Evolutionary topology optimization of continuum structures under uncertainty using sensitivity analysis and smooth boundary representation
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Grupo de investigación MC3Área de conocimiento
Mecánica de Medios Continuos y Teoría de EstructurasPatrocinadores
The authors would like to thank Dr. Francisco Periago for constructive suggestions and discussions. This work has been partially supported by the AEI/FEDER and UE under the contract DPI2016-77538-R and by the “Fundación Séneca-Agencia de Ciencia y Tecnología de la Región de Murcia” under the contract 19274/PI/14.Fecha de publicación
2018-05Editorial
Pergamon PressCita bibliográfica
MARTÍNEZ FRUTOS, Jesús y HERRERO PÉREZ, David. Evolutionary topology optimization of continuum structures under uncertainty using sensitivity analysis and smooth boundary representation. En: Computers & Structures, vol. 205, p. 15-27, 2018. ISSN: 0045-7949Palabras clave
Evolutionary topology optimizationRobust design
Random fields
Isolines
Optimality criteria
Resumen
This paper presents an evolutionary approach for the Robust Topology Optimization (RTO) of continuum structures under loading and material uncertainties. The method is based on an optimality criterion obtained from the stochastic linear elasticity problem in its weak form. The smooth structural topology is determined implicitly by an iso-value of the optimality criterion field. This iso-value is updated using an iterative approach to reach the solution of the RTO problem. The proposal permits to model the uncertainty using random variables with different probability distributions as well as random fields. The computational burden, due to the high dimension of the random field approximation, is efficiently addressed using anisotropic sparse grid stochastic collocation methods. The numerical results show the ability of the proposal to provide smooth and clearly defined structural boundaries. Such results also show that the method provides structural designs satisfying a trade-off between ...
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