The worst response of mistuned bladed disk system using neural network and genetic algorithm

DOI10.1007/S11012-012-9607-5zbMath1293.74350OpenAlexW2083720332MaRDI QIDQ399740

E. Raeisi, Saeed Ziaei-Rad

Publication date: 20 August 2014

Published in: Meccanica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11012-012-9607-5

zbMATH Keywords

neural networkgenetic algorithmbladed diskmistuned system

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Vibrations in dynamical problems in solid mechanics (74H45) Optimization of other properties in solid mechanics (74P10) Genetics and population dynamics (92D99)

Related Items (3)

Hybrid GR-SVM for prediction of surface roughness in abrasive water jet machining ⋮ A modified multi-gene genetic programming approach for modelling true stress of dynamic strain aging regime of austenitic stainless steel 304 ⋮ Nonlinear and linear phenomenon investigation of coupled vibration of a multi-disc rotor based on multi-mistuned blades length or multi-disordered staggle angle blades

Cites Work

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• Uncertainty treatment in forced response calculation of mistuned bladed disk
• Forward kinematics analysis of the 6-3 SPM by using neural networks
• Determination of wheel-rail contact points: comparison between classical and neural network based procedures
• Vibration-based damage detection in a uniform strength beam using genetic algorithm
• Mersenne twister

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