October 2016 Konstantinos Gkoumas, Ph.D., P.E.
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Education and Milestones - Principal research topics and journal publications - People networking and events 2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Research associate
Sapienza University of RomePhD Student
Sapienza University of Rome
Research associate
Sapienza University of Rome
Research fellow (“Assegnista di ricerca”)
Sapienza University of Rome
Research associate
Sapienza University of Rome
MS
cd
egre
e
(Lau
rea)
P.E
. (G
reece)
P.E
. (It
aly
)
Civil Engineer / Employee - Part time (20+ h/week)
Co.Re. Ingegneria Srl. Ph
D
Public Transport
Dependability of structures and infrastructures Offshore Wind Turbines
Postdoctoral Fellow University
of Goettingen DE (4 months)
Visiting scholar
Harbin Institute
of Technology
PRC (1 month)
Win
d E
ngi
neeri
ng
(Mult
isci
ence
)
Peri
odic
a
Po
lyte
chnic
a
Energy Harvesting (research-development-entrepreneurship)
Structural robustness
Sustainability and Resilience in the urban environment
ASCE EARTH & SPACE 2010
S Chair
EURO 2010
SS Organiser & Chair
IABMAS 2012
SS Organiser & Chair
ASEM 2013
SS Chair
ICOSSAR 2013
Session Chair
STRUCTURES 2013
SS Organiser & Chair
DCEE 2015
Session Chair
DCEE 2016
Chair
ESA
piezoTsensor
Co-founder
research Spin-off
Visiting scholar
University of Illinois
USA (1 month)
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Overview of selected research topics
Sectors and topics
Offshore wind turbines
Dependability of structures
and infrastructures
Structural robustness
Sustainability and resilience in
the urban environment
Energy harvesting
Risk Analysis and Fire Safety
Engineering
Details
Public transport operation control
Preliminary study of support structures for an
offshore wind farm
Case studies: tunnel and steel structures
Conceptual framework, applications in bridges
and high rise buildings
Conceptual framework, application in bridges
Academic research, space technology transfer,
entrepreneurship
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Transportation systems engineering• Education background
• Civil engineering degree (5ys) with transportation systems specialization
• PhD in Transportation and Infrastructure Engineering
• Post doc in applied optimisation
• PhD Thesis research
• Thesis Title: Real time control of public transit
• Conception and implementation in VBA of a stochastic public transit simulation model for the investigation of real time control strategies
• Main objectives
• Improvement in transit speed and regularity with specific reference to intermediate capacity transit systems
• Definition and implementation of a transit line operation model for a single transit line
• Observation of some of the common phenomena in presence of service irregularity
• Implementation of control strategies:
• Threshold and information based vehicle holding
• Conditional priority strategy
• Multiclass priority strategy
• Principal results
• Headway patterns at stops that can be useful in traffic assignment
• Holding leads to significant reductions in waiting time, while not increasing travel time, but its integration with conditional and multiclass priority has a minor effect on regularity improvement
• Sensitivity analyses substantiate the performance gain
• Scientific outcomes• Bellei, G., Gkoumas, K. (2010). “Transit vehicles’ headway distribution and service
irregularity”, Public Transport, 2(4): 269-289
• Bellei, G., Gkoumas, K. (2009). “Threshold- and information-based holding at multiple stops”, IET Intelligent Transport Systems journal, 3(3): 304-313
• More than 10 conference publications in national and international conferences
TDmn = TAmn + Smn Smn = a0 + a1 Bmn + a2 Amn Tn = T(tn, knmin, kn
max)
Lmn = Lm,n -1 + Bm,n -1 - Am,n -1TAmn = maxTDm,n -1 + Tn; TDm -1,n + dmin
CRmn = CV - Lmn + Amn
Rmn = max0; Wmn - CRmn
Bmn = minWmn; CRmn
Pmn = P[bn(TAmn - TDm 1,n)]
Wmn = Rm-1, n + Pmn
Amn = A(nLmn)
0
2000
4000
6000
8000
10000
12000
0 1000 2000 3000 4000 5000
Spa
ce (m
.)
Time (s.)
Time - space diagram
4000
4500
5000
5500
6000
6500
7000
7500
8000
2500 2700 2900 3100 3300 3500 3700 3900 4100 4300 4500
Spa
ce (m
)
Time (s)
Time - space diagram
Controlstop
Controlledvehicle
Precedingvehicle
hmn hPmin
max
C-g
0
2000
4000
6000
8000
10000
12000
0 1000 2000 3000 4000 5000 6000 7000 8000
Spac
e (m
.)
Time (s.)
Time - space diagram
Dependent variables
Independent variable Future trajectory
Past trajectory
Controlled vehicle
Preceding vehicle
Following vehicle
Controlstop
(TRm+1,n - TRm-1,n)
0.5 * (TRm+1,n - TRm-1,n)
Stop 20 (5700 m)
0
1
2
3
4
5
6
7
8
9
20 120
220
320
420
520
620
720
820
920
1020
1120
1220
time (s)
Base simulation model with capacity constraint
A single simulation outcome
Evaluation parameters
Information based holding
Conditional priority at stopsHeadway distribution at stops
total system time (ST)
total transit passenger time
transit total waiting time (WT)
transit total travel time (TT)
transversal traffic delay (TD) – possibly underestimated Deterministic calculation
Principal line traffic not affected – uncompensated green extensions
transit total potential travel time (PT) – (95th percentile – mean arrival time), approximated by 1,65
Excess waiting depending on departure time dispersion otherwise not considered, since passenger arrivals at stops is assumed not to depend on schedule
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
An offshore wind farm in the Mediterranean sea
Offshore wind turbines
Nominal power of a single turbine 3.0÷5.0 MW
Number of turbines 105
Hub height 100 ÷ a.s.l.
Nominal power of a the farm 315 ÷ 525 MW
Minimum distance from the shore 10 Km
Surface of the wind farm area 67.20 Km2
Water depth 20-35 m
Life span 29 years
Offshore wind farm: key facts
A. Structure
1. Main components
(d) Tower
(c) Blades
(b) Nacelle
(a) Rotor
(e) Substructure (f) Foundations
(e) Low sp. shaft
(a) Steel (b) Concrete (c) Alluminium/iron (d) Plastic
3. Materials
4. Systems
(a) Electrical
(c) Hydraulics
(b) Mechanical
(e) Coating
2. Secondary comp.
(d) Transformer
(c) Brake
(b) Gear box
(a) Generators
B. Conditions & Loads
1. Principal loads
(b) Waves
(a) Wind
2. Marine conditions
(b) Marine growth
(a) Water level
(a) Air temperature (b) Humidity (c) Solar radiation
C. Facilities
1. On the OWT
(b) Maintenance plt.
(a) Landing platform
2. Near the OWT farm
(a) Meteorological st. (b) Energy pr. center (c) Maritime traffic
D. Dependencies
1. Power
3. Financial
2. Communications
4. Supplies
5. Emerg. Responce
(a) First aid (b) Police (c) Maritime authority (d) Hospitals
6. External Contractors
E. Linkage
1. Economy
3. Military
2. Social
F. Operation
1. Authorities
(b) Management
2. Aspects
(a) Port authorities (b) Goverment (c) Regional auth.
5. Personnel
(c) Maintenance
(a) Financial
(b) Other
(a) Technical
G. Technology
(a) GPS (b) Accelerometers (c) Strain gauges
(e) Thermometers (f) CCTV
(d) Seismographs
(g) Field equipment
1. Monitoring
2. Control
(a) Yaw control
(i) Meteorological
(h) Maritime traffic
(b) Pitch control
3. Data transmission
(b) Wireless
(a) Cable
4. Computer center
(b) Software
(a) Hardware
(d) Internet/LAN
(c) Data bases
4. Regulations
3. Policies
4. Location
(c) External
(f) High sp. Shaft (g) Junctions/bearings
5. Protection
(a) Lighting prot.
(c) Sea current
3. Other conditions
(d) Rain, hail, ice (e) Chem. act. subst. (f) Mech. act. subst. (g) Salinity (h) Lighting (i) Seismicity (j) Water density (k) Water temp.
zy
x,x’z’
y’
Waves
Mean wind
Current
P
(t)vP
(t)wP
(t)uP
Turbulent wind Vm(zP)P
H
h
vw(z’)
Vcur(z’)
ENVIRONMENT ZONE
Structure
Non environmental solicitations
EXCHANGE ZONE
Structural(non-environmental)
systemSite-specific environment
Wind site basic parameters
Other environmental agents
Aerodynamic and aeroelastic phenomena
Hydrodynamic phenomena
1. Aleatoric2. Epistemic3. Model
Types of uncertainties
1. Aleatoric2. Epistemic3. Model
1. Aleatoric2. Epistemic3. Model
STRUCTURE
Wind, wave and current actions
Interaction parameters (IP) Structural parameters (SP)Intensity Measure (IM)
Propagation Propagation
Wind-wave-structure interaction Risk Analysis - Hierarchical Holographic Modeling (HHM)
Petrini F., Manenti S., Gkoumas K., Bontempi F. (2010). Structural design and analysis of
offshore wind turbines from a system point of view,Wind Engineering, 34(1): 85-108
Petrini, F., Gkoumas, K., Zhou, W. and Li, H. (2012). Multi-level structural modeling of an
offshore wind turbine, Ocean Systems Engineering, 2(1): 1-16
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Dependability and robustness of structures
3759
42 4535 38
23
6341
58 5565 62
77
0
20
40
60
80
100
1 2 3 4 5 6 7
Rob
ustn
ess %
ScenarioCf max Robustness
3759
42 4535 38
23
6341
58 5565 62
77
0
20
40
60
80
100
1 2 3 4 5 6 7
Robu
stnes
s %
ScenarioCf max Robustness
83 87 88
53 60
8664
17 13 12
47 40
1436
0
20
40
60
80
100
1 2 3 4 5 6 7
Robu
stnes
s %
ScenarioCf max Robustness
Damage scenario Damage scenariod1 d2 d3 d4 d5 d6 d7 d1 d2 d3 d4 d5 d6 d7
d6
Pier 6Pier 7
Nort
h
d1d2d3
d4d5
d7
Pier 6
Kun λiun
Eigenvalues
Kdam λidam
Consequence factor
Robustness index
Olmati, P., Gkoumas, K., Brando, F., Cao, L. (2013). “Consequence-based robustness assessment of a steel
truss bridge”, Steel and Composite Structures, An International Journal, 14(4): 379-395
Structural robustness of a steel truss bridge - Evaluation of a consequence factor
Special Session organiser: Progressive Collapse and Structural Robustness: An International Perspective. Chairs: Dr.
Konstantinos Gkoumas, Prof. Clay Naito, ASCE/SEI Structures Congress, Pittsburgh, May 2-4, 2013
Dependability attributes, threats and means
Sgambi, L., Gkoumas, K., Bontempi, F. (2012). Genetic Algorithms for the Dependability Assurance in the Design
of a Long Span Suspension Bridge, Computer-Aided Civil and Infrastructure Engineering, 27(9): 655-675
System Decomposition - Structural Health Monitoring
Gkoumas, K. (2005). Requirements and main aspects of an intelligent Monitoring System for Long Span Bridges,
Proceedings of the 10th Int. Conf. on Civil, Structural and Environmental Engineering Computing, Rome, Italy,
August 28- September 2
MAINSTRUCTURAL
SYSTEM
AUXILIARYSTRUCTURAL
SYSTEM
SECONDARYSTRUCTURAL
SYSTEM
SPECIALDECK ZONES
BRIDGEDECK
HIGHWAY SYSTEM
RAILWAY SYSTEM
OPERATION
MAINTENANCE
EMERGENCY
FOUNDATION OF TOWERS
TOWERS
ANCHORAGESSUPPORTINGCONDITION
HIGHWAY BOX-GIRDER
CROSS BOX-GIRDER
RAILWAY BOX-GIRDER
INNER
OUTER
BRIDGESUPERSTRUCTURE
MACRO-LEVELS
MESO-LEVELS
SUSPENSIONSYSTEM
SADDLES
MAIN CABLES
HANGERS
SUSPENSIONSYSTEM
HANGERS
Acoustic monitoring system (integrity)Stress/Displacement Sensors (stress)
SADDLES
MAIN CABLES
Acoustic monitoring system (integrity)
Thermometers (temperature)
Thermometers (temperature)
3d accelerometers (acceleration)
Stress sensors (saddle support stress)
3d accelerometers (acceleration)
MAINSTRUCTURAL
SYSTEM
AUXILIARYSTRUCTURAL
SYSTEM
SECONDARYSTRUCTURAL
SYSTEM
SPECIALDECK ZONES
BRIDGEDECK
HIGHWAY SYSTEM
RAILWAY SYSTEM
OPERATION
MAINTENANCE
EMERGENCY
FOUNDATION OF TOWERS
TOWERS
ANCHORAGESSUPPORTINGCONDITION
HIGHWAY BOX-GIRDER
CROSS BOX-GIRDER
RAILWAY BOX-GIRDER
INNER
OUTER
BRIDGESUPERSTRUCTURE
MACRO-LEVELS
MESO-LEVELS
SUSPENSIONSYSTEM
SADDLES
MAIN CABLES
HANGERS
SUSPENSIONSYSTEM
HANGERS
Acoustic monitoring system (integrity)Stress/Displacement Sensors (stress)
SADDLES
MAIN CABLES
Acoustic monitoring system (integrity)
Thermometers (temperature)
Thermometers (temperature)
3d accelerometers (acceleration)
Stress sensors (saddle support stress)
3d accelerometers (acceleration)
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Sustainability and resilience
Load
Network Model for resilience
Multi-hazard Scenarios
Local Level
NetworkLevel
Local resilience indicators Network resilience indicators
ASS
ESSM
ENT
an
d M
ITIG
ATIO
N
(An
aly
sis
for
each
no
de
an
d li
nk)
Scenario output before mitigation
Scenario output after mitigation
ResIStframework for resilience assessment
Structure performanceA
B Recovery
E.g. Repair time
Damage
Action
Damage/Disservice
% of rescued
Action values
IM
A
IM
100 %
People safetyB
Quality
Indicator
Status of nodes and links
(no interaction)A
Quality
Indicator
Interactions effects (quality drop)B
L0i TR
i
Quality (network level)
Combination of local indicators
Indicator
L0 TR
Resilience ∞ 1 /A
C
Local resilience indicators are evaluated for each node and Link and for each scenario
Network resilience indicators are evaluated for each scenario
---- = Output
---- = comment
Qua
lity
L0 = initial lossesTR = recovery time
Infrastructure
representation
Hazard
Analysis
Protection
analysis
Performance
analysis
Resilience Assessment
Network Level
1
2 System Recovery functionD
** Picture taken from:
Decò A., Bocchini P., Frangopol D.M.. A probabilistic approach for the prediction of seismic resilience of bridges.
Earthquake Engineering and Structural Dynamics, Wiley, DOI: 10.1002/eqe.2282
Recovery
analysis
**
3
RISE
framework for resilience assessment
R.I.S.E. Resilient Infrastructures and Structures against Emergencies
Basis: EU 7th FP proposal (Not financed) ~ 12 groups; 7 WPs
Involvement: Dissemination W.P. (with Uniroma 1)
Objectives:
- improved design of urban areas and increase of security
- system approach to resilience enhancements for large urban built infrastructures
Sustainable development - diagrid structures
• Numerical modelling
• Sustainability assessment in terms of structural steel weight saving
• Comparison with ordinary tall buildings
• Structural behaviour and robustness
Milana, G., Olmati, P., Gkoumas, K., Bontempi, F. (2015) “Ultimate capacity of
diagrid systems for tall buildings in the nominal configuration and the damaged
state”, Periodica Polytechnica Civil Engineering,Vol.59, No. 3, pp. 381 – 391
“Sustainability Concepts in the Design of High-Rise buildings: the case
of Diagrid Systems”. “Laurea Magistrale” (M.Sc.) Thesis at the Sapienza
University of Rome, Faculty of Civil and Industrial Engineering. Candidate: Giulia
Milana. Final grade: 110/110 “Summa cum Laude”. Advisor: Prof. Franco
Bontempi, co-advisor: Konstantinos Gkoumas, PhD. Defended in March 2014
Structural Models (3D view of the Diagrid Structure, Outrigger Structure and
Diagrid Structure =75°)
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Energy harvestingNumerical modeling• Space technology transfer for the design, testing, production and commercialization of a self-
powered piezoelectric temperature and humidity sensor (piezoTsensor www.piezotsensor.eu),
for the optimum energy management in building HVAC (Heating,Ventilation and Air Condition) systems
• Energy Harvesting (EH) device that uses a piezoelectric bender and an appropriate customizable
aerodynamic fin that takes advantage of specific air flow effects (principally Vortex Shedding) for
producing energy
• Principal entrepreneur together with Francesco Petrini, PhD for StroNGER srl
• European Patent Application: 09.12.2015 Bulletin 2015/50 Application number: 15170907.8
MSc Thesis co-advisor
“Flow-Induced Energy Harvesting for Smart
Buildings: Conceptual Design of an Innovative
Piezoelectric Bender”. “Laurea Magistrale”
(M.Sc.) Thesis at the Sapienza University of Rome,
Faculty of Civil and Industrial Engineering. Candidate:
Sara Ferri. Final grade: 110/110 “Summa cum
Laude”.
“Energy Harvesting in Civil Structures under
Wind Action: Application of Piezoelectric
Devices”. “Laurea Specialistica” (M.Sc.) Thesis at
the Sapienza University of Rome, Faculty of Civil and
Industrial Engineering. Candidate: Oriana De
Gaudenzi. Final grade: 110/110.
Wind-tunnel testing
Academic activity
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
Risk Analysis and Fire Safety Engineering• Risk analysis for road tunnels
• Implementation of the OECD/PIARC QRAM software
• Application on a long road tunnel in Southern Italy
1,00E-03
1,00E-02
1,00E-01
initi
al c
urve
Bus
ratio
= 0
Bus
Coa
ches
Rat
io =
HG
V R
atio
LPG
in B
ulk
=LPG
in C
ylin
der =
0.1
5LP
G in
Cyl
inde
r = 0
.30
Peop
le in
a L
ight
Veh
icle
= 1
Peop
le in
a L
ight
Veh
icle
= 1
.5Pe
ople
in a
Lig
ht V
ehic
le =
2.5
Peop
le in
a L
ight
Veh
icle
= 3
Peop
le in
a H
GV
= 1.
5Pe
ople
in a
HG
V =2
Peop
le in
a H
GV
= 3
facc
x 1
0fa
cc x
10-
1D
G-H
GV
cor
rect
ion
fact
or *
10-1
DG
-HG
V tra
nspo
rt co
rrect
ion
fact
or *
10C
ambe
r = 2
.5C
ambe
r = 4
.12
Gro
und
(Bad
Roc
k): 1
Gro
und
Type
(Fra
gmen
ted)
: 2Se
gmen
t Gra
dien
t = 0
Segm
ent G
radi
ent =
3Se
gmen
t Gra
dien
t (S
OU
TH) =
-0.3
2Se
gmen
t Gra
dien
t (N
OR
TH) =
-0.3
2Se
gmen
t Gra
dien
t =
-3N
umbe
r of L
anes
1N
umbe
r of L
anes
3C
onst
ruct
ion
2 (R
ecta
ngua
lar c
ross
-sec
tion)
Nor
mal
Lon
gitu
dina
l Ven
tilat
ion
105
Nor
mal
Lon
gitu
dina
l Ven
tilat
ion
210
Ope
n Ar
ea o
f dis
cret
e D
rain
s =
0O
pen
Area
of d
iscr
ete
Dra
ins
* 2Em
erge
ncy
Com
s =
1 (b
ell/s
iren)
Emer
genc
y C
oms
= 2
(Pub
lic A
ddre
ss s
yste
m)
Emer
genc
y Lo
ngitu
dina
l Ven
tilat
ion
200
Emer
genc
y Lo
ngitu
dina
l Ven
tilat
ion
300
Emer
genc
y Lo
ngitu
dina
l Ven
tilat
ion
→ R
ever
se F
low
Aver
age
Spac
ing
betw
een
Emer
genc
y Ex
its =
200
Aver
age
Spac
ing
betw
een
Emer
genc
y Ex
its =
400
Del
ay fo
r Sto
ppin
g Tr
affic
= 1
min
Del
ay fo
r Sto
ppin
g Tr
affic
= 2
min
Del
ayfo
r Sto
ppin
g Tr
affic
= 3
min
Del
ay fo
r Sto
ppin
g Tr
affic
= 4
min
Del
ay fo
r Sto
ppin
g Tr
affic
= 5
min
Del
ay fo
r Sto
ppin
g Tr
affic
= 1
0 m
in
EVs in Direction South
TUNNEL ST. DEMETRIO: SENSITIVITY ANALYSIS RESULTS
Traffic
Frequency
of accidents
Structure
details
Safety
equipment
Number of Lanes
facc x 10
DG-HGV factor x 10
Delay for stopping approaching trafficBUS ratio
Gkoumas, K., Di Santo, C., Bontempi, F. (2016) “Risk analysis for severe traffic accidents in long road tunnels”, International
Journal of Forensic Engineering,Vol. 3, No. 1-2, pp. 106-126
"Risk analysis for severe traffic accidents in road tunnels". “Laurea Magistrale” (M.Sc.) Thesis at the Sapienza University of
Rome, Faculty of Civil and Industrial Engineering. Candidate: Carmine Di Santo. Final grade: 110/110 “Summa cum Laude”.
Advisor: Prof. Franco Bontempi, co-advisor: Konstantinos Gkoumas, PhD. Defended in January 2015
BASIC PRINCIPLE ASET > RSET
RSET : Required safe escape time
ASET : Available safe escape time by a fire model or similar tools
MILLING
Evacuation starts after 190,01s
The last occupant leaves the
compartment after 228s
The fire is still in the development phase
HRR(t= 228s) = 3,24 MW
20
m
37,5m
Human behavior and evacuation in fire
“The human behavior from «bit player» to «key
player»: fire and evacuation simulation in an
industrial building”. “Laurea Magistrale” (M.Sc.) Thesis at
the Sapienza University of Rome, Faculty of Civil and
Industrial Engineering. Candidate: Monica Capobelli. Final
grade: 110/110. Advisor: Prof. Franco Bontempi, co-advisors:
Chiara Crosti, PhD, Konstantinos Gkoumas, PhD. Defended
in January 2016
October 2016 Konstantinos Gkoumas, Ph.D., P.E.
October 2016
Workshop chair
The 5th International Workshop on Design in Civil and
Environmental Engineering
October 6-8th Sapienza University of Rome, ITALY
DCEE 2016 - www.dcee2016.eu
Constant commitment and synergistic activities in
the last three editions of the DCEE series of
workshops
Session Chairman at the 4th International Workshop on Design in Civil and Environmental
Engineering (DCEE4), National Taiwan University, Taipei, Taiwan, October 30-31, 2015.
Papers:
Gkoumas, K., Petrini, F., Arangio, S., Crosti, C., Bontempi, F. “Development of a piezoelectric
energy harvesting sensor: from concept to reality”, 5th International Workshop on Design in
Civil and Environmental Engineering, Sapienza University of Rome, Italy, October 6-8, 20
Bontempi, F., Gkoumas, K., Arangio, S., Petrini, F., Crosti, C. “The long way towards a sound
framework for structural design: 10 years of experience in Rome”, 4th International Workshop
on Design in Civil and Environmental Engineering, National Taiwan University, Taipei, Taiwan,
October 30-31, 2015
Gkoumas, K., Petrini, F., Bontempi, F. “Design for robustness, resilience and anti-fragility in the
built and urban environment: considerations from a civil engineering point of view”, 4th
International Workshop on Design in Civil and Environmental Engineering, National Taiwan
University, Taipei, Taiwan, October 30-31, 2015
Milana, G., Gkoumas, K., Bontempi, F. “Sustainability Concepts in the Design of High-Rise
buildings: the case of Diagrid Systems”, Proceedings of the 3rd International Workshop on
Design in Civil and Environmental Engineering, Technical University of Denmark, Denmark,
August 21-23, 2014 Lotte Bjerregaard Jensen & Mary Kathryn Thompson Editors, pp. 170-179,
ISBN 978-0-9894658-3-0
Ferri, S., Gkoumas, K., Petrini, F. and Bontempi, F. “Flow-induced energy harvesting:
conceptual design and numerical analyses of a piezoelectric bender for smart building
applications”, Proceedings of the 3rd International Workshop on Design in Civil and
Environmental Engineering, Technical University of Denmark, Denmark, August 21-23, 2014
Lotte Bjerregaard Jensen & Mary Kathryn Thompson Editors, pp. 146-156, ISBN 978-0-
9894658-3-0
W orkshop Chairs
Prof. Franco Bontempi, Sapienza Università di Roma
Dr. Konstantinos Gkoumas, StroNGER srl
International Advisory Committee
Prof. Franco Bontempi, Sapienza Università di Roma
Prof. Cristopher A. Brown, Worcester Polytechnic Institute
Prof. Markus J. Buehler, Massachusetts Institute of Technology
Dr. Renate Fruchter, Stanford University
Prof. Charis Gantes, National Technical University of Athens
Prof. Timo Hartmann, TU Berlin
Prof. Shang-Hsien “Patrick” Hsieh, National Taiwan University
Prof. Lotte Bjerregaard Jensen, Technical University of Denmark
Prof. Adib Kanafani, University of California Berkeley
Prof. Yoshiaki Kubota, Kyoto University
Prof. H.K. Lee, Korea Advanced Institute of Science and
Technology
Prof. Giuseppe Longhi, Università IUAV di Venezia
Prof. Pier Giorgio Malerba, Politecnico di Milano
Prof. Ser Tong Quek, National University of Singapore
Prof. Mary Kathryn Thompson, Technical University of Denmark
Dr. Nicola Tollin, Bradford Centre for Sustainable Environments
Prof. Nobuyoshi Yabuki, Osaka University
Local Advisory Committee
Monica Antinori, MSc, Fondazione Promozione Acciaio
Prof. Fabio Biondini, Politecnico di Milano
Prof. Antonio Cappuccitti, Sapienza Università di Roma
Dr. Linda Comerlati, Università IUAV di Venezia
Prof. Mario De Stefano, Università degli Studi di Firenze
Dr. Antonio Fioravanti, Sapienza Università di Roma
Prof. Elena Mele, Università degli Studi di Napoli Federico II
Dr. Fausto Mistretta, Università degli Studi di Cagliari
Dr. Pierluigi Olmati, Tokyo Polytechnic University, Japan
Prof. Maria Laura Santarelli, Sapienza Università di Roma
Dr. Luca Sgambi, Université catholique de Louvain, Belgium
Prof. Mauro Sassu, Università di Pisa
Prof. Tomaso Trombetti, Università di Bologna
Prof. Patrizia Trovalusci, Sapienza Università di Roma
Organizing Committee
Alessandra Aguinagalde, Civil Engineer, BSc
Dr. Stefania Arangio, Sapienza University of Rome
Agnese Bregnocchi, MSc, Sapienza University of Rome
Dr. Chiara Crosti, StroNGER srl
Giovanni Dimase, Civil Engineer, MSc
Giuseppe Galiano, MSc, Sapienza University of Rome
Marco Lucidi, Civil Engineer, MSc
Dr. Francesco Petrini, Sapienza University of Rome
Deadlines
August 15, 2016: Abstract submission
August 30, 2016: Abstract peer review
September 15, 2016: Paper submission
September 30, 2016: Paper peer review
Review and publication
All papers will be peer reviewed and authors will
be notified of the results via e-mail.
All accepted papers will be published in the
conference proceedings and will be available in
electronic form after the workshop.
At least one author of each accepted paper is
expected to register.
W orkshop venue
The workshop will be held at the School of
Engineering of the Sapienza University of Rome.
Participation cost
Early (by September 15) / student: 300 €
Normal: 350 €
Extra paper: 100 €
Contact
For more information, please contact
Committees
IntroductionIn his 1969 book "The Sciences of the Artificial" (MIT Press), Herbert A. Simon, argues
that design is the central activity that defines engineering and distinguishes it from the
natural sciences. In fact, design is much more than engineering: it encompasses many
different skills and disciplines.
In Civil and Environmental Engineering (CEE) in particular, design has typically been
housed within each of the civil domains, shrouded by analysis, replaced by standards and
building codes, and unable to cross the disciplinary boundaries as it was meant to do.
Yet, many of the greatest challenges that humanity will face in the 21st century will
require civil and environmental engineers and architects to develop creative and
innovative solutions that will radically alter our infrastructure and the built environment.
The DCEE series of workshops explore what it would mean for design to be a discipline
within CEE, what it means for design to be a discipline in other areas of engineering, and
the implication for interdisciplinary design in cooperation with other fields such as
architecture, urban planning, industrial design, product design and more.
It is a great pleasure to welcome you to Rome for the 5th International Workshop on
Design for Civil and Environmental Engineering where we will explore the nature of
design in civil and environmental engineering and establish the foundation for civil design
research.
The workshop scientific program is divided in 6 sessions on design methodology and
education, and on the role of the interdisciplinarity in the design process, with 18
presentations and 2 plenary lectures.
The workshop includes two guided tours. The first tour is at the Palazzo della Civiltà
Italiana known also as the Colosseo Quadrato(Square Colosseum), an icon of Modern
Architecture, nowadays housing the luxury fashion label Fendi. The second tour will focus
on ancient Rome, and on recent and extraordinary findings in the north-eastern area of
the Palatine Hill archaeological site.
We hope you will enjoy your staying in Rome and we look forward to fruitful discussions
during the meetings and the other activities.
The Workshop Chairs
Prof. Franco Bontempi, Sapienza Università di Roma
Dr. Konstantinos Gkoumas, StroNGER srl
Workshop program
The workshop will include two guided tours and invited lectures.
You can download the up-to-date program from the workshop website.
Invited plenary lectures:
Prof. Pier Giorgio Malerba, Department of Civil and Environmental
Engineering, Politecnico di Milano
Conceptual design: from abstract reasoning to consistent details.
Prof. Charis Gantes, School of Civil Engineering, National Technical
University of Athens.
Interaction between education, research and practice in structural steel design.
Topics
Topics include but are not limited to:
Interdisciplinary challenges in engineering design
• Structure (Heritage structures, Civil/structural, Optimization, new materials)
• Systems (Indoor climate/energy, District and urban scale, Resilience,
Energy Harvesting)
• Construction (BIM, drones, Surveying...)
• Life Cycle Assessment in engineering design
• Environmental Engineering (Flood risk and climate change design challenges)
Design methodology
• Integration and interdisciplinarity
• Philosophy
• Aesthetics
• Form finding/Parametric Design
• Influence from other sciences (e.g. biology, neuroscience)
• Innovation
• Economic challenges/governance
Design Education in engineering design
5th International Workshop on
Design in Civil and Environmental Engineering
October 6-8th Sapienza University of Rome, ITALY
DCEE 2016 - www.dcee2016.eu
DCEE workshops
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