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    The True Linearization Coefficients for Nonlinear Systems Under Parametric White Noise Excitations 

    Source: Journal of Applied Mechanics:;2007:;volume( 074 ):;issue: 001:;page 161
    Author(s): Giovanni Falsone
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper some properties of the stochastic linearization method applied to nonlinear systems excited by parametric Gaussian white noises are discussed. In particular, it is shown that the ...
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    Use of the Probability Transformation Method in Some Random Mechanic Problems 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 007 ):;issue: 001:;page 04020054-1
    Author(s): Rossella Laudani; Giovanni Falsone
    Publisher: ASCE
    Abstract: This work addresses the use of the probability transformation method (PTM) and of some of its extensions for solving mechanical and structural systems for which the response is modeled as random fields or variables that ...
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    Stochastic Dynamics of Nonlinear Systems Driven by Non-normal Delta-Correlated Processes 

    Source: Journal of Applied Mechanics:;1993:;volume( 060 ):;issue: 001:;page 141
    Author(s): Mario Di Paola; Giovanni Falsone
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, nonlinear systems subjected to external and parametric non-normal delta-correlated stochastic excitations are treated. A new interpretation of the stochastic differential calculus ...
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    Discussion of “<i>Responses of Dynamic Systems Excited by Non‐Gaussian Pulse Processes</i>” by Sau‐Lon James Hu (September, 1993, Vol. 119, No. 9) 

    Source: Journal of Engineering Mechanics:;1994:;Volume ( 120 ):;issue: 011
    Author(s): Mario Di Paola; Giovanni Falsone
    Publisher: American Society of Civil Engineers
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