Edited by: P. Iványi, J. Logo and B.H.V. Topping
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| 1 | Structural Optimization Modeling and Simulation, organised by:
Dr M.M. Rad, Prof. R. Cucuzza, Prof. M. Domaneschi, Prof. G.C. Marano and Prof A.M.B. Martins |
|
| 1.1 |
Multi-Objective Shape Optimization
of Multi-Axis Wave Energy Converter
A. Shadmani, M.R. Nikoo and A.H. Gandomi |
10 |
| 1.2 |
A Tractable Robust Topology Optimization for Anomalous Non-Symmetric Cases
A. Csébfalvi and J. Lógó |
10 |
| 1.3 |
Computational framework for a family of
methods for stress-constrained topology
optimization
J. Lógó, P. Tauzowski and B. Blachowski |
6 |
| 1.4 |
Optimisation of Pre-cast Slab Systems for
Large Span Floors and Roofs
B. Raphael |
8 |
| 1.5 |
Construction-based optimization criteria
for steel trusses
R. Cucuzza, M. Domaneschi, J.C.O. Garcia,
M.M. Rad and M. Habashneh |
11 |
| 1.6 |
Enhancing thermal topology optimization
with an elasto-plastic algorithm
M.M. Rad, M. Habashneh, R. Cucuzza,
M. Domaneschi and J. Melchiorre |
7 |
| 1.7 |
Optimizing Transportation Plans of Designated Radioactive Waste Using Quantum Annealing
N. Yabuki, J. Makino and T. Fukuda |
11 |
| 1.8 |
On design-dependent loads in a NURBS-density-based topology optimisation method
E. Urso, S. Zerrouq and M. Montemurro |
11 |
| 1.9 |
Optimization of bowstring tied-arch concrete bridges
A.M.B. Martins, L.M.C. Simoes and J.H.J.O. Negrao |
10 |
| 1.10 |
A surrogate model based on NURBS entities
for engineering problems
B. Vuillod, M. Zani, L. Hallo, E. Panettieri and M. Montemurro |
12 |
| 1.11 |
SCF Prediction using the
Finite Element Method Coupled with
Sobol Sampling and Bayesian Optimization
A. Mohammed, S. R. Dasari and Y. M. Desai |
10 |
| 1.12 |
On Filtering Techniques for
Topology Optimisation based on
B-Spline Entities
S. Zerrouq and M. Montemurro |
10 |
| 2 | Machine Learning-Assisted Structural Optimization, organised by
Prof. W. Zhang, Prof. G. Yoon, Prof. A. Takezawa, Prof. S. Ryu, Prof. X. Guo, Prof. S. Youn and Prof. G. Cheng
|
|
| 2.1 |
Topology optimization considering
the effect of two-phase fluid
G.H. Yoon |
7 |
| 2.2 |
Machine-learning assisted topology optimization with structural gene inheritance
W. Zhang, S.-K. Youn and X. Guo |
10 |
| 2.3 |
Multi-objective Optimisation
of Dynamic Properties and Cost
of a Composite Shell
B. Miller and L. Ziemianski |
9 |
| 2.4 |
Sketch driven machine-learning
based topology optimization
Y. Wang, W. Zhang, S.-K. Youn and X Guo |
8 |
| 2.5 |
A stepwise Bayesian updating approach
by enhancing an active learning
Gaussian process regression model
J. Song and W. Zhang |
9 |
| 2.6 |
Topology optimization of acoustic-structural systems based on deep transfer learning framework for enhancing sound quality
L. Xu, W.S. Zhang and X. Guo |
11 |
| 3 | Modelling Cementitious Composites Behaviour Aided with Machine Learning, organised by
Dr S. Czarnecki, Prof. L. Sadowski and S. Malazdrewicz |
|
| 3.1 |
Eco-friendly mortars with granite powder
and fly ash and their prediction
with artificial neural networks
S. Malazdrewicz and L. Sadowski |
9 |
| 3.2 |
A Comparison of Neural Networks and
Random Forest for predicting the subsurface
tensile strength of cementitious composites
containing waste materials
S. Czarnecki and M. Moj |
9 |
| 4 | Scientific Machine Learning (PINNs), organised by Prof. T. Rabczuk, Dr. C. Anitescu and Prof. F. Magoules |
|
| 4.1 |
Domain decomposition deep energy method
for phase field analysis in brittle fracture
A. Chakraborty, C. Anitescu, S. Goswami, X. Zhuang and T. Rabczuk |
10 |
| 4.2 |
Physics-Informed Graph Convolutional
Networks: Towards a generalized framework
for complex geometries
M. Chenaud, F. Magoules and J. Alves |
0 |
| 4.3 |
Deep Learning Approach to Predict Acoustic Field in Transcranial Focused Ultrasound
M. Jang, M. Choi, I. Jeong, S.S Yoo, K. Yoon and G. Noh |
7 |
| 5 | Advanced lightweight structural design, organised by
Prof. W. Zhang,
Assoc. Prof. L. Meng,
Assoc. Prof. M. Bruggi, and
Assoc. Prof. M. Langelaar |
|
| 5.1 |
Shedding light on the impact-resisting mechanism
of tension-torsion coupling metamaterials
L. Meng and M. Zhong |
11 |
| 5.2 |
Form-finding of reticulated shells for
a given plan layout with geometric constraints
M. Bruggi, B. Toth and J. Logo |
8 |
| 5.3 |
Revisiting the Fibonacci spiral pattern
for stiffening rib design
L. Meng and J. Zhang |
10 |
| 5.4 |
The effect of non-locality (or size-dependency) on optimum topologies (or material layouts)
M. Tuna, P. Trovalusci and N. Fantuzzi |
10 |
