Application of a hybrid of particle swarm and genetic algorithm for structural damage detection

DOI10.1080/17415977.2010.500381zbMath1427.74149OpenAlexW2075017398MaRDI QIDQ3063846

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Publication date: 15 December 2010

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2010.500381

zbMATH Keywords

time domainplatessubstructuredamage detection

Mathematics Subject Classification ID

Plates (74K20) Finite element methods applied to problems in solid mechanics (74S05) Brittle damage (74R05) Numerical and other methods in solid mechanics (74S99)

Related Items (6)

Identification of structural parameters including crack using one dimensional PZT patch model ⋮ Model-based identification of damage from sparse sensor measurements using Neumann series expansion ⋮ Identification of multiple cracks in a beam by natural frequencies ⋮ Damage assessment in plate-like structures using a two-stage method based on modal strain energy change and Jaya algorithm ⋮ A hybrid assimilation scheme for characterization of three-phase flow in porous media ⋮ Structural damage detection using improved particle swarm optimization

Cites Work

• An improved particle swarm optimization algorithm
• Anisotropic damage mechanics based on strain energy equivalence and equivalent elliptical microcracks
• Parameter estimation for chaotic systems by particle swarm optimization
• PARAMETRIC IDENTIFICATION OF NONLINEAR DYNAMIC SYSTEMS USING COMBINED LEVENBERG–MARQUARDT AND GENETIC ALGORITHM
• Model reduction using dynamic and iterated IRS techniques

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