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    The Nonlinear Gaussian Spectrum of Log-Normal Stochastic Processes and Variables 

    Source: Journal of Applied Mechanics:;1999:;volume( 066 ):;issue: 004:;page 964
    Author(s): R. Ghanem
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A procedure is presented in this paper for developing a representation of lognormal stochastic processes via the polynomial chaos expansion. These are processes obtained by applying the exponential ...
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    Hybrid Stochastic Finite Elements and Generalized Monte Carlo Simulation 

    Source: Journal of Applied Mechanics:;1998:;volume( 065 ):;issue: 004:;page 1004
    Author(s): R. Ghanem
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A procedure is developed to integrate analytical solutions to problems featuring random media with Monte Carlo simulations in order to improve the efficiency of the simulations. This is achieved ...
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    Stochastic Finite-Element Analysis of Soil Layers with Random Interface 

    Source: Journal of Engineering Mechanics:;1996:;Volume ( 122 ):;issue: 004
    Author(s): R. Ghanem; W. Brzakala
    Publisher: American Society of Civil Engineers
    Abstract: This paper addresses the problem of a medium with two layers separated by an interface randomly fluctuating in space. The medium is subjected to an in-plane strain field simulating the effect of a surface foundation. The ...
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    Boundary Element Formulation for Random Vibration Problems 

    Source: Journal of Engineering Mechanics:;1991:;Volume ( 117 ):;issue: 002
    Author(s): P. D. Spanos; R. Ghanem
    Publisher: American Society of Civil Engineers
    Abstract: A new method is proposed to deal with a class of probabilistic mechanics problems. It is based on the application of the boundary element concept to problems involving random excitations. The method circumvents the issue ...
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    Adaptive Control of Nonlinear Uncertain Dynamical Systems 

    Source: Journal of Engineering Mechanics:;1997:;Volume ( 123 ):;issue: 011
    Author(s): R. Ghanem; M. Bujakov; K. Torikoshi; H. Itoh; T. Inazuka; H. Hiei; T. Watanabe
    Publisher: American Society of Civil Engineers
    Abstract: In this paper an algorithm is implemented for the control of uncertain nonlinear dynamical systems. The control algorithm is adaptive and consists of two phases. First, a system identification phase is implemented to develop ...
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