Robust topology optimization of structures under uncertain propagation of imprecise stochastic-based uncertain field

Robust topology optimization of structures under uncertain propagation of imprecise stochastic-based uncertain field

This study introduces a novel computational framework for Robust Topology Optimization (RTO) considering imprecise random field parameters. Unlike the worst-case approach, the present method provides upper and lower bounds for the mean and standard deviation of compliance as well as the optimized to...

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Bibliographic Details
Main Authors: Chu, S. (Author), Do, D.M (Author), Featherston, C.A (Author), Gao, K. (Author), Kim, H.A (Author), Wu, G. (Author)
Format: Article
Language:English
Published: Elsevier Ltd 2022
Subjects:
Combinatorial approach
Computational framework
Field parameters
Intelligent systems
Iterative methods
Mean and standard deviations
Monte Carlo methods
Orthogonal functions
Particle swarm optimization
Particle swarm optimization (PSO)
Quasi-monte-carlo simulation
Quasi-Monte-Carlo simulation
Random field
Random fields
Regulatory compliance
Robust topology optimization
Sensitivity analysis
Shape optimization
Stochastic systems
Stochastics
Structural optimization
Topology
Topology optimisation
Upper and lower bounds
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