Topology optimization via sequential integer programming and canonical relaxation algorithm

DOI10.1016/j.cma.2018.10.050zbMath1440.74299OpenAlexW2911906467MaRDI QIDQ1987881

Yuan Liang, Geng-Dong Cheng

Publication date: 16 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2018.10.050

zbMATH Keywords

integer programmingtopology optimizationcanonical dual theory (CDT)canonical relaxation algorithminfill constraintssequential approximate programming (SAP)

Mathematics Subject Classification ID

Integer programming (90C10) Quadratic programming (90C20) Topological methods for optimization problems in solid mechanics (74P15) Numerical and other methods in solid mechanics (74S99)

Related Items (10)

An adaptive method of moving asymptotes for topology optimization based on the trust region ⋮ On non-penalization SEMDOT using discrete variable sensitivities ⋮ Efficient two-phase approach to reliability-based discrete variable topology optimization of continuum structures with multimodal distributions ⋮ Topology optimization via implicit neural representations ⋮ Multi-material structural discrete variable topology optimization with minimum length scale control under mass constraint ⋮ MFSE-based two-scale concurrent topology optimization with connectable multiple micro materials ⋮ On the design of multimaterial structural topologies using integer programming ⋮ Multi-objective topology optimization incorporating an adaptive weighed-sum method and a configuration-based clustering scheme ⋮ Design of optimized architected structures with exact size and connectivity via an enhanced multidomain topology optimization strategy ⋮ Explicit control of 2D and 3D structural complexity by discrete variable topology optimization method

Uses Software

• Matlab
• top.m
• top88.m

Cites Work

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