Xε.

First step: for a plane H � E , a point y 2 H and arbitrary vectorsα, β, compute

RH (α,ω; β,ω) =12

Z∂α∂β∂3;ωXε (y ; v)dθ

where ω is a normal vector orthogonal to H and v = v (θ) runs overthe unit circle in H � y .

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Reconstruction (cont.)

Second step: for any plane H and arbitrary vectors α, β,γ, δ, set

RH (α, β;γ, δ) = RH (hβ,ωi α,ω; hδ,ωi γ,ω)

� RH (hα,ωi β,ω; hδ,ωi γ,ω)

� RH (hβ,ωi α,ω; hγ,ωi δ,ω)

+ RH (hα,ωi β,ω; hγ,ωi δ,ω) .

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Reconstruction (cc.)

Third step: for arbitrary x 2 K and arbitrary α, β,γ, δ, by H.Lorentz�s formula

(Vε)αβ;γδ (x) = �18π2

Zω2S2

∂pRH (p,ω) jp=hx ,ωi (α, β;γ, δ) ˙,

where ˙ is the area form in unit sphere S2 in Eand H (p,ω) = fy 2 E , hω, yi = pg.

Remark. The �eld ε need not to be smooth e.g. it can hasdiscontinuity on the boundary of the specimen. In this case thecomponents of Vε are singular (generalized) functions in E .

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Reconstruction (cc.)

Third step: for arbitrary x 2 K and arbitrary α, β,γ, δ, by H.Lorentz�s formula

(Vε)αβ;γδ (x) = �18π2

Zω2S2

∂pRH (p,ω) jp=hx ,ωi (α, β;γ, δ) ˙,

where ˙ is the area form in unit sphere S2 in Eand H (p,ω) = fy 2 E , hω, yi = pg.Remark. The �eld ε need not to be smooth e.g. it can hasdiscontinuity on the boundary of the specimen. In this case thecomponents of Vε are singular (generalized) functions in E .

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Gauge �eld

Let ε be an unknown 2-tensor �eld with compact support such thattensor Vε is known.

Any 2-tensor �eld g such that Vg = Vε is called gauge of ε.

Theorem. For any 2-tensor �eld ε supported in a simply-connectedcompact K in E , a gauge �eld g supported in K can be analyticalyconstructed from Vε.

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Gauge �eld

Let ε be an unknown 2-tensor �eld with compact support such thattensor Vε is known.

Any 2-tensor �eld g such that Vg = Vε is called gauge of ε.

Theorem. For any 2-tensor �eld ε supported in a simply-connectedcompact K in E , a gauge �eld g supported in K can be analyticalyconstructed from Vε.

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Gauge �eld

Let ε be an unknown 2-tensor �eld with compact support such thattensor Vε is known.

Any 2-tensor �eld g such that Vg = Vε is called gauge of ε.

Theorem. For any 2-tensor �eld ε supported in a simply-connectedcompact K in E , a gauge �eld g supported in K can be analyticalyconstructed from Vε.

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Gauge �eld (cont.)

Set h = fhijg + Vε and write the S-V system for a gauge g = fgijg :

∂22g11 � 2∂12g12 + ∂11g22 = h33, (1)

∂33g11 � 2∂13g13 + ∂11g33 = h22,

�∂23g11 + ∂12g13 + ∂13g12 � ∂11g23 = h23,

∂33g22 � 2∂23g23 + ∂22g33 = h11,

�∂12g33 + ∂13g23 + ∂23g13 � ∂33g12 = h12,

�∂13g22 + ∂12g23 + ∂23g12 � ∂22g13 = h13,

where ∂ij = ∂i∂j , i , j = 1, 2, 3 and gij = (Vε)ki ,kj .

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Gauge �eld (cc.)

Main step. Find functions gij , i , j = 1, 2 such that

h33 = ∂22g11 � 2∂12g12 + ∂11g22.

The �rst line of (1) with g replaced by ε impliesZh33 (x)dx1dx2 =

Zx1h33 (x)dx1dx2 =

Zx2h33 (x)dx1dx2 = 0

for any x3 2 R, since all εij have compact support.

LetaRe0dt = 1 for a smooth function e0 with support in [0, a1]. The

function

f0 (x1, x2, x3) = h33 (x1, x2, x3)� e0 (x1)Z a1

0h33 (t, x2, x3)dt

ful�ls Z a1

0f0 (t, x2, x3)dt = 0.

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Gauge �eld (cc.)

Main step. Find functions gij , i , j = 1, 2 such that

h33 = ∂22g11 � 2∂12g12 + ∂11g22.

The �rst line of (1) with g replaced by ε impliesZh33 (x)dx1dx2 =

Zx1h33 (x)dx1dx2 =

Zx2h33 (x)dx1dx2 = 0

for any x3 2 R, since all εij have compact support.Leta

Re0dt = 1 for a smooth function e0 with support in [0, a1]. The

function

f0 (x1, x2, x3) = h33 (x1, x2, x3)� e0 (x1)Z a1

0h33 (t, x2, x3)dt

ful�ls Z a1

0f0 (t, x2, x3)dt = 0.

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Gauge �eld (ccc.)

Functions

f1 (x) =Z x1

0f0 (t, x2, x3)dt, f2 (x) = e0 (x1)

Z x2

0

Z a1

0h33 (t, s, x3)dtds

are supported in K and satisfy h33 = ∂1f1 + ∂2f2.

Apply this method to f1 and f2 :

fi = ∂i1f1 + ∂i2f2, i = 1, 2,

and set g11 = f11, g22 = f22, g12 = 1/2 (f12 + f21) .Next steps...

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Gauge �eld (ccc.)

Functions

f1 (x) =Z x1

0f0 (t, x2, x3)dt, f2 (x) = e0 (x1)

Z x2

0

Z a1

0h33 (t, s, x3)dtds

are supported in K and satisfy h33 = ∂1f1 + ∂2f2.

Apply this method to f1 and f2 :

fi = ∂i1f1 + ∂i2f2, i = 1, 2,

and set g11 = f11, g22 = f22, g12 = 1/2 (f12 + f21) .

Next steps...

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Gauge �eld (ccc.)

Functions

f1 (x) =Z x1

0f0 (t, x2, x3)dt, f2 (x) = e0 (x1)

Z x2

0

Z a1

0h33 (t, s, x3)dtds

are supported in K and satisfy h33 = ∂1f1 + ∂2f2.

Apply this method to f1 and f2 :

fi = ∂i1f1 + ∂i2f2, i = 1, 2,

and set g11 = f11, g22 = f22, g12 = 1/2 (f12 + f21) .Next steps...

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Photoelastic tomography

It is an experimental method to determine the stress distribution in anoptically transparent material.

Measurements of the motion of the polarization ellipse

I Aben H, Errapart A, Ainola L, Anton J 2005 Photoelastic tomographyfor residual stress measurement in glass Opt. Eng. 44 093601

I Puro A 1998 Magnetophotoelasticity as parametric tensor �eldtomography Inverse Probl. 14 1315-1330

I Lionheart W and Sharafutdinov V 2009 Reconstruction algorithm forthe linearized polarization tomography problem with incomplete data inimaging microstructures Contemp. Math. 49 137�159 AMS

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Photoelastic tomography

It is an experimental method to determine the stress distribution in anoptically transparent material.Measurements of the motion of the polarization ellipse

I Aben H, Errapart A, Ainola L, Anton J 2005 Photoelastic tomographyfor residual stress measurement in glass Opt. Eng. 44 093601

I Puro A 1998 Magnetophotoelasticity as parametric tensor �eldtomography Inverse Probl. 14 1315-1330

I Lionheart W and Sharafutdinov V 2009 Reconstruction algorithm forthe linearized polarization tomography problem with incomplete data inimaging microstructures Contemp. Math. 49 137�159 AMS

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 20 / 31

Page 53: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Photoelastic tomography

It is an experimental method to determine the stress distribution in anoptically transparent material.Measurements of the motion of the polarization ellipse

I Aben H, Errapart A, Ainola L, Anton J 2005 Photoelastic tomographyfor residual stress measurement in glass Opt. Eng. 44 093601

I Puro A 1998 Magnetophotoelasticity as parametric tensor �eldtomography Inverse Probl. 14 1315-1330

I Lionheart W and Sharafutdinov V 2009 Reconstruction algorithm forthe linearized polarization tomography problem with incomplete data inimaging microstructures Contemp. Math. 49 137�159 AMS

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 20 / 31

Page 54: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Photoelastic tomography

It is an experimental method to determine the stress distribution in anoptically transparent material.Measurements of the motion of the polarization ellipse

I Aben H, Errapart A, Ainola L, Anton J 2005 Photoelastic tomographyfor residual stress measurement in glass Opt. Eng. 44 093601

I Puro A 1998 Magnetophotoelasticity as parametric tensor �eldtomography Inverse Probl. 14 1315-1330

I Lionheart W and Sharafutdinov V 2009 Reconstruction algorithm forthe linearized polarization tomography problem with incomplete data inimaging microstructures Contemp. Math. 49 137�159 AMS

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 20 / 31

Page 55: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Photoelastic tomography

It is an experimental method to determine the stress distribution in anoptically transparent material.Measurements of the motion of the polarization ellipse

I Aben H, Errapart A, Ainola L, Anton J 2005 Photoelastic tomographyfor residual stress measurement in glass Opt. Eng. 44 093601

I Puro A 1998 Magnetophotoelasticity as parametric tensor �eldtomography Inverse Probl. 14 1315-1330

I Lionheart W and Sharafutdinov V 2009 Reconstruction algorithm forthe linearized polarization tomography problem with incomplete data inimaging microstructures Contemp. Math. 49 137�159 AMS

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 20 / 31

Page 56: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Photoelastic tomography (cont.)

Figure: Strain in a plastic protractor seen under polarized light

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Normal traceless integrals

For a small strain tensor ε, the motion of the polarization ellipse ismodelled by the line integral of the traceless normal part of ε.

For a vector v 2 E , the traceless normal part of ε is the 2-tensor Qv ε

Qv ε jP = ε jP �12

tr (ε jP ) id jP

de�ned in any plane P orthogonal to v .

If v = (0, 0, 1)

Qv ε =12(ε11 � ε22) (dx1)

2 + ε12dx1 � dx2 +12(ε22 � ε11) (dx2)

2 .

The traceless normal ray integral of ε is

Tv ε (y ; u,w) =Z ∞

0Qv ε (y + tv ; u,w)dt, u,w 2 P

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Normal traceless integrals

For a small strain tensor ε, the motion of the polarization ellipse ismodelled by the line integral of the traceless normal part of ε.

For a vector v 2 E , the traceless normal part of ε is the 2-tensor Qv ε

Qv ε jP = ε jP �12

tr (ε jP ) id jP

de�ned in any plane P orthogonal to v .

If v = (0, 0, 1)

Qv ε =12(ε11 � ε22) (dx1)

2 + ε12dx1 � dx2 +12(ε22 � ε11) (dx2)

2 .

The traceless normal ray integral of ε is

Tv ε (y ; u,w) =Z ∞

0Qv ε (y + tv ; u,w)dt, u,w 2 P

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Normal traceless integrals

For a small strain tensor ε, the motion of the polarization ellipse ismodelled by the line integral of the traceless normal part of ε.

For a vector v 2 E , the traceless normal part of ε is the 2-tensor Qv ε

Qv ε jP = ε jP �12

tr (ε jP ) id jP

de�ned in any plane P orthogonal to v .

If v = (0, 0, 1)

Qv ε =12(ε11 � ε22) (dx1)

2 + ε12dx1 � dx2 +12(ε22 � ε11) (dx2)

2 .

The traceless normal ray integral of ε is

Tv ε (y ; u,w) =Z ∞

0Qv ε (y + tv ; u,w)dt, u,w 2 P

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Page 60: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Normal traceless integrals

For a small strain tensor ε, the motion of the polarization ellipse ismodelled by the line integral of the traceless normal part of ε.

For a vector v 2 E , the traceless normal part of ε is the 2-tensor Qv ε

Qv ε jP = ε jP �12

tr (ε jP ) id jP

de�ned in any plane P orthogonal to v .

If v = (0, 0, 1)

Qv ε =12(ε11 � ε22) (dx1)

2 + ε12dx1 � dx2 +12(ε22 � ε11) (dx2)

2 .

The traceless normal ray integral of ε is

Tv ε (y ; u,w) =Z ∞

0Qv ε (y + tv ; u,w)dt, u,w 2 P

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Recovering of the displacement �eld

Theorem

Let K be a compact and Γ � EnK be a curve satisfying Tuy�scondition for K . For any 2-tensor ε with support in K such thatVε = 0, the displacement �eld ϕ such that Dϕ = ε can bereconstructed from data of the second derivatives of Tv ε (y)for y 2 Γ, v 2 S2.

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Recovering of the displacement �eld

TheoremLet K be a compact and Γ � EnK be a curve satisfying Tuy�scondition for K . For any 2-tensor ε with support in K such thatVε = 0, the displacement �eld ϕ such that Dϕ = ε can bereconstructed from data of the second derivatives of Tv ε (y)for y 2 Γ, v 2 S2.

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Reconstruction from normal integrals

For any plane H and a point y 2 H, the rays R = R (y , v) withdirection vectors v = v (θ) parallel to H cover H.

For any v , a vector u parallel to H and the normal ω to H form anorthogonal basis in any plane P orthogonal to v .

v uw

H

y

The circle of integration

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Reconstruction from normal integrals

For any plane H and a point y 2 H, the rays R = R (y , v) withdirection vectors v = v (θ) parallel to H cover H.For any v , a vector u parallel to H and the normal ω to H form anorthogonal basis in any plane P orthogonal to v .

v uw

H

y

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Reconstruction (cont.)

Tensor Tv ε (y) is known for y 2 Γ and unit v parallel to H. It hastwo independent components in this basis:

Tv ε (y ;ω,ω) + 12

Z ∞

0(εωω (y + tv)� εuu (y + tv))dt,

Tv ε (y ;ω, u) +Z ∞

0εωu (y + tv)dt.

Calculate the integrals

I1 (y , p,ω) +Z 2π

0∂2;ωTv (θ)ε (y ,ω,ω)dθ,

I2 (y , p,ω) +Z 2π

0∂2;ωTv (θ)ε (y ,ω, u)dθ.

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Reconstruction (cc.)

This yields

∂y3I2 (y , p,ω) = ∂3p

ZH

ϕ2dH,∂

∂y2I2 (y , p,ω) = �∂3p

ZH (p,ω)

ϕ3dH.

Integrating in p we get

∂y3J2 (p,ω) = ∂2p

ZH (p,ω)

ϕ2dH,∂

∂y2J2 (p,ω) = �∂2p

ZH (p,ω)

ϕ3dH,

whereJ2 (p,ω) +

Z p

�∞I2 (y , q,ω)dq.

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Reconstruction (cc.)

This yields

∂y3I2 (y , p,ω) = ∂3p

ZH

ϕ2dH,∂

∂y2I2 (y , p,ω) = �∂3p

ZH (p,ω)

ϕ3dH.

Integrating in p we get

∂y3J2 (p,ω) = ∂2p

ZH (p,ω)

ϕ2dH,∂

∂y2J2 (p,ω) = �∂2p

ZH (p,ω)

ϕ3dH,

whereJ2 (p,ω) +

Z p

�∞I2 (y , q,ω)dq.

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Reconstruction (ccc.)

Compute

J1 (p,ω) + ∂2p

ZH (p,ω)

ϕ1dH =Z p

�∞

∂2

∂y22I1 (y , q,ω)dq.

Finally,

ϕ (x) = � 18π2

ZS2

J (hx ,ωi ,ω) ˙,

where

hJ (p,ω) , ei = he,ωi J1 (p,ω) + [ω, e, ∂/∂y ] J2 (p,ω) .

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Reconstruction (ccc.)

Compute

J1 (p,ω) + ∂2p

ZH (p,ω)

ϕ1dH =Z p

�∞

∂2

∂y22I1 (y , q,ω)dq.

Finally,

ϕ (x) = � 18π2

ZS2

J (hx ,ωi ,ω) ˙,

where

hJ (p,ω) , ei = he,ωi J1 (p,ω) + [ω, e, ∂/∂y ] J2 (p,ω) .

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Page 70: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.

Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 71: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 72: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.

Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 73: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.

Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 74: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .

The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 75: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 76: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Algorithm of full reconstruction of a strain tensor

Step 1. Calculate Vε from data of the axial ray integrals Xε (y , v) fory 2 Γ, v 2 E , jv j = 1.Step 2. Find a gauge �eld g with compact support such thatVg = Vε.

Step 3. Calculate numerically traceless normal integrals Tvg (y , �) fory 2 Γ, jv j = 1.Step 4. Set e = ε� g and have Ve = Vε�Vg = 0.Step 5. Determine the �eld ϕ with compact support such thate = Dϕ from knowledge ofTv e = Tv ε� Tvg .The reconstruction reads ε = g +Dϕ. �

I Palamodov V P 2015 On reconstruction of strain �elds fromtomographic data Inverse Probl.

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 28 / 31

Page 77: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

More pictures

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 29 / 31

Page 78: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 30 / 31

Page 79: Reconstruction of strain –elds from tomographic data · residual elastic strain throughout samples using one-dimensional projected data. Evaluation of the strain requires imaging

Victor Palamodov Tel Aviv University (Ban¤ International Research Station Hybrid methods in Imaging June 18, 2015)Reconstruction of strain �elds from tomographic data 31 / 31