Top Banner
Mechanical properties measurement and modelling Ruˇ zena Chamrov ´ a Laboratory of Construction Materials Ecole Polytechnique Federale de Lausanne Lausanne, Switzerland 2008 Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modellin
27

Mechanical properties measurement and modelling

Dec 27, 2021

Download

Documents

dariahiddleston
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Mechanical properties measurement and modelling

Mechanical properties measurement andmodelling

Ruzena Chamrova

Laboratory of Construction MaterialsEcole Polytechnique Federale de Lausanne

Lausanne, Switzerland 2008

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 2: Mechanical properties measurement and modelling

Scientific view differs from the industrial

I scientific view - fitting a curveI industrial view - same porosity, considerable difference in

strength

porosity

com

pres

sive

str

engt

h [M

Pa]

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 3: Mechanical properties measurement and modelling

The aim is to study mechanical performance ofhydrating cement paste

Aim of the project

I measurement and prediction at early ageI development of in-house FEM code for the predictionI study relationship between microstructural development

and mechanical performance

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 4: Mechanical properties measurement and modelling

Mechanical properties of microstructure are computedby FEM

Mechanicalproperties

Mesh + FEM

Experiment

Model

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 5: Mechanical properties measurement and modelling

Factors influencing the FEM prediction

Mechanical propertiesprediction

Microstructural input

Porosity approach

Connectedness approach

Mesh

Boundaryconditions

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 6: Mechanical properties measurement and modelling

Unstructured meshes capture the geometry better

UnstructuredSemi-structuredStructured

Smoothing

Octree

DelaunayVoxel

Regular tetrahedral

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 7: Mechanical properties measurement and modelling

Semi-structured meshes offer a trade-off

UnstructuredSemi-structuredStructured

Smoothing

Octree

DelaunayVoxel

Regular tetrahedral

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 8: Mechanical properties measurement and modelling

Delaunay mesh does not seem to be practical atpresent

I mesh improvement - spike reduction - is time consumingI memory limitations and complexity of overlaps allow to go

up to 50000 particlesI this approach might be necessary e.g. for transport

properties modelling

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 9: Mechanical properties measurement and modelling

Structured tetrahedral mesh offers trade-off betweensimplicity of generation and capturing of geometry

Tetrahedral meshVoxel mesh

Subdivision into 6 tetrahedra

I mesh is stillunnecessarilyjagged

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 10: Mechanical properties measurement and modelling

Problem of the subdivision into 6 lies in the orientationof elements

I orientation ofelements notsuitable forspheres

I rotating elementswould meanincompatibility forFEM

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 11: Mechanical properties measurement and modelling

2D example shows that subdivision into 5 tetrahedra ismore suitable

Voxel mesh Subdivision - 5

Subdivision - 6

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 12: Mechanical properties measurement and modelling

Tetrahedral meshes produce higher E (10 - 15 %)

degree of hydration [%]

Ela

stic

Mod

ulus

[GP

a]tetrahedra – 6tetrahedra – 5voxels

E for various types of meshes

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 13: Mechanical properties measurement and modelling

Tetrahedral meshes produce higher E (10 - 15 %)

degree of hydration [%]

voxelstetrahedra – 5tetrahedra - 6

Poi

sson

's r

atio

[-]

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 14: Mechanical properties measurement and modelling

On the contrary volume ratios differ by 1 %

Possible explanations

I solely volume ratios cannot precisely explain thisphenomenon

I the connections in the structure got denser with thetetrahedral mesh

I linear tetrahedral element (CST) might not be comparablewith the same size of a hexahedral element

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 15: Mechanical properties measurement and modelling

And we are still not happy with the geometry...

Under implementation

Smoothing Octree

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 16: Mechanical properties measurement and modelling

Factors influencing the FEM prediction

Mechanical propertiesprediction

Microstructural input

Porosity approach

Connectedness approach

Mesh

Boundaryconditions

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 17: Mechanical properties measurement and modelling

More realistic way is not to mesh porosity

Porosity meshing

I sensitive to the elasticproperties assigned toporosity

Real porosity

I computational timeseveral times higher

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 18: Mechanical properties measurement and modelling

Real porosity approach predicts lower E...

degree of hydration [%]

Ela

stic

Mod

ulus

[M

Pa]

meshed porosityreal porosity

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 19: Mechanical properties measurement and modelling

...and lower Poisson’s ratio

degree of hydration [%]

K =2.18 GPareal porosity

Poi

sson

's r

atio

[-]

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 20: Mechanical properties measurement and modelling

Factors influencing the FEM prediction

Mechanical propertiesprediction

Microstructural input

Porosity approach

Connectedness approach

Mesh

Boundaryconditions

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 21: Mechanical properties measurement and modelling

Mechanical properties do not develop from the verybeginning of hydration

All phases intocomputation

Only connectedphases intocomputation

I unconnected phases are thrown away by the burningalgorithm which is provided by the microstructural model

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 22: Mechanical properties measurement and modelling

Connectedness seems to be the most influential factor

degree of hydration [%]

All phasesOnly connected

Ela

stic

Mod

ulus

[M

Pa]

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 23: Mechanical properties measurement and modelling

Factors influencing the FEM prediction

Mechanical propertiesprediction

Microstructural input

Porosity approach

Connectedness approach

Mesh

Boundaryconditions

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 24: Mechanical properties measurement and modelling

There is little difference between BCs - RVEhypothesis correct

degree of hydration [%]

Ela

stic

Mod

ulus

[M

Pa]

displacement BCstatic BCperiodic BC

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 25: Mechanical properties measurement and modelling

2D plain strain of slices is not a substitution for 3Dcomputation

Elastic Modulus of the microstructural slices – displacement BC

Slice of the microstructure

Ela

stic

Mod

ulus

[M

Pa]

direction Xdirection Ydirection Z3D structure

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 26: Mechanical properties measurement and modelling

High E of some slices is caused by low porosity andhigh alite ratio

3D phase ratios 2D phase ratios

Comparison of the phase ratios

phas

e ra

tios

I for correct 2Dpredictionnecessary togenerate new 2Dmicrostructurebased on 3Ddistribution

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling

Page 27: Mechanical properties measurement and modelling

Next plans

code development and prediction of

mechanical propertiesEPFL

porosity prediction, strengthtests - Aalborg

Prague – April 2008

code development EPFL

validation and thesis writingEPFL

Chamrova, Scrivener, Guidoum Project 10 - Mechanical properties measurement and modelling