期刊
FINITE ELEMENTS IN ANALYSIS AND DESIGN
卷 51, 期 -, 页码 31-48出版社
ELSEVIER
DOI: 10.1016/j.finel.2011.11.003
关键词
Uncertainty quantification; Surrogate model; Finite element analysis; General purpose software; Sensitivity analysis; Optimization; Reliability; Stochastic finite element methods
资金
- Austrian Science Foundation(FWF) [L269-N13]
- Austrian academy of Science
The aim of this paper is to demonstrate that stochastic analyses can be performed on large and complex models within affordable costs. Stochastic analyses offer a much more realistic approach for analysis and design of components and systems although generally computationally demanding. Hence, resorting to efficient approaches and high performance computing is required in order to reduce the execution time. A general purpose software that provides an integration between deterministic solvers (i. e. finite element solvers), efficient algorithms for uncertainty management and high performance computing is presented. The software is intended for a wide range of application, which includes optimization analysis, life-cycle management, reliability and risk analysis, fatigue and fractures simulation, robust design. The applicability of the proposed tools for practical applications is demonstrated by means of a number of case studies of industrial interest involving detailed models. (C) 2011 Elsevier B. V. All rights reserved.
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