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Fuzzy randomness: uncertainty in civil engineering and computational mechanics

This book, for the first time, provides a coherent, overall concept for taking account of uncertainty in the analysis, the safety assessment, and the design of structures. The reader is introduced to the problem of uncertainty modeling and familiarized with particular uncertainty models. For simulta...

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Detalles Bibliográficos
Autores principales: Möller, Bernd, Beer, Michael
Lenguaje:eng
Publicado: Springer 2004
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-662-07358-2
http://cds.cern.ch/record/2006249
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author Möller, Bernd
Beer, Michael
author_facet Möller, Bernd
Beer, Michael
author_sort Möller, Bernd
collection CERN
description This book, for the first time, provides a coherent, overall concept for taking account of uncertainty in the analysis, the safety assessment, and the design of structures. The reader is introduced to the problem of uncertainty modeling and familiarized with particular uncertainty models. For simultaneously considering stochastic and non-stochastic uncertainty the superordinated uncertainty model fuzzy randomness, which contains real valued random variables as well as fuzzy variables as special cases, is presented. For this purpose basic mathematical knowledge concerning the fuzzy set theory and the theory of fuzzy random variables is imparted. The body of the book comprises the appropriate quantification of uncertain structural parameters, the fuzzy and fuzzy probabilistic structural analysis, the fuzzy probabilistic safety assessment, and the fuzzy cluster structural design. The completely new algorithms are described in detail and illustrated by way of demonstrative examples.
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institution Organización Europea para la Investigación Nuclear
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publishDate 2004
publisher Springer
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spelling cern-20062492021-04-21T20:23:17Zdoi:10.1007/978-3-662-07358-2http://cds.cern.ch/record/2006249engMöller, BerndBeer, MichaelFuzzy randomness: uncertainty in civil engineering and computational mechanicsMathematical Physics and MathematicsThis book, for the first time, provides a coherent, overall concept for taking account of uncertainty in the analysis, the safety assessment, and the design of structures. The reader is introduced to the problem of uncertainty modeling and familiarized with particular uncertainty models. For simultaneously considering stochastic and non-stochastic uncertainty the superordinated uncertainty model fuzzy randomness, which contains real valued random variables as well as fuzzy variables as special cases, is presented. For this purpose basic mathematical knowledge concerning the fuzzy set theory and the theory of fuzzy random variables is imparted. The body of the book comprises the appropriate quantification of uncertain structural parameters, the fuzzy and fuzzy probabilistic structural analysis, the fuzzy probabilistic safety assessment, and the fuzzy cluster structural design. The completely new algorithms are described in detail and illustrated by way of demonstrative examples.Springeroai:cds.cern.ch:20062492004
spellingShingle Mathematical Physics and Mathematics
Möller, Bernd
Beer, Michael
Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title_full Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title_fullStr Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title_full_unstemmed Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title_short Fuzzy randomness: uncertainty in civil engineering and computational mechanics
title_sort fuzzy randomness: uncertainty in civil engineering and computational mechanics
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-662-07358-2
http://cds.cern.ch/record/2006249
work_keys_str_mv AT mollerbernd fuzzyrandomnessuncertaintyincivilengineeringandcomputationalmechanics
AT beermichael fuzzyrandomnessuncertaintyincivilengineeringandcomputationalmechanics