Reliability-based optimal design using sample average approximations
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Authors
Royset, J.O.
Polak, E.
Subjects
Reliability-based optimal design
Sample average approximations
Monte-Carlo simulation
Bridge design
Sample average approximations
Monte-Carlo simulation
Bridge design
Advisors
Date of Issue
2004
Date
2004
Publisher
Elsevier Ltd.
Language
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.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1016/j.probengmech.2004.03.001
Series/Report No
Department
Operations Research (OR)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Research Associateship Program at the National Research Council
Taisei Chair in Civil Engineering at UC Berkeley
National Science Foundation grant ECS-9900985
Taisei Chair in Civil Engineering at UC Berkeley
National Science Foundation grant ECS-9900985
Funder
Research Associateship Program at the National Research Council
Taisei Chair in Civil Engineering at UC Berkeley
National Science Foundation grant ECS-9900985
Taisei Chair in Civil Engineering at UC Berkeley
National Science Foundation grant ECS-9900985
Format
13 p.
Citation
Probabilistic Engineering Mechanics 19 (2004) 331–343
Distribution Statement
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.