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    Stationary Response Probability Distribution of SDOF Nonlinear Stochastic Systems 

    Source: Journal of Applied Mechanics:;2017:;volume( 084 ):;issue: 005:;page 51006
    Author(s): Chen, Lincong; Liu, Jun; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: There has been no significant progress in developing new techniques for obtaining exact stationary probability density functions (PDFs) of nonlinear stochastic systems since the development of the method of generalized ...
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    An Alternating Efficient Approach for Determination of the NonStationary Responses of Strongly Nonlinear Systems Driven by Random Excitations 

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 004:;page 41003
    Author(s): Qian, Jiamin;Chen, Lincong;Sun, JianQiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An alternating efficient approach for predicting nonstationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
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    An Alternating Efficient Approach for Determination of the Non-Stationary Responses of Strongly Nonlinear Systems Driven by Random Excitations 

    Source: Journal of Applied Mechanics:;2023:;volume( 090 ):;issue: 004:;page 41003-1
    Author(s): Qian, Jiamin; Chen, Lincong; Sun, Jian-Qiao
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An alternating efficient approach for predicting non-stationary response of randomly excited nonlinear systems is proposed by a combination of radial basis function neural network (RBFNN) and stochastic averaging method ...
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