We are pleased to announce the program of the 26th TOP Webinar, a thematic session on “Multiphysics topology optimization”. It is scheduled for the 23rd March 2023, 16:00-17:30 pm CET (UTC+1) Time zone converter.

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Hosts: G. Allaire, S. Amstutz, B. Bogosel (Ecole Polytechnique, France)

Speakers

1 – H Alicia Kim, Andreas Neofytou (UC San Diego)
Title: Level Set Topology Optimization for Fluid-Structure Interaction

Abstract: In this work we introduce a level set topology optimization methodology for solving fluid-structure interaction (FSI) problems. The design dependency of the problem is handled through a particle method which employs the implicit representation of the level set boundary.  For the solution of the FSI problem the modified immersed finite element method (mIFEM) is used, which decouples the fluid and solid domains enabling modularity in the solvers. This allows for the combination of a background grid for the fluid and the reproducing kernel particle method (RKPM) for the solid, to solve the FSI problem efficiently and without remeshing. Benchmarking FSI examples are solved and compared with the literature.

Papers:
– Neofytou A., Huang T-H., Kambampati S., Picelli R., Chen J-S and Kim H. A. (2021), Level set topology optimization with nodally integrated reproducing kernel particle method, Computer Methods in Applied Mechanics and Engineering, Volume 385, 1 November 2021, 114016.
https://doi.org/10.1016/j.cma.2021.114016
– Neofytou A., Yu F., Chu S., Zhang L. T., Kim H. A. (2023), Level Set Topology Optimization for Fluid-Structure Interactions, Structural and Multidisciplinary Optimization, submitted

2 – Augusto Romero, Sebastian Giusti (UTN Argentina)
Title: Optimum design of electro-thermo-mechanical devices via topological derivatives

Abstract: This work focuses on the design of flexible actuators governed by multiphysics phenomena. The objective is to obtain optimal designs of electro-thermo-mechanical actuators forced by Joule heating. The design of these devices is carried out by a topology optimization algorithm based on topological derivatives and the level-set method. Theoretical framework and applicative examples are presented.

3 – Peter Gangl (RICAM Linz)
Title: Multi-material topology optimization of electric machines

Abstract: We are interested in the design optimization of the rotor of an electric machine which consists of ferromagnetic material, air regions and permanent magnets. Each magnet is magnetized in a given direction and we treat them as different materials. We present results obtained by a vector-valued level set method for multi-material topology optimization which is based on topological derivatives. This is joint work with Nepomuk Krenn (RICAM, Linz).

Papers:
– P. Gangl. (2020), A multi-material topology optimization algorithm based on the topological derivative, Computer Methods in Applied Mechanics and Engineering, Volume 366, 1 July 2020, 113090. https://doi.org/10.1016/j.cma.2020.113090
– P. Gangl, K. Sturm (2022), Automated computation of topological derivatives with application to nonlinear elasticity and reaction–diffusion problems, Computer Methods in Applied Mechanics and Engineering, Volume 398, 1 August 2022, 115288.
https://doi.org/10.1016/j.cma.2022.115288

4 – Florian Feppon (KU Leuven)
Title: Parallel body-fitted three-dimensional topology optimization of multiphysics systems.

Abstract: We demonstrate the effectiveness of the boundary variation method of Hadamard for three-dimensional topology optimization of weakly-coupled fluid thermal mechanical systems. Our numerical methodology relies on the use of body-fitted meshes generated with the open-source library MMg, on a level-set based mesh evolution method, on analytical expressions of shape derivatives, and on the null space algorithm for nonlinear constrained optimization. It is numerically applied to a variety of 3-d topology optimization of systems, such as lift-drag aerodynamic design, fluid-structure interaction and convective heat transfer. All our examples involve moderately large scale finite element computations which are achieved in parallel by using domain decomposition techniques in FreeFEM and PETSc.

Paper:
F. Feppon, G. Allaire, C. Dapogny, P. Jolivet (2021), Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers, Computer Methods in Applied Mechanics and Engineering, Volume 376, 1 April 2021, 113638.
https://doi.org/10.1016/j.cma.2020.113638

We are pleased to announce the program of the 25th TOP Webinar, which is scheduled for the 21st February 2023, 16:00-17:30 pm CET (UTC+1) Time zone converter.

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Peter Dunning (University of Aberdeen, UK)

1. Mingdong Zhou (Shanghai Jiao Tong University, China)
Concurrent topology optimization of multi-scale cooling channels with inlets and outlets
Da Geng, Chuang Wei, Yichang Liu and Mingdong Zhou. Structural and Multidisciplinary Optimization, 65.8 (2022): 234.
https://doi.org/10.1007/s00158-022-03336-4

2. Mehdi Tavakkoli (Shahrood University of Technology, Iran)
A parameter space approach for isogeometrical level set topology optimization.
Masoud Aminzadeh and Seyed Mehdi Tavakkoli. International Journal for Numerical Methods in Engineering, 123.15 (2022): 3485-3506.
https://doi.org/10.1002/nme.6976

3. Rafael Palacios (Imperial College London, UK)
Aerostructural topology optimization using high fidelity modeling
Pedro Gomes and Rafael Palacios. Structural and Multidisciplinary Optimization, 65.5 (2022): 1-14.
https://doi.org/10.1007/s00158-022-03234-9

4. Bret Stanford (NASA Langley, USA)
Shape, sizing, and topology design of a wingbox under aeroelastic constraints
Bret Stanford. Journal of Aircraft, 58.6 (2021): 1406-1415.
https://doi.org/10.2514/1.C036315

5. Julián A. Norato (University of Connecticut, USA)
A maximum-rectifier-function approach to stress-constrained topology optimization
Julián Norato, Hollis Smith, Joshua Deaton and Raymond Kolonay. Structural and Multidisciplinary Optimization, 65.10 (2022), 286.
https://doi.org/10.1007/s00158-022-03357-z

We are pleased to announce the program of the 24th TOP Webinar, which is scheduled for the 26th January 2023, 16:00-17:30 pm CET (UTC+1) Time zone converter.

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Kurt Maute (University of Colorado Boulder)

1. Chang Liu (Dalian University of Technology, China)
Xudong Jiang, Wendong Huo, Chang Liu, Zongliang Du, Xiaoyu Zhang, Xiao Li, Xu Guo, Explicit layout optimization of complex rib‐reinforced thin‐walled structures via computational conformal mapping (CCM), Computer Methods in Applied Mechanics and Engineering Volume 404, 115745 (2023)
https://doi.org/10.1016/j.cma.2022.115745

2. Nikolaos Galanos (National Technical University of Athens, Greece)
Nikolaos Galanos, Evangelos M. Papoutsis‐Kiachagias, Kyriakos C. Giannakoglou, Yoshiyuki Kondo & Koichi Tanimoto, Synergistic use of adjoint‐based topology and shape optimization for the design of Bi‐ fluid heat exchangers, Structural and Multidisciplinary Optimization volume 65, Article number: 245 (2022)
https://doi.org/10.1007/s00158-022-03330-w

3. Harrison Nobis (KTH Royal Institute of Technology, Sweden)
Harrison Nobis, Philipp Schlatter, Eddie Wadbro, MartinBerggren, Dan S.Henningson, Modal laminar–turbulent transition delay by means of topology optimization of superhydrophobic surfaces, Computer Methods in Applied Mechanics and Engineering, Volume 403, Part A, 115721 (2023)
https://doi.org/10.1016/j.cma.2022.115721

4. Brice Rogié (Technical University of Denmark, Denmark)
Brice Rogié, Casper Schousboe Andreasen, Design complexity tradeoffs in topology optimization of forced convection laminar flow heat sinks, Structural and Multidisciplinary Optimization volume 66, Article number: 6 (2023)
https://doi.org/10.1007/s00158-022-03449-w

5. Joe Alexandersen (University of Southern Denmark, Denmark)
Joe Alexandersen, A detailed introduction to density‐based topology optimisation of fluid flow problems with implementation in MATLAB, Structural and Multidisciplinary Optimization volume 66, Article number: 12 (2023)
https://doi.org/10.1007/s00158-022-03420-9

6. David‐Henri Garnier (Ecole Polytechnique, France)
David‐Henri Garnier, Martin‐Pierre Schmidt & Damien Rohmer , Growth of oriented orthotropic structures with reaction/diffusion, Structural and Multidisciplinary Optimization volume 65, Article number: 327 (2022)
https://doi.org/10.1007/s00158-022-03395-7

We are pleased to announce the program of the 23rd TOP Webinar, which is scheduled for the 20th December 2022, 16:00-17:30 pm CET (UTC+1) Time zone converter.

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Gilho Yoon (Hanyang University, South Korean)

1. Alberto Donoso (Universidad de Castilla-La Mancha, Spain)
A. Donoso, E. Aranda, D. Ruiz, A new approach based on spectral graph theory to avoiding enclosed holes in topology optimization, Computer Methods in Applied Mechanics and Engineering, Volume 393, 2022.
https://doi.org/10.1016/j.cma.2022.114769

2. Renato Picelli Sanches (University of São Paulo, Brazil)
Picelli, R., Moscatelli, E., Yamabe, P.V.M. et al., Topology optimization of turbulent fluid flow via the TOBS method and a geometry trimming procedure. Struct Multidisc Optim 65, 34, 2022.
https://doi.org/10.1007/s00158-021-03118-4

3. Stijn Koppen (TU Delft, The Netherlands)
S. Koppen, M. Langelaar, F. van Keulen, Efficient multi-partition topology optimization, Computer Methods in Applied Mechanics and Engineering, Volume 393,2022.
https://doi.org/10.1016/j.cma.2022.114829

4. Hao Li (Kyoto University, Japan)
Li, H, Kondoh, T, Jolivet, P, et al. Optimum design and thermal modeling for 2D and 3D natural convection problems incorporating level set-based topology optimization with body-fitted mesh. Int J Numer Methods Eng. 2022; 123( 9): 1954– 1990.
https://doi.org/10.1002/nme.6923

5. Ikjin Lee (Korea Advanced Institute of Science and Technology, South Korea)
Mingyu Lee, Yongsu Jung, Jaehoon Choi, Ikjin Lee, A reanalysis-based multi-fidelity (RBMF) surrogate framework for efficient structural optimization, Computers & Structures, Volume 273, 2022.
https://doi.org/10.1016/j.compstruc.2022.106895

We are pleased to announce the program of the 22nd TOP Webinar, which is scheduled for 24th November 2022, 16:00-17:30 pm CET (UTC+1), i.e., 7:00-8:30 PST, 10:00-11:30 EST, 23:00-24:30 Beijing, 2:00-3:30 25th Nov. Sydney. (The time of this session might be different than previous ones in your local time as we enter into the winter time. Please check by entering your city at Time zone converter.)

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Michael Stingl and Fabian Wein (Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany)

1 – Weibai Li, Swinburne University of Technology, Australia.
Design of curvilinear variable-stiffness composites considering stiffness, strength and manufacturability.
Haoqing Ding, Bin Xu, Weibai Li and Xiaodong Huang. Structural and Multidisciplinary Optimization 65.9 (2022): 1-30.
https://doi.org/10.1007/s00158-022-03306-w

2 – Carl-Johan Thore, Linköping University, Sweden.
Topology optimization for minimum temperature with mass flow and stiffness constraints.
Carl-Johan Thore, Jonas Lundgren, Jan-Erik Lundgren and Anders Klarbring. Computer Methods in Applied Mechanics and Engineering 400 (2022): 115334.
https://doi.org/10.1016/j.cma.2022.115334

3 – Yakov Zelickman, Johns Hopkins University, USA.
Optimization of plate supports using a feature mapping approach with techniques to avoid local minima.
Yakov Zelickman and Oded Amir. Structural and Multidisciplinary Optimization 65.1 (2022): 1-16.
https://doi.org/10.1007/s00158-021-03135-3

4 – Anna Dalklint, Lund University, Sweden.
Structural stability and artificial buckling modes in topology optimization.
Anna Dalklint, Mathias Wallin and Daniel A. Tortorelli. Structural and Multidisciplinary Optimization 64.4 (2021): 1751-1763.
https://doi.org/10.1007/s00158-021-03012-z

5 – Subhayan De, Northern Arizona University, USA.
Reliability-based topology optimization using stochastic gradient.
Subhayan De, Kurt Maute and Alireza Doostan. Structural and Multidisciplinary Optimization 64.5 (2021): 3089-3108.
https://doi.org/10.1007/s00158-021-03023-w

We look forward to seeing you at the webinar!

We are pleased to announce the program of the 21st TOP Webinar, a thematic session on the “TO for architected materials and multiscale structures”. It is scheduled for 25th October 2022, 16:00-17:30 pm CEST (i.e.,9:00 am – 10:30 am CDT, 7:00-8:30 am PDT, 10:00-11:30 am EDT, 22:00-23:30 pm Beijing GMT+8). 

Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Shelly Zhang (University of Illinois at Urbana Champaign)

1 – Wei Chen, Northwestern University, USA.
Mechanical cloak via data-driven aperiodic metamaterial design.
Liwei Wang, Jagannadh Boddapati, Ke Liu, Ping Zhu, Chiara Daraio*, and Wei Chen*. Proceedings of the National Academy of Sciences 119, no. 13 (2022): e2122185119.
https://doi.org/10.1073/pnas.2122185119

2 – Mi Xiao, Huazhong University of Science and Technology, China.
Robustly printable freeform thermal metamaterials.
Wei Sha, Mi Xiao, Jinhao Zhang, Xuecheng Ren, Zhan Zhu, Yan Zhang, Guoqiang Xu, Huagen Li, Xiliang Liu, Xia Chen, Liang Gao*, Cheng-Wei Qiu* & Run Hu*. Nature Communications 12, no. 1 (2021): 1-8.
https://doi.org/10.1038/s41467-021-27543-7

3 – Fernando V. Senhora, Georgia Institute of Technology, USA.
Optimally-Tailored Spinodal Architected Materials for Multiscale Design and Manufacturing.
Fernando V. Senhora, Emily D. Sanders, and Glaucio H. Paulino*. Advanced Materials (2022): 2109304.
https://doi.org/10.1002/adma.202109304

4 – Eric Garner, Delft University of Technology, Netherlands.
Multi-objective design optimization of 3D micro-architected implants.
Eric Garner, Jun Wu*, and Amir A. Zadpoor. Computer Methods in Applied Mechanics and Engineering 396 (2022): 115102.
https://doi.org/10.1016/j.cma.2022.115102

5 – Ole Sigmund, Technical University of Denmark, Denmark.
Recent developments in multiscale TO and de-homogenization.

Dear colleagues,

With your support and active participation, the Topology Optimization Webinar, or TOP Webinar, has been running for almost two years. The latest webinar marked our 20^th session. The webinar series was intended as an alternative platform for knowledge exchange during the COVID pandemic. Now that the conferences are coming back, we think it is a moment to reflect on the past and to plan the next phase of the TOP Webinar. For this purpose, we have created an online questionnaire.

https://forms.office.com/r/QYZNK0k01G

We’d like to ask you to fill the questionnaire. It is anonymous, and shall take just a few minutes.

Your feedback is extremely valuable. Thank you in advance for your feedback.

Best regards,
Jun Wu, Matthijs Langelaar, Fred van Keulen, Niels Aage, Ole Sigmund
www.top-webinar.org

We’re pleased to announce the program of a special session: Future of Scientific and Engineering Computing in Research Community and Industry. It is scheduled for February 24^th, at CET 16:00 (7:00 Los Angeles, 10:00 New York, 16:00 Paris, 22:00 Beijing, 24:00 Sydney).

Zoom link (no registration required): https://dtudk.zoom.us/j/61728828736?pwd=dHNlVmRTZUR3Sm8rN0cvelIrNzRmZz09
YouTube link: https://www.youtube.com/channel/UCfknafkFQBuTOtHJH8I4qLQ/live

This special session is kindly organized by Prof. H. Alicia Kim and Dr. Jaeyub Hyun, from UC San Diego.

Program
1 Building Software Communities. Dr Daniel Katz (National Center for Supercomputing Applications)
2 Please Steal My Research: I’ll tell you anything you want to know. Dr Justin Gray (NASA Glenn)
3 Open-discussion on open-source/software/benchmarking in topology optimization

More information
1 Building Software Communities. Dr Daniel Katz (National Center for Supercomputing Applications)
Abstract: Research disciplines typically use software as one of their research methods, and develop (and ideally share) software during the research process. This talk will discuss efforts in different communities to improve the software used by those communities, which can include topics like sharing work on commonly used software, standardizing interfaces, raising the recognition of software developers. Such work has been occurring in multiple communities, and this talk will look at common elements across these communities, some of which could be applied to the topology optimization community.
Bio: Daniel S. Katz is Chief Scientist at the National Center for Supercomputing Applications (NCSA), and Research Associate Professor in Computer Science, Electrical and Computer Engineering, and the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign. His interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers. He is a founding editor and current Associate Editor-in-Chief of the Journal of Open Source Software, and co-founded the US Research Software Engineer Association (US-RSE) and the Research Software Alliance (ReSA).

2 Please Steal My Research: I’ll tell you anything you want to know. Dr Justin Gray (NASA Glenn)
Abstract: If you write software as part of our research then you may have considered releasing it as open source. It’s a good way to build collaborations and increase the impact of your work, but it also gives others the chance to see what your doing and  potentially beat you to the next innovation. In other words, someone might effectively steal your work! So open-source can sometimes be a bit of a double-edged sword. However, there are ways to make it work. It is possible to share your work as you develop it, have people adopt your code, and still get the credit you deserve. NASA’s OpenMDAO research does all our development out in the open, on a public repository. We’ve had other researchers collaborate on the work, and borrow from it, and criticize it. This talk covers the OpenMDAO open-source development philosophy and how it has been a key to the success of the project.
Bio: Justin Gray has worked at NASA Glenn for 18 years, serving as a systems analyst and design optimization expert. He has led the development of NASA’s OpenMDAO framework, an open-source optimization platform, since 2010. He’s actively contributed to 5 different open source engineering design codes, and generally makes a habit of doing his research out in the open for everyone to see.

We are pleased to announce the program of the 19th TOP Webinar. It is scheduled for 25th January, CET (UTC+1:00) 15:00-16:30. Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

Host: Junji Kato (Nagoya University, Japan)

1 – Shintaro Yamasaki (Osaka University, Japan)
Data-driven topology design using a deep generative model
Yamasaki, S., Yaji, K. & Fujita, K. Data-driven topology design using a deep generative model. Struct Multidisc Optim 64, 1401–1420 (2021).
https://doi.org/10.1007/s00158-021-02926-y

2 – Bin Niu (Dalian University of Technology, China)
Bin Niu, Eddie Wadbro, Multiscale design of coated structures with periodic uniform infill for vibration suppression, Computers & Structures, Volume 255, 2021, 106622,
https://doi.org/10.1016/j.compstruc.2021.106622

3 – Tobias Barbier (KU Leuven, Belgium)
Barbier, T, Shakour, E, Sigmund, O, Lombaert, G, Schevenels, M. Topology optimization of damage-resistant structures with a predefined load-bearing capacity. Int J Numer Methods Eng. 2021; 1- 32.
https://doi.org/10.1002/nme.6891

4 – Xiaoping Qian (University of Wisconsin-Madison, USA)
Xiaoping Qian, On-the-fly dual reduction for time-dependent topology optimization, Journal of Computational Physics, 2021, 110917,
https://doi.org/10.1016/j.jcp.2021.110917

5 – Emad Shakour (Johannes Kepler University, Austria) and Oded Amir (Technion, Israel)
Emad Shakour and Oded Amir, Stress constrained topology optimization with precise and explicit geometric boundaries, Struct. Multidisc. Opt. (2021) accepted

We are pleased to announce the program of the 18th TOP Webinar, a thematic session on “Topology Optimization for Wave Propagation Problems”. It is scheduled for 16th December, CET (UTC+1:00) 15:00-16:30*. Please register at this link. This event will also be livestreamed on YouTube with this permanent link.

*Please note this time in your time zone might be different from previous TOP Webinars. We have changed since November due to the transition from European daylight-saving time, and that we shift it by one hour to facilitate a large audience.

Host: Rasmus Ellebæk Christiansen (DTU Denmark)

1 – Eddie Wadbro (Karlstad University, Sweden)
Bokhari, A. H., Mousavi, A., Niu, B., & Wadbro, E. “Topology optimization of an acoustic diode?.” Structural and Multidisciplinary Optimization, 63(6), (2021): 2739-2749.
https://doi.org/10.1007/s00158-020-02832-9

2 – Yuki Noguchi (University of Tokyo, Japan)
Noguchi, Y., Yamada, T. “Topology optimization for acoustic structures considering viscous and thermal boundary layers using a sequential linearized Navier-Stokes model”, (2021), arXiv:2108.06116 [cs.CE]
https://arxiv.org/abs/2108.06116

3 – Wenjie Yao (Massachusetts Institute of Technology, USA)
Yao, W., Verdugo, F., Christiansen, R. E., Johnson, S. G. “Trace formulation for photonic inverse design with incoherent sources.”, (2021), arXiv:2111.13046 [physics.optics]
https://arxiv.org/abs/2111.13046

4 – Alec Hammond (Georgia Institute of Technology, USA)
Hammond, A. M., Oskooi, A., Johnson, S. G., & Ralph, S. E. “Photonic topology optimization with semiconductor-foundry design-rule constraints.” Optics Express, 29(15), (2021), 23916-23938.
https://doi.org/10.1364/OE.431188

5 – Oliver Giraldo-Londoño (University of Missouri, USA)
Giraldo-Londoño, O., Aguiló, M. A., Paulino, G. H. “Local stress constraints in topology optimization of structures subjected to arbitrary dynamic loads: a stress aggregation-free approach.”, Struct Multidisc Optim 64, (2021), 3287-3309.
https://doi.org/10.1007/s00158-021-02954-8
Giraldo-Londoño, O., Paulino, G. H. “PolyDyna: a Matlab implementation for topology optimization of structures subjected to dynamic loads”, Struct Multidisc Optim 64, (2021), 957-990.
https://doi.org/10.1007/s00158-021-02859-6