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    Phase Space Reduction in Stochastic Dynamics 

    Source: Journal of Engineering Mechanics:;2000:;Volume ( 126 ):;issue: 006
    Author(s): M. Vasta; G. I. Schuëller
    Publisher: American Society of Civil Engineers
    Abstract: In the field of structural engineering, various analytical procedures have been developed for the analysis of nonlinear structural systems subjected to random dynamic loading. To date, the Monte Carlo simulation (MCS) seems ...
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    <i>Structural Dynamics: Recent Advances</i> 

    Source: Journal of Engineering Mechanics:;1993:;Volume ( 119 ):;issue: 007
    Author(s): G. I. Schuëller, Editor; Costas Papadimitriou, Reviewer
    Publisher: American Society of Civil Engineers
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    Stochastic Methods in Structural Dynamics 

    Source: Journal of Applied Mechanics:;1988:;volume( 055 ):;issue: 002:;page 501
    Author(s): G. I. Schueller; Ross B. Corotis; M. Shinozuka
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Evidence-Based Identification of Weighting Factors in Bayesian Model Updating Using Modal Data 

    Source: Journal of Engineering Mechanics:;2012:;Volume ( 138 ):;issue: 005
    Author(s): B. Goller; J. L. Beck; G. I. Schuëller
    Publisher: American Society of Civil Engineers
    Abstract: In Bayesian model updating, parameter identification of structural systems using modal data can be based on the formulation of the likelihood function as a product of two probability density functions, one relating to modal ...
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    Reliability-Based Design Optimization of Uncertain Stochastic Systems: Gradient-Based Scheme 

    Source: Journal of Engineering Mechanics:;2012:;Volume ( 138 ):;issue: 001
    Author(s): H. A. Jensen; D. S. Kusanovic; M. A. Valdebenito; G. I. Schuëller
    Publisher: American Society of Civil Engineers
    Abstract: A method to carry out reliability-based optimization of uncertain structural systems under stochastic excitation is presented in this paper. The approach is based on a nonlinear interior point algorithm and a line search ...
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