FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module
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- 作者：Drahomí ; r Nová ; k ; novak.d@fce.vutbr.cz" class="auth_mail ; Miroslav Vo艡echovský ; vorechovsky.m@fce.vutbr.cz" class="auth_mail ; B艡etislav Teplý ; teply.b@fce.vutbr.cz" class="auth_mail
- 关键词：Statistical analysis ; Sensitivity ; Reliability ; Monte Carlo simulation ; Latin Hypercube Sampling ; Simulated annealing ; Random fields ; Material degradation
- 刊名：Advances in Engineering Software
- 出版年：June, 2014
- 年：2014
- 卷：72
- 期：Complete
- 页码：179-192
- 全文大小：3977 K
文摘
The objective of the paper is to present methods and software for the efficient statistical, sensitivity and reliability assessment of engineering problems. Attention is given to small-sample techniques which have been developed for the analysis of computationally intensive problems. The paper shows the possibility of 鈥渞andomizing鈥?computationally intensive problems in the manner of the Monte Carlo type of simulation. In order to keep the number of required simulations at an acceptable level, Latin Hypercube Sampling is utilized. The technique is used for both random variables and random fields. Sensitivity analysis is based on non-parametric 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. FReET-D software is capable of performing degradation modeling, in which a large number of reinforced concrete degradation models can be utilized under the main FReET software engine. Some of the interesting applications of the software are referenced in the paper.