Development of the DOProC Method and Its Application in Probabilistic Problems
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Petr Janas,
Martin Krejsa,
Vlastimil Krejsa
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| Transactions of the VSB - Technical University of Ostrava, Civil Engineering Series |
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2008, Volume 8, Issue 1, Pages 319-334
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Doi: Not indexed
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The Direct Optimized Probabilistic Method (DOProC) was developed as an alternative to Monte Carlo simulation procedure in case of probabilistic reliability assessment and was already presented by authors e.g. in the ASRANet 2006 and 2008. Random input variables (e.g. loading, geometry, material properties or imperfections) are characterized by histograms which can be expressed by both non parametric histograms as well as continuous parametric distribution. A number of possible combinations of all random input parameters is equal to a product of a number of intervals in histogram of each involved random variable. This number of combinations may be high in case of large number of input variables leading to extreme number of combinations that cause high computer demand in case of DOProC. Numeric algorithms are implemented in the ProbCalc program.
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