Computational Technology Resources - CCP

Paper 6

Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design

D. Lehký, O. Slowik and D. Novák

Institute of Structural Mechanics, Brno University of Technology, Czech Republic

doi:10.4203/ccp.109.6

, "Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 6, 2015. doi:10.4203/ccp.109.6

Keywords: inverse reliability problem, artificial neural network, double-loop reliability-based optimization, latin hypercube sampling, first order reliability method.

Summary

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.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 109 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING Edited by: Y. Tsompanakis, J. Kruis and B.H.V. Topping Paper 6 Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design D. Lehký, O. Slowik and D. Novák Institute of Structural Mechanics, Brno University of Technology, Czech Republic doi:10.4203/ccp.109.6 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Double-Loop Optimization and Soft Computing Based Inverse Analysis Approaches for Performing Reliability-based Design", in Y. Tsompanakis, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Fourth International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 6, 2015. doi:10.4203/ccp.109.6 Keywords: inverse reliability problem, artificial neural network, double-loop reliability-based optimization, latin hypercube sampling, first order reliability method. Summary 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. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £50 +P&P)
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