000013147 001__ 13147
000013147 005__ 20161114160329.0
000013147 04107 $$aeng
000013147 046__ $$k2009-06-22
000013147 100__ $$aSickert J., U.
000013147 24500 $$aStructural dynamics under consideration of imprecise probability

000013147 24630 $$n2.$$pComputational Methods in Structural Dynamics and Earhquake Engineering
000013147 260__ $$bNational Technical University of Athens, 2009
000013147 506__ $$arestricted
000013147 520__ $$2eng$$aThe incorporation of fuzzy random input variables within a dynamic structural analysis leads to uncertain structural responses representing the uncertain structural performance close to the reality. The uncertain structural responses are determined using fuzzy stochastic dynamic analysis. Thereby fuzzy stochastic processes result because of dynamic actions. The fuzzy stochastic analysis of industry-sized problems requires high performance computational tools in order to deal with a large number of uncertain input variables as well as complex nonlinear structural models. An efficient approach is introduced which is based on α-level optimization and Monte-Carlo simulation using metamodels which partly replace the dynamic structural analyses. As the design of a structure or a structural member represents an inverse problem in analysis, the results arising from fuzzy stochastic analysis can build the basis of a design approach. The design approach is enhanced in this contribution for dynamic actions. The capability of the fuzzy stochastic dynamic analysis is demonstrated by means of an example.

000013147 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000013147 653__ $$aUncertainty, Fuzzy Probability, Fuzzy Stochastic Dynamic Analysis, Fuzzy Random Structural Responses. Abstract. The incorporation of fuzzy random input variables within a dynamic structural analysis leads to uncertain structural responses representing the uncertain structural performance close to the reality. The uncertain structural responses are determined using fuzzy stochastic dynamic analysis. Thereby fuzzy stochastic processes result because of dynamic actions. The fuzzy stochastic analysis of industry-sized problems requires high performance computational tools in order to deal with a large number of uncertain input variables as well as complex nonlinear structural models. An efficient approach is introduced which is based on α-level optimization and Monte-Carlo simulation using metamodels which partly replace the dynamic structural analyses. As the design of a structure or a structural member represents an inverse problem in analysis, the results arising from fuzzy stochastic analysis can build the basis of a design approach. The design approach is enhanced in this contribution for dynamic actions. The capability of the fuzzy stochastic dynamic analysis is demonstrated by means of an example.

000013147 7112_ $$aCOMPDYN 2009 - 2nd International Thematic Conference$$cIsland of Rhodes (GR)$$d2009-06-22 / 2009-06-24$$gCOMPDYN2009
000013147 720__ $$aSickert J., U.$$iGraf, W.$$iSteinigen, F.
000013147 8560_ $$ffischerc@itam.cas.cz
000013147 8564_ $$s1085473$$uhttps://invenio.itam.cas.cz/record/13147/files/CD197.pdf$$yOriginal version of the author's contribution as presented on CD, section: Robust stochastic analysis, optimal design and model updating of engineering systems - ii (MS).
000013147 962__ $$r13074
000013147 980__ $$aPAPER