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Keywords: Monte Carlo simulation, parallel processing, simulation-based reliability assessment, reliability assessment, probability of failure.

Summary

Advances in computer technology make it possible to utilize the potential of the simulation-based reliability assessment (SBRA) method not only for the reliability assessment of simple structures and their components, but also for the reliability assessment of more complex, statically indeterminate frame structures. In connection with the transition to a probabilistic reliability assessment of systems, it is necessary to handle the very high demand for the computer time caused by the thousands of the Monte Carlo simulations.

The academic program Monte is tested in order to evaluate its capability to handle probabilistic reliability assessment using parallel computing. The parallelisation feature is realized using the standard MPI interface. The program can be used on multi core PCs as well as on the multi-processor workstations and clusters. It has an interface for the interaction with programs written in the form of a user-defined dynamic library in order to effectively manage specific tasks. There is also the possibility to combine the probabilistic tool Monte with academic finite element tool uFEM. Such a combination provides the possibility for the solution of the two or three-dimensional problems.

A set of tests starts with the probabilistic safety assessment of a planar unbraced steel frame with a leaning column. The safety and serviceability assessment of the frame is performed, whereas an analytical transformation model applying the second order theory is used. The major part of input variables (including loadings, imperfections, cross section characteristics and material properties) are considered using random variables represented in compliance with the SBRA method with the corresponding histograms.

The effectiveness of parallel processing is indicated by the example of stochastic reliability analysis. The Monte code is used for the probabilistic assessment, using the SBRA method, of the example of an unbraced frame with leaning columns. The success of small-size parallelisation seems to be promising for probabilistic finite element analysis using large clusters.

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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: 90 PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING FOR ENGINEERING Edited by: Paper 38 Simulation Based Reliability Assessment Method using Parallel Computing P. Konecný, J. Brozovský and V. Krivý Faculty of Civil Engineering, VŠB - Technical University of Ostrava, Czech Republic doi:10.4203/ccp.90.38 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Simulation Based Reliability Assessment Method using Parallel Computing", in , (Editors), "Proceedings of the First International Conference on Parallel, Distributed and Grid Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 38, 2009. doi:10.4203/ccp.90.38 Keywords: Monte Carlo simulation, parallel processing, simulation-based reliability assessment, reliability assessment, probability of failure. Summary Advances in computer technology make it possible to utilize the potential of the simulation-based reliability assessment (SBRA) method not only for the reliability assessment of simple structures and their components, but also for the reliability assessment of more complex, statically indeterminate frame structures. In connection with the transition to a probabilistic reliability assessment of systems, it is necessary to handle the very high demand for the computer time caused by the thousands of the Monte Carlo simulations. The academic program Monte is tested in order to evaluate its capability to handle probabilistic reliability assessment using parallel computing. The parallelisation feature is realized using the standard MPI interface. The program can be used on multi core PCs as well as on the multi-processor workstations and clusters. It has an interface for the interaction with programs written in the form of a user-defined dynamic library in order to effectively manage specific tasks. There is also the possibility to combine the probabilistic tool Monte with academic finite element tool uFEM. Such a combination provides the possibility for the solution of the two or three-dimensional problems. A set of tests starts with the probabilistic safety assessment of a planar unbraced steel frame with a leaning column. The safety and serviceability assessment of the frame is performed, whereas an analytical transformation model applying the second order theory is used. The major part of input variables (including loadings, imperfections, cross section characteristics and material properties) are considered using random variables represented in compliance with the SBRA method with the corresponding histograms. The effectiveness of parallel processing is indicated by the example of stochastic reliability analysis. The Monte code is used for the probabilistic assessment, using the SBRA method, of the example of an unbraced frame with leaning columns. The success of small-size parallelisation seems to be promising for probabilistic finite element analysis using large clusters. 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 £72 +P&P)
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