Efficient global surrogate modeling for reliability-based design optimization (Record no. 21072)

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fixed length control field 240528b xxu||||| |||| 00| 0 eng d
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Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
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9 (RLIN) 23472
Author Bichon, Barron J.
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Title Efficient global surrogate modeling for reliability-based design optimization
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Volume, Issue number Vol.135(1), Jan
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Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. ASME
Year 2013
300 ## - PHYSICAL DESCRIPTION
Pagination 1-13p.
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Summary, etc. Determining the optimal (lightest, least expensive, etc.) design for an engineered component or system that meets or exceeds a specified level of reliability is a problem of obvious interest across a wide spectrum of engineering fields. Various formulations and methods for solving this reliability-based design optimization problem have been proposed, but they typically involve accepting a tradeoff between accuracy and efficiency in the reliability analysis. This paper investigates the use of the efficient global optimization and efficient global reliability analysis methods to construct surrogate models at both the design optimization and reliability analysis levels to create methods that are more efficient than existing methods without sacrificing accuracy. Several formulations are proposed and compared through a series of test problems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4626
Topical term or geographic name entry element Mechanical Engineering
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 23473
Co-Author Eldred, Michael S.
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication India Chary Publication
Title Journal of mechanical design
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URL https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/135/1/011009/375645/Efficient-Global-Surrogate-Modeling-for?redirectedFrom=fulltext
Link text Click here
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          School of Engineering & Technology School of Engineering & Technology Archieval Section 2024-05-28 2024-0640 2024-05-28 2024-05-28 Articles Abstract Database
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