Non-probabilistic reliability-based topology optimization of geometrically nonlinear structures using convex models

This paper describes a non-probabilistic reliability-based topology optimization method for the design of continuum structures undergoing large deformations. The variation of the structural system is treated with the multi-ellipsoid convex model, which is a realistic description of the parameters be...

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Vydané v:	Computer methods in applied mechanics and engineering Ročník 198; číslo 41; s. 3228 - 3238
Hlavní autori:	Kang, Zhan, Luo, Yangjun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Kidlington Elsevier B.V 01.09.2009 Elsevier
Predmet:	Computational techniques Convex model Exact sciences and technology Fracture mechanics (crack, fatigue, damage...) Fundamental areas of phenomenology (including applications) Geometrical nonlinearity Mathematical methods in physics Non-probabilistic reliability Physics Solid mechanics Static elasticity (thermoelasticity...) Structural and continuum mechanics Topology optimization Uncertainty Topology optimization Uncertainty Convex model Geometrical nonlinearity Non-probabilistic reliability High strain Displacement(deformation) Modeling Optimal design Uncertain system Gradient method Geometrical shape Sensitivity analysis Probabilistic approach Rupture Minimization Adjoint method Large displacement Topology Constrained optimization Stochastic programming Design process Structure modification Reliability Ellipsoid Convex analysis Structural analysis
ISSN:	0045-7825, 1879-2138
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