Advanced solution methods in topology optimization and shape sensitivity analysis

DOI10.1108/02644409610120696zbMath0983.74527OpenAlexW2078881852MaRDI QIDQ2721427

Yiannis Tsompanakis, Ernest Hinton, Johann Sienz, Manolis Papadrakakis

Publication date: 29 April 2002

Published in: Engineering Computations (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1108/02644409610120696

zbMATH Keywords

hybrid systemsoptimization techniques

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Topological methods for optimization problems in solid mechanics (74P15)

Related Items (16)

A new efficient convergence criterion for reducing computational expense in topology optimization: reducible design variable method ⋮ Structural topology design with multiple thermal criteria ⋮ Structural optimization using evolution strategies and neural networks ⋮ Evolutionary structural optimization for connection topology design of multi‐component systems ⋮ Enhancing structural topology optimization ⋮ Unnamed Item ⋮ Topology optimization with optimality criteria and transmissible loads ⋮ Review of options for structural design sensitivity analysis. I: Linear systems ⋮ On the solution of a minimum compliance topology optimisation problem by optimality criteria without a priori volume constraint specification ⋮ Large scale structural optimization: Computational methods and optimization algorithms. ⋮ A staggered approach to shape and topology optimization using the traction method and an evolutionary-type advancing front algorithm ⋮ Evolutionary structural optimisation (ESO) using a bidirectional algorithm ⋮ Computational efficiency and validation of bi-directional evolutionary structural optimisation ⋮ A local optimisation method for obtaining material model parameters ⋮ Reliability-based structural optimization using neural networks and Monte Carlo simulation ⋮ Advanced solution methods in structural optimization based on evolution strategies

Cites Work

• Generating optimal topologies in structural design using a homogenization method
• Accuracy and effectiveness of preconditioned conjugate gradient algorithms for large and ill-conditioned problems
• A new implementation of the Lanczos method in linear problems
• Fully stressed topological design of structures using an evolutionary procedure

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