An \(n\)-material thresholding method for improving Integerness of solutions in topology optimization
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Publication:6560631
DOI10.1002/nme.5265zbMATH Open1548.74609MaRDI QIDQ6560631
Seth E. Watts, Daniel A. Tortorelli
Publication date: 23 June 2024
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Applications of mathematical programming (90C90) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Topological methods for optimization problems in solid mechanics (74P15)
Cites Work
- Unnamed Item
- Manufacturing tolerant topology optimization
- Topology optimization with multiple phase projection
- Generating optimal topologies in structural design using a homogenization method
- A variational approach to the theory of the elastic behaviour of multiphase materials
- An investigation concerning optimal design of solid elastic plates
- Materials with prescribed constitutive parameters: An inverse homogenization problem
- ``Color level sets: A multi-phase method for structural topology optimization with multiple materials.
- A level set method for structural topology optimization.
- Nonlinear structural design using multiscale topology optimization. Part I: Static formulation
- On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
- Filters in topology optimization
- Inverse homogenization for evaluation of effective properties of a mixture
- A bi-value coding parameterization scheme for the discrete optimal orientation design of the composite laminate
- Achieving minimum length scale in topology optimization using nodal design variables and projection functions
- A Simplex Method for Function Minimization
- Topology optimization of nonlinear elastic structures and compliant mechanisms
- Shape optimization by the homogenization method
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