Reliability-based optimal design using sample average approximations
Article (234.6Kb)Abstract
An algorithm for reliability-based optimal design is developed using sampling techniques for estimating the failure probability. The
algorithm applies a new method for sensitivity calculations of the failure probability. Initially, the estimates of the failure probability are
coarse. As the algorithm progresses towards an optimal design, the number of sample points is increased in an adaptive way leading to better
estimates of the failure probability. The algorithm is proven to converge to an optimal design. The applicability of the algorithm is shown in
an example from the area of highway bridge design.
Description
The article of record as published may be found at http://dx.doi.org/10.1016/j.probengmech.2004.03.001
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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