abstract: 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 applications, 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.
authors.affiliation: Engineering Mechanics, University of Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria.
authors.forename: Edoardo
authors.initials: E
authors.lastname: Patelli
authors.forename: H
authors.initials: H
authors.lastname: Murat Panayirci
authors.forename: Matteo
authors.initials: M
authors.lastname: Broggi
authors.forename: Barbara
authors.initials: B
authors.lastname: Goller
authors.forename: Pierre
authors.initials: P
authors.lastname: Beaurepaire
authors.forename: Helmut J
authors.initials: HJ
authors.lastname: Pradlwarter
authors.forename: Gerhart I
authors.initials: GI
authors.lastname: Schuëller