Webinars 2021 (9-)

Missed an event? Watch videos of past TOP Webinars on YouTube or Bilibili.

TOP Webinar 14
August 26, 2021, Thursday

Host: Josephine V Carstensen (Massachusetts Institute of Technology)

1 – Mingdong Zhou (Shanghai Jiao Tong University)
Yichang Liu, Mingdong Zhou, Chuang Wei & Zhongqin Lin. “Topology optimization of self-supporting infill structures”. Struct Multidisc Optim 63, 2289–2304 (2021). 

2 – Emily Sanders (Georgia Institute of Technology)
Sanders, E. D., Pereira, A., & Paulino, G. H. (2021). “Optimal and continuous multilattice embedding”. Science Advances, 7(16), eabf4838.

3 – Shangqin Yuan (Northwestern Polytechnical University)
Shaoying Li, Shangqin Yuan, Jihong Zhu, Weihong Zhang, Han Zhang & Jiang Li. “Multidisciplinary topology optimization incorporating process-structure-property-performance relationship of additive manufacturing”. Struct Multidisc Optim 63, 2141–2157 (2021).

4 – Jorge Barrera (University of Colorado at Boulder)
Barrera, Jorge L., Markus J. Geiss, and Kurt Maute. “Hole seeding in level set topology optimization via density fields”. Structural and Multidisciplinary Optimization 61.4 (2020): 1319-1343.

5 – Fengwen Wang (Technical University of Denmark)
Wang, Fengwen, and Ole Sigmund. “3D architected isotropic materials with tunable stiffness and buckling strength”. Journal of the Mechanics and Physics of Solids 152 (2021): 104415.

TOP Webinar 13
May 27, 2021, Thursday

Host: Bin Niu & Jun Yan (Dalian University of Technology)

1 – Gore Lukas Bluhm, Technical University of Denmark, Denmark
Gore Lukas Bluhm, Ole Sigmund, Konstantinos Poulios. Internal contact modeling for finite strain topology optimization, Computational Mechanics, 67, 1099–1114, 2021.

2 – Junji Kato, Nagoya University, Japan
T Nishino, J Kato. Robust topology optimization based on finite strain considering uncertain loading conditions. International Journal for Numerical Methods in Engineering, 122:1427–1455, 2021.

3 – X. Shelly Zhang, University of Illinois at Urbana Champaign, USA
Xiaojia Shelly Zhang, HengChi, Glaucio H.Paulino. Adaptive multi-material topology optimization with hyperelastic materials under large deformations: A virtual element approach, Computer Methods in Applied Mechanics and Engineering, 370: 112976, 2020

4 – Emiel van de Ven, Delft University of Technology, The Netherlands
van de Ven, E., Ayas, C., Langelaar, M., Maas, R., van Keulen, F. Accessibility of support structures in topology optimization for additive manufacturing,International Journal for Numerical Methods in Engineering, 122(8): 2038-2056,2021

5 – Zunyi Duan, Northwestern Polytechnical University, China
Zunyi Duan*, Yongsu Jung, Jun Yan, Ikjin Lee*. Reliability-based multi-scale design optimization of composite frames considering structural compliance and manufacturing constraints. Structural and Multidisciplinary Optimization, 61(2):2401-2421, 2020

TOP Webinar 12
April 29, 2021, Thursday

Host: Matthijs Langelaar (Delft University of Technology)

1 – Benedikt Kriegesmann
“Simultaneous topology and fastener layout optimization of assemblies considering joint failure”, Olaf Ambrozkiewicz and Benedikt Kriegesmann.
Based on International Journal for Numerical Methods in Engineering 122, no. 1 (2021): 294-319
Paper | Slides

2 – Hollis Smith
“Topology optimization with discrete geometric components made of composite materials”, Hollis Smith  and Julián A. Norato.
Based on Computer Methods in Applied Mechanics and Engineering 376 (2021): 113582
Paper | Slides

3 – Jaewook Lee
“Design of spatially-varying orthotropic infill structures using multiscale topology optimization and explicit de-homogenization”, Jaewook Lee, Chiyoung Kwon, Jeonghoon Yoo, Seungjae Min, Tsuyoshi Nomura, and Ercan M. Dede.
Based on Additive Manufacturing (2021): 101920
Paper | Slides

4 – Mathilde Boissier
“Concurrent shape optimization of the part and scanning path for additive manufacturing”, Mathilde Boissier, Grégoire Allaire, and Christophe Tournier.
Based on Paper (Preprint, 2021) | Slides

5 – Shutian Liu
“Additive manufacturing oriented topology optimization of structures with self-supported enclosed voids”, Luo, Yunfeng, Ole Sigmund, Quhao Li, and Shutian Liu.
Based on Computer Methods in Applied Mechanics and Engineering 372 (2020): 113385.

TOP Webinar 11
March 25, 2021, Thursday

Host: Emilio Carlos Nelli Silva (University of São Paulo, Brazil)

1 – Antonio Andre Novotny (National Laboratory for Scientific Computing, Petrópolis, Brazil)
A.A.S. Amad, A.A. Novotny & B.B. Guzina. “On the full-waveform inversion of seismic moment tensors”, International Journal of Solids and Structures, 202(1):717-728, 2020
Paper | Slides

2 – Liang Xia (Huazhong University of Science and Technology, China)
Zhen Liu, Liang Xia, Qi Xia, Tielin Shi, “Data-driven design approach to hierarchical hybrid structures with multiple lattice configurations”, Structural and Multidisciplinary Optimization 61: 2227-2235, 2020
Paper | Slides

3 – José Carlos Bellido Guerrero (University of Castilla–La Mancha, Spain)
R. Ortigosa, J. Martinez-Frutos, D. Ruiz, A. Donoso, J.C. Bellido, “Density-based Topology Optimisation considering nonlinear electromechanics”, Structural and Multidisciplinary Optimization (2021) – accepted

4- Peter D Dunning (University of Aberdeen, UK)
Fabian Wein, Peter D Dunning, Julian Norato – “A review on feature-mapping methods for structural optimization”, Structural and Multidisciplinary Optimization, 62, 1597–1638 (2020)
Paper | Slides

5 – Daniel Milbrath De Leon (Federal University of Rio Grande do Sul, Brazil)
Daniel Milbrath De Leon, Juliano F. Gonçalves, Carlos E. de Souza, “Stress-based topology optimization of compliant mechanisms design using geometrical and material nonlinearities”, Structural and Multidisciplinary Optimization (2020) 62:231–248
Paper | Slides

TOP Webinar 10
Feb. 23, 2021, Tuesday

Joe Alexandersen, University of Southern Denmark

1 – Sicheng Sun
“3D topology optimization of heat sinks for liquid cooling”
Sicheng Sun, Piotr Liebersbach, Xiaoping Qian – University of Wisconsin-Madison
Applied Thermal Engineering (2020)
Paper | Slides

2 – Zheng Li
“Three-dimensional topology optimization of thermal-fluid-structural problems for cooling system design”
Minghao Yu, Shilun Ruan, Junfeng Gu, Mengke Ren, Zheng Li, Xinyu Wang & Changyu Shen – Dalian University of Technology
Structural and Multidisciplinary Optimization (2020)
Paper | Slides

3 – Casper Schousboe Andreasen
“Topology optimization of two fluid heat exchangers”
Lukas Christian Høghøj, Daniel Ruberg Nørhave, Joe Alexandersen, Ole Sigmund, Casper Schousboe Andreasen – Technical University of Denmark
International Journal of Heat and Mass Transfer (2020)
Paper | Slides

4 – Florian Feppon
“Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers”
Florian Feppon, Grégoire Allaire, Charles Dapogny, Pierre Jolivet – École Polytechnique
Computer Methods in Applied Mechanics and Engineering (2021)
Paper | Slides

TOP Webinar 9
Jan. 26, 2021, Tuesday

Wei Chen (Northwestern University)
Shelly Zhang (University of Illinois at Urbana Champaign)

1 – Ying Zhou, Queensland University of Technology, Australia
A new data-driven topology optimization framework for structural optimization.
Ying Zhou, Haifei Zhan, Weihong Zhang*, Jihong Zhu, Jinshuai Bai, Qingxia Wang, Yuantong Gu*. Computers & Structures (2020), 239, 106310.
Paper | Slides

2 – Yongmin Liu, Northeastern University, USA
Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi-Supervised Learning Strategy.
W Ma, Feng Cheng, Yihao Xu, Qinlong Wen, and Yongmin Liu*.Advanced Materials (2019), 31 (39), 1901111.
Paper | Slides

3 – Glaucio Paulino, Georgia Institute of Technology, USA
Universal machine learning for topology optimization.
Heng Chi, Yuyu Zhang, Tsz Ling Elaine Tang, Lucia Mirabella, Livio Dalloro, Le Song, Glaucio H. Paulino*. Computer Methods in Applied Mechanics and Engineering (2021), to appear.

4 – Stefano Zapperi, University of Milan, Italy
Automatic design of mechanical metamaterial actuators.
Bonfanti, Silvia, Roberto Guerra, Francesc Font Clos, Daniel Rayneau-Kirkhope, and Stefano Zapperi*. Nature Communications (2020), 11, 4162.
Paper | Slides

5 – Liwei Wang, Northwestern University, USA
Deep generative modeling for mechanistic-based learning and design of metamaterial systems.
Liwei Wang, Yu-Chin Chan, Faez Ahmed, Zhao Liu, Ping Zhu, Wei Chen*. Computer Methods in Applied Mechanics and Engineering(2020), 372, 113377.
Paper | Slides

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