Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.strusafe.2010.03.007
Title: Discrete-continuous variable structural optimization of systems under stochastic loading
Authors: Jensen, H.A.
Beer, M. 
Keywords: Approximation concepts
Dual formulation
Non-linear systems
Reliability-based optimization
Sensitivity analysis
Issue Date: Sep-2010
Source: Jensen, H.A., Beer, M. (2010-09). Discrete-continuous variable structural optimization of systems under stochastic loading. Structural Safety 32 (5) : 293-304. ScholarBank@NUS Repository. https://doi.org/10.1016/j.strusafe.2010.03.007
Abstract: The paper deals with the optimization of structural systems involving discrete and continuous sizing type of design variables. In particular, the reliability-based optimization of non-linear systems subject to stochastic excitation where some or all of the design variables are discrete is considered. The reliability-based optimization problem is formulated as the minimization of an objective function subject to multiple reliability constraints. The probability that design conditions are satisfied within a given time interval is used as measure of system reliability. The basic mathematical programming statement of the structural optimization problem is converted into a sequence of explicit approximate primal problems of separable form. The explicit approximate primal problems are solved by constructing continuous explicit dual functions, which are maximized subject to simple non-negativity constraints on the dual variables. A gradient projection type of algorithm is used to find the solution of each dual problem. The effectiveness of the method is demonstrated by presenting a numerical example of a non-linear system subject to stochastic ground acceleration. © 2010 Elsevier Ltd.
Source Title: Structural Safety
URI: http://scholarbank.nus.edu.sg/handle/10635/50693
ISSN: 01674730
DOI: 10.1016/j.strusafe.2010.03.007
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