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LEHKÝ, D. SLOWIK, O. NOVÁK, D.
Original Title
Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design.
Type
conference paper
Language
English
Original Abstract
Two alternative approaches to solve an inverse reliability problem are presented in this paper. The first approach is based on utilization of an artificial neural network and small-sample simulation technique. The second approach considers the inverse reliability task as a reliability-based optimization task using a double-loop optimization method based on a small-sample simulation. The efficiency of both approaches is tested using numerical examples of structural design. Advantages and disadvantages of both approaches are discussed.
Keywords
Inverse reliability problem, artificial neural network, double-loop reliability-based optimization, Latin hypercube sampling, first order reliability method.
Authors
LEHKÝ, D.; SLOWIK, O.; NOVÁK, D.
RIV year
2015
Released
1. 9. 2015
Publisher
Y. Tsompanakis, J. Kruis, B.H.V. Topping
Location
Praha, Česká republika
ISBN
978-1-905088-64-5
Book
Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering
1759-3433
Periodical
Civil-Comp Proceedings
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
15
Pages count
BibTex
@inproceedings{BUT123862, author="David {Lehký} and Ondřej {Slowik} and Drahomír {Novák}", title="Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design.", booktitle="Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", year="2015", journal="Civil-Comp Proceedings", pages="1--15", publisher="Y. Tsompanakis, J. Kruis, B.H.V. Topping", address="Praha, Česká republika", isbn="978-1-905088-64-5", issn="1759-3433" }