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NOVÁK, D. VOŘECHOVSKÝ, M.
Original Title
Small-sample probabilistic simulation software tool Freet
Type
miscellaneous
Language
English
Original Abstract
The objective of the paper is to present methods and software for the efficient statistical, sensitivity and reliability assessment of infrastructure. A special attention is devoted to small-sample simulation techniques which have been developed for the analysis of computationally intensive problems. The paper shows the possibility of "randomizing" computationally intensive problems in the sense of the Monte Carlo type simulation. In order to keep the number of required simulations at an acceptable level, optimized Latin Hypercube Sampling is utilized. The technique is used for simulation of random variables and random fields. Sensitivity analysis is based on nonparametric rank-order correlation coefficients. Statistical correlation is imposed by the stochastic optimization technique – simulated annealing. A hierarchical sampling approach has been developed for the extension of the sample size in Latin Hypercube Sampling, enabling the addition of simulations to a current sample set while maintaining the desired correlation structure. The paper continues with a brief description of the user-friendly implementation of the theory within FReET commercial multipurpose reliability software.
Keywords
simulation, reliability, Monte Carlo
Authors
NOVÁK, D.; VOŘECHOVSKÝ, M.
Released
12. 6. 2015
Location
Vancouver, Canada
Pages from
1
Pages to
8
Pages count
BibTex
@misc{BUT115546, author="Drahomír {Novák} and Miroslav {Vořechovský}", title="Small-sample probabilistic simulation software tool Freet", booktitle="Proc. of 12th Int. conference on Application of Statistics and Probability in Cicil Engineering ICASP12", year="2015", pages="1--8", address="Vancouver, Canada", note="miscellaneous" }