A random sampling approach to worst-case design of structures

DOI10.1007/S00158-011-0752-6zbMath1274.90390OpenAlexW2087445025MaRDI QIDQ381813

Masahiko Katsura, Makoto Ohsaki

Publication date: 15 November 2013

Published in: Structural and Multidisciplinary Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00158-011-0752-6

zbMATH Keywords

optimizationrandom samplinganti-optimizationbuilding frameworst-case design

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Nonlinear programming (90C30) Stochastic programming (90C15) Optimization problems in solid mechanics (74P99)

Uses Software

• LMOMENTS

Cites Work

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• A survey on approaches for reliability-based optimization
• Query size estimation by adaptive sampling
• A deterministic method to predict the effect of unknown-but-bounded elastic moduli on the buckling of composite structures
• A mixed integer programming for robust truss topology optimization with stress constraints
• Tabu Search—Part I
• Genetic algorithm for topology optimization of trusses
• Probability and Computing

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