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    Finite Element Methods in Probabilistic Structural Analysis: A Selective Review

    Source: Applied Mechanics Reviews:;1988:;volume( 041 ):;issue: 005::page 201
    Author:
    H. Benaroya
    ,
    M. Rehak
    DOI: 10.1115/1.3151892
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This review examines the field of structural analysis where finite element methods (FEMs) are used in a probabilistic setting. The finite element method is widely used, and its application in the field of structural analysis is universally accepted as an efficient numerical solution method. The analysis of structures, whether subjected to random or deterministic external loads, has been developed mainly under the assumption that the structure’s parameters are deterministic quantities. For a significant number of circumstances, this assumption is not valid, and the probabilistic aspects of the structure need to be taken into account. We present a review of this emerging field: stochastic finite element methods. The terminology denotes the application of finite element methods with a probabilistic context. This broad definition includes two classes of methods: (i) first- and second-order second moment methods, and (ii) reliability methods. This paper addresses only the first category, leaving the second to specialists in that area. The contribution of this review is to illustrate the similarities and differences of the various methods falling in the first category. Also excluded from this review are simulation methods such as Monte Carlo and response surface, and methods that use FEM to solve deterministic equations (Fokker–Planck) governing probability densities. The essential conclusion is that the second moment methods are mathematically identical to the second order (except for the Neumann expansion). The essential distinction that can be made regarding stochastic FEM is the nature of the structure: It can be deterministic or random. By random structure is meant one with parameters that have associated uncertainties, and thus which must be modeled in a random form. Although the randomness in the structure can be of three types, random variable, random process in space, and random process in time, discussion will be limited to the first two categories. While keeping the emphasis on finite element methods, other techniques involving finite differences, which are useful in the study of multi-degree-of-freedom systems, are briefly mentioned. The present review covers only developments that are derived from the engineering literature, thus implying near-term applicability.
    keyword(s): Structural analysis , Finite element methods , Finite element model , Stochastic processes , Probability , Response surface methodology , Equations , Reliability , Simulation AND Stress ,
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      Finite Element Methods in Probabilistic Structural Analysis: A Selective Review

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    http://yetl.yabesh.ir/yetl1/handle/yetl/103396
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    contributor authorH. Benaroya
    contributor authorM. Rehak
    date accessioned2017-05-08T23:26:19Z
    date available2017-05-08T23:26:19Z
    date copyrightMay, 1988
    date issued1988
    identifier issn0003-6900
    identifier otherAMREAD-25561#201_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/103396
    description abstractThis review examines the field of structural analysis where finite element methods (FEMs) are used in a probabilistic setting. The finite element method is widely used, and its application in the field of structural analysis is universally accepted as an efficient numerical solution method. The analysis of structures, whether subjected to random or deterministic external loads, has been developed mainly under the assumption that the structure’s parameters are deterministic quantities. For a significant number of circumstances, this assumption is not valid, and the probabilistic aspects of the structure need to be taken into account. We present a review of this emerging field: stochastic finite element methods. The terminology denotes the application of finite element methods with a probabilistic context. This broad definition includes two classes of methods: (i) first- and second-order second moment methods, and (ii) reliability methods. This paper addresses only the first category, leaving the second to specialists in that area. The contribution of this review is to illustrate the similarities and differences of the various methods falling in the first category. Also excluded from this review are simulation methods such as Monte Carlo and response surface, and methods that use FEM to solve deterministic equations (Fokker–Planck) governing probability densities. The essential conclusion is that the second moment methods are mathematically identical to the second order (except for the Neumann expansion). The essential distinction that can be made regarding stochastic FEM is the nature of the structure: It can be deterministic or random. By random structure is meant one with parameters that have associated uncertainties, and thus which must be modeled in a random form. Although the randomness in the structure can be of three types, random variable, random process in space, and random process in time, discussion will be limited to the first two categories. While keeping the emphasis on finite element methods, other techniques involving finite differences, which are useful in the study of multi-degree-of-freedom systems, are briefly mentioned. The present review covers only developments that are derived from the engineering literature, thus implying near-term applicability.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleFinite Element Methods in Probabilistic Structural Analysis: A Selective Review
    typeJournal Paper
    journal volume41
    journal issue5
    journal titleApplied Mechanics Reviews
    identifier doi10.1115/1.3151892
    journal fristpage201
    journal lastpage213
    identifier eissn0003-6900
    keywordsStructural analysis
    keywordsFinite element methods
    keywordsFinite element model
    keywordsStochastic processes
    keywordsProbability
    keywordsResponse surface methodology
    keywordsEquations
    keywordsReliability
    keywordsSimulation AND Stress
    treeApplied Mechanics Reviews:;1988:;volume( 041 ):;issue: 005
    contenttypeFulltext
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