A comprehensive review of educational articles on structural and multidisciplinary optimization
Ever since the publication of the 99-line topology optimization MATLAB code (top99) by
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
Sigmund in 2001, educational articles have emerged as a popular category of contributions …
Auto: a framework for automatic differentiation in topology optimization
A critical step in topology optimization (TO) is finding sensitivities. Manual derivation and
implementation of sensitivities can be quite laborious and error-prone, especially for non …
implementation of sensitivities can be quite laborious and error-prone, especially for non …
Nonlinear shape optimization of flexible mechanical metamaterials
Shape optimization is used to design flexible mechanical metamaterials. We employ the
higher-order moving-mesh method to arbitrarily parameterize the geometries and tune their …
higher-order moving-mesh method to arbitrarily parameterize the geometries and tune their …
Improved discrete boundary type shape gradients for PDE-constrained shape optimization
We propose in this paper two kinds of continuity preserving discrete shape gradients of
boundary type for PDE-constrained shape optimizations. First, a modified boundary shape …
boundary type for PDE-constrained shape optimizations. First, a modified boundary shape …
Navigating the landscape of nonlinear mechanical metamaterials for advanced programmability
We consider a flexible mechanical metamaterial comprising an elastomeric matrix with an
embedded square array of circular holes. First, we use the deflated continuation technique …
embedded square array of circular holes. First, we use the deflated continuation technique …
AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization
PDE-constrained shape optimization has been playing an important role in a large variety of
engineering applications. Traditional mesh-dependent shape optimization methods often …
engineering applications. Traditional mesh-dependent shape optimization methods often …
A programmable environment for shape optimization and shapeshifting problems
C Joshi, D Hellstein, C Wennerholm… - Nature Computational …, 2024 - nature.com
Soft materials underpin many domains of science and engineering, including soft robotics,
structured fluids, and biological and particulate media. In response to applied mechanical …
structured fluids, and biological and particulate media. In response to applied mechanical …
Autofreefem: automatic code generation with FreeFEM and LaTex output for shape and topology optimization of non-linear multi-physics problems
For an educational purpose, we develop the Python package AutoFreeFEM which
generates all ingredients for shape optimization with non-linear multi-physics in FreeFEM …
generates all ingredients for shape optimization with non-linear multi-physics in FreeFEM …
[HTML][HTML] Cashocs: a computational, adjoint-based shape optimization and optimal control software
S Blauth - SoftwareX, 2021 - Elsevier
The solution of optimization problems constrained by partial differential equations (PDEs)
plays an important role in many areas of science and industry. In this work we present …
plays an important role in many areas of science and industry. In this work we present …
Control of bifurcation structures using shape optimization
Many problems in engineering can be understood as controlling the bifurcation structure of a
given device. For example, one may wish to delay the onset of instability or bring forward a …
given device. For example, one may wish to delay the onset of instability or bring forward a …