TOP Webinar 32: Truss optimization. Sep. 26, 2024, CEST 16:00-17:00

We are pleased to announce the program of the 32nd TOP Webinar, a thematic session on “Truss Optimization”. It is scheduled for the 26th of September 2024, 16:00-17:00 CEST (UTC+2) Time zone converter.
Please register at this link. This event will also be live-streamed on YouTube with this permanent link.

Host: Helen Fairclough (University of Sheffield, United Kingdom)

1 – Helen Fairclough (University of Sheffield, United Kingdom)
Helen E. Fairclough, “Adaptive member adding for truss topology optimization: application to elastic design.” Structural and Multidisciplinary Optimization 67, no. 7 (2024): 121.
https://doi.org/10.1007/s00158-024-03830-x

2 –  Jonas Warmuth (EPFL, Switzerland)
Jonas Warmuth, Pierluigi D’Acunto, and Corentin Fivet. “Computational conceptual design–typological exploration of spatial truss systems through optimization.” Journal of the International Association for Shell and Spatial Structures 64, no. 4 (2023): 289-297.
https://doi.org/10.20898/j.iass.2023.026

3 – Enrico Stragiotti (ONERA, France)
Enrico Stragiotti, François-Xavier Irisarri, Cédric Julien, and Joseph Morlier. “Efficient 3D truss topology optimization for aeronautical structures.” Structural and Multidisciplinary Optimization 67, no. 3 (2024): 42.
https://doi.org/10.1007/s00158-024-03739-5

TOP Webinar 31: Topology optimization of soft robots. May 23, 2024, CEST 11:00-12:00

We are pleased to announce the program of the 31st TOP Webinar, a thematic session on “Topology optimization of soft robots”. It is scheduled for the 23rd of May 2024, 11:00-12:00 CEST (UTC+2) Time zone converter.
(Please note the change to the common time.)

Following our new format, introduced in January, each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.

Please register at this link. This event will also be live-streamed on YouTube with this permanent link.

Host: Josh Pinskier (CSIRO Robotics, Australia)

1 – Josh Pinskier, CSIRO Robotics, Australia
Matheus S. Xavier, Charbel D. Tawk, Ali Zolfagharian, Joshua Pinskier, David Howard, Taylor Young, Jiewen Lai, Simon M. Harrison, Yuen K. Yong, Mahdi Bodaghi, and Andrew J. Fleming, “Soft pneumatic actuators: A review of design, fabrication, modeling, sensing, control and applications”. IEEE Access 10 (2022): 59442-59485.
https://doi.org/10.1109/ACCESS.2022.3179589

2 – Prabhat Kumar, IIT Hyderabad, India
Prabhat Kumar, “SoRoTop: a hitchhiker’s guide to topology optimization MATLAB code for design-dependent pneumatic-driven soft robots”, Optimization and Engineering (2023): 1-35.
https://doi.org/10.1007/s11081-023-09865-1

3 – Anna Dalklint, Lund University, Sweden
Anna Dalklint, Mathias Wallin, and Daniel Tortorelli, “Simultaneous shape and topology optimization of inflatable soft robots”. Computer Methods in Applied Mechanics and Engineering, 420 (2024), 116751.
https://doi.org/10.1016/j.cma.2024.116751

TOP Webinar 30: Multiscale Topology Optimization. April 23, 2024, CEST 16:00-17:00

We are pleased to announce the program of the 30th TOP Webinar, a thematic session on “Multiscale Topology Optimization”. It is scheduled for the 23rd of April 2024, 16:00-17:00 CEST (UTC+2) Time zone converter.
(As we switch to summer time in Europe since the end of March, the time difference to your local time zone might be different now.)

Following our new format, introduced in January, each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.

Please register at this link. This event will also be live-streamed on YouTube with this permanent link.

Host: Jun Wu (TU Delft, Netherlands)

1 – Jun Wu, TU Delft, Netherlands
Jun Wu, Ole Sigmund, and Jeroen P. Groen. “Topology optimization of multi-scale structures: a review.” 
Structural and Multidisciplinary Optimization 63 (2021): 1455-1480.
https://doi.org/10.1007/s00158-021-02881-8

2 – Rebekka V. Woldseth, DTU Denmark
Rebekka V. Woldseth, J. Andreas Bærentzen, and Ole Sigmund. “Phasor noise for dehomogenisation in 2D multiscale topology optimisation.” Computer Methods in Applied Mechanics and Engineering 418 (2024): 116551.
https://doi.org/10.1016/j.cma.2023.116551

3 – Xiaojia Shelly Zhang, University of Illinois at Urbana Champaign, US
Yingqi Jia, Ke Liu, and Xiaojia Shelly Zhang. “Topology optimization of irregular multiscale structures with tunable responses using a virtual growth rule.” Computer Methods in Applied Mechanics and Engineering 425 (2024): 116864.
https://doi.org/10.1016/j.cma.2024.116864

TOP Webinar 29: Data-Driven Multiscale Design. March 26, 2024, CET 16:00-17:00

We are pleased to announce the program of the 29th TOP Webinar, a thematic session on “Data-Driven Multiscale Design”. It is scheduled for the 26th of March 2024, 16:00-17:00 CET (UTC+1) Time zone converter.

Following our new format, introduced in January, each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.

Please register at this link. This event will also be live-streamed on YouTube with this permanent link.

Host: Dr. Wei Chen (Northwestern University, USA)

1 – Dr. Wei Chen, Wilson-Cook Professor in Engineering Design, Department of Mechanical Engineering, Northwestern University, USA
Doksoo Lee, Wei Chen, Liwei Wang, Yu‐Chin Chan, and Wei Chen. “Data‐Driven Design for Metamaterials and Multiscale Systems: A Review.” Advanced Materials (2023): 2305254.
https://doi.org/10.1002/adma.202305254

2 – Dr. Dennis M. Kochmann, Professor, Department of Mechanical and Process Engineering, ETH Zurich, Switzerland
Jan-Hendrik Bastek, and Dennis M. Kochmann, “Inverse Design of Nonlinear Mechanical Metamaterials via Video Denoising Diffusion Models.” Nature Machine Intelligence 5, 1466–1475 (2023).
https://doi.org/10.1038/s42256-023-00762-x

3 – Dr. Mohammad J. Mirzaali, Assistant Professor, Department of Biomechanical Engineering, Delft University of Technology (TU Delft), Netherlands
Helda Pahlavani, Kostas Tsifoutis‐Kazolis, Mauricio C. Saldivar, Prerak Mody, Jie Zhou, Mohammad J. Mirzaali, and Amir A. Zadpoor. “Deep Learning for Size‐Agnostic Inverse Design of Random‐Network 3D Printed Mechanical Metamaterials.” Advanced Materials 36, no. 6 (2024): 2303481
https://doi.org/10.1002/adma.202303481

TOP Webinar 28: Topology optimization for additive manufacturing. Feb. 27, 2024, CET 16:00-17:00

We are pleased to announce the program of the 28th TOP Webinar, a thematic session on “Topology optimization for additive manufacturing”. It is scheduled for the 27th of February 2024, 16:00-17:00 pm CET (UTC+1) Time zone converter.

Following our new format, introduced in January, each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.

Please register at this link. This event will also be live-streamed on YouTube with this permanent link.

Host: Matthijs Langelaar (TU Delft) and Can Ayas (TU Delft)

1 – Mohamad Bayat (DTU), Matthijs Langelaar (TU Delft) and Can Ayas (TU Delft)
Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modelling
Mohamad Bayat, Olga Zinovieva, Federico Ferrari, Can Ayas, Matthijs Langelaar, Jon Spangenberg, Roozbeh Salajeghe, Konstantinos Poulios, Sankhya Mohanty, Ole Sigmund, Jesper Hattel
Progress in Materials Science, 2023
https://doi.org/10.1016/j.pmatsci.2023.101129

2 – Peter Dørffler Ladegaard Jensen (DTU)
Efficient inverse-designed structural infill for complex engineering structures
Peter Dørffler Ladegaard Jensen, Tim Felle Olsen, J. Andreas Bærentzen, Niels Aage, Ole Sigmund
Thin-Walled Structures, 2024
https://doi.org/10.1016/j.tws.2023.111427

3 – Joseph R. Kubalak (Virginia Tech, USA)
Improving mechanical performance in material extrusion parts via optimized toolpath planning
Joseph R. Kubalak, Nathaniel J. Root, Alfred L. Wicks, Christopher B. Williams
Additive Manufacturing, 2024
https://doi.org/10.1016/j.addma.2023.103950

TOP Webinar 27: Fluid topology optimization. Jan. 30, 2024, CET 16:00-17:00

To kick off the new year, we’re introducing a fresh series of TOP Webinars featuring a modified format. Each webinar will revolve around a specific theme, comprising an educational/review paper (20 minutes) and two latest articles (10 minutes x 2) related to the same topic. The entire session will last for 1 hour.

The January session is centered around Fluid topology optimization, scheduled for 30th Jan. 2024, 16:00-17:00 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: Joe Alexandersen (University of Southern Denmark, Denmark)

1 – Joe Alexandersen (University of Southern Denmark, Denmark)
A detailed introduction to density-based topology optimisation of fluid flow problems with implementation in MATLAB
Joe Alexandersen
Structural and Multidisciplinary Optimization, 2022
https://doi.org/10.1007/s00158-022-03420-9

2 – Maarten Theulings (TU Delft, The Netherlands)
Towards improved porous models for solid/fluid topology optimization
Maarten J. B. Theulings, Matthijs Langelaar, Fred van Keulen & Robert Maas
Structural and Multidisciplinary Optimization, 2023
https://doi.org/10.1007/s00158-023-03570-4

3 – Elie Hachem (PSL University, France)
Large-scale parallel topology optimization of three-dimensional incompressible fluid flows in a level set, anisotropic mesh adaptation framework
W. Abdel Nour, A. Larcher, D. Serret, P. Meliga, E. Hachem
Computer Methods in Applied Mechanics and Engineering, 2023
https://doi.org/10.1016/j.cma.2023.116335

TOP Webinar 26: Multiphysics topology optimization. March 23, 2023, CET 16:00-17:30

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

TOP Webinar 25, February 21, 2023, CET 16:00-17:30

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

TOP Webinar 24, January 26, 2023, CET 16:00-17:30

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

TOP Webinar 23, December 20, 2022, CET 16:00-17:30

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