Extension of optimum safety factor method to nonlinear reliability-based design optimization |
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Authors: | G Kharmanda N Olhoff |
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Affiliation: | (1) Department of Production, Faculty of Mechanical Engineering, Aleppo University, Aleppo, Syrian Arab Republic;(2) Institute of Mechanical Engineering, Aalborg University, Alborg, Denmark |
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Abstract: | In the reliability-based design optimization (RBDO) model, the mean values of uncertain system variables are usually applied
as design variables, and the cost is optimized subject to prescribed probabilistic constraints as defined by a nonlinear mathematical
programming problem. Therefore, a RBDO solution that reduces the structural weight in uncritical regions does not only provide
an improved design but also a higher level of confidence in the design. In this paper, we present recent developments for
the RBDO model relative to two points of view: reliability and optimization. Next, we develop several distributions for the
hybrid method and the optimum safety factor methods (linear and nonlinear RBDO). Finally, we demonstrate the efficiency of
our safety factor approach extended to nonlinear RBDO with application to a tri-material structure. |
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Keywords: | Reliability-based design optimization Optimum safety factors Reliability analysis |
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