Approximate reliability methods, known as FORM and SORM, are based on the availability of the so called design point(s). By definition they are points of the generalized performance function at minimum distance from the origin, in a suitable dimensionless space. Many optimization algorithms were proposed in the literature to drive the search of the design points, with most of them relying on the direct computation of the gradient of the performance function. The approach proposed in this paper adopts an algorithm of differential evolution type and it does not require any specific assump-tion on the performance function. It can be easily adopted to handle the solution of reliability-oriented optimal design problems, including also the structural robustness requirement.

Reliability assessment via differential evolution

CASCIATI, SARA
2011-01-01

Abstract

Approximate reliability methods, known as FORM and SORM, are based on the availability of the so called design point(s). By definition they are points of the generalized performance function at minimum distance from the origin, in a suitable dimensionless space. Many optimization algorithms were proposed in the literature to drive the search of the design points, with most of them relying on the direct computation of the gradient of the performance function. The approach proposed in this paper adopts an algorithm of differential evolution type and it does not require any specific assump-tion on the performance function. It can be easily adopted to handle the solution of reliability-oriented optimal design problems, including also the structural robustness requirement.
2011
978-0-415-66986-3
Design points, Differential Evolution, Minimum distance, Optimal design, Optimization algorithms, Performance functions, Reliability assessments, Reliability methods, Structural robustness
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/93957
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