Analysis and computation with hybrid random set stochastic Models

被引:17
|
作者
Oberguggenberger, Michael [1 ]
机构
[1] Leopold Franzens Univ Innsbruck, Inst Grundlagen Tech Wissensch, A-6020 Innsbruck, Austria
关键词
Uncertainty analysis; Stochastic processes; Random sets; Hybrid models; Monte Carlo simulation; Sensitivity analysis; SENSITIVITY-ANALYSIS; DIFFERENTIAL-EQUATIONS; RELIABILITY-ANALYSIS; MULTIVARIATE MODELS; SLOPE HYDROLOGY; UNCERTAINTY; PROBABILITY; PARAMETERS; INTERVAL; REPRESENTATIONS;
D O I
10.1016/j.strusafe.2014.05.008
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Engineering structures are usually modelled as input-output maps: the response is a function of input parameters and driving forces, both being nondeterministic and uncertain. The paper addresses and advertises recent methods combining stochastic processes and imprecise probability, namely random fields for the description of loads and random sets for the description of uncertain input parameters. This approach covers interval analysis, fuzzy sets, Dempster-Shafer structures and random variables and their hybrid combination with stochastic processes. The methods are demonstrated using an example from geotechnics, including an application to sensitivity analysis. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:233 / 243
页数:11
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