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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Bibliographic Details
Published in:	Computer methods in applied mechanics and engineering Vol. 198; no. 41; pp. 3228 - 3238
Main Authors:	Kang, Zhan, Luo, Yangjun
Format:	Journal Article
Language:	English
Published:	Kidlington Elsevier B.V 01.09.2009 Elsevier
Subjects:	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
Online Access:	Get full text
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