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    Robust Modeling of the Rocking Problem 

    Source: Journal of Engineering Mechanics:;2012:;Volume ( 138 ):;issue: 003
    Author(s): M. N. Chatzis; A. W. Smyth
    Publisher: American Society of Civil Engineers
    Abstract: The rocking motion of a solid block on a moving deformable base is a dynamic problem that, despite its apparent simplicity, involves a number of complex dynamic phenomena such as impacts, sliding, geometric and material ...
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    Probabilistic Representation and Transmission of Nonstationary Processes in Multi-Degree-of-Freedom Systems 

    Source: Journal of Applied Mechanics:;1998:;volume( 065 ):;issue: 002:;page 398
    Author(s): S. F. Masri; A. W. Smyth; M.-I. Traina
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A relatively simple and straightforward procedure is presented for representing non-stationary random process data in a compact probabilistic format which can be used as excitation input in ...
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    Examining the Energy Loss in the Inverted Pendulum Model for Rocking Bodies 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 005
    Author(s): M. N. Chatzis; M. García Espinosa; A. W. Smyth
    Publisher: American Society of Civil Engineers
    Abstract: Understanding the mechanisms that may lead to failure of rocking bodies is significantly important in quantifying and minimizing the associated risk. The most common model to describe the rocking problem is the inverted ...
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    Surveillance of Mechanical Systems on the Basis of Vibration Signature Analysis 

    Source: Journal of Applied Mechanics:;2000:;volume( 067 ):;issue: 003:;page 540
    Author(s): A. W. Smyth; S. F. Masri; T. K. Caughey; N. F. Hunter
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A comprehensive experimental study is presented to assess the utility of a proposed structural health monitoring and damage detection methodology based on vibration signature analysis of the test ...
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    Robust Adaptive Neural Estimation of Restoring Forces in Nonlinear Structures 

    Source: Journal of Applied Mechanics:;2001:;volume( 068 ):;issue: 006:;page 880
    Author(s): E. B. Kosmatopoulos; A. W. Smyth; S. F. Masri; A. G. Chassiakos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The availability of methods for on-line estimation and identification of structures is crucial for the monitoring and active control of time-varying nonlinear structural systems. Adaptive estimation ...
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    Training Neural Networks by Adaptive Random Search Techniques 

    Source: Journal of Engineering Mechanics:;1999:;Volume ( 125 ):;issue: 002
    Author(s): S. F. Masri; A. W. Smyth; A. G. Chassiakos; M. Nakamura; T. K. Caughey
    Publisher: American Society of Civil Engineers
    Abstract: A relatively simple stochastic optimization procedure based on the adaptive random search algorithm is presented to train artificial neural networks of the type encountered in applied mechanics applications. After discussing ...
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    On-Line Identification of Hysteretic Systems 

    Source: Journal of Applied Mechanics:;1998:;volume( 065 ):;issue: 001:;page 194
    Author(s): A. G. Chassiakos; S. F. Masri; T. K. Caughey; A. W. Smyth
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Using adaptive estimation approaches, a method is presented for the on-line identification of hysteretic systems under arbitrary dynamic environments. The availability of such an identification ...
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    On-Line Parametric Identification of MDOF Nonlinear Hysteretic Systems 

    Source: Journal of Engineering Mechanics:;1999:;Volume ( 125 ):;issue: 002
    Author(s): A. W. Smyth; S. F. Masri; A. G. Chassiakos; T. K. Caughey
    Publisher: American Society of Civil Engineers
    Abstract: A method based on adaptive estimation approaches is presented for the on-line identification of hysteretic systems under arbitrary dynamic environments. The availability of such an identification approach is crucial for ...
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    Application of Neural Networks for Detection of Changes in Nonlinear Systems 

    Source: Journal of Engineering Mechanics:;2000:;Volume ( 126 ):;issue: 007
    Author(s): S. F. Masri; A. W. Smyth; A. G. Chassiakos; T. K. Caughey; N. F. Hunter
    Publisher: American Society of Civil Engineers
    Abstract: A nonparametric structural damage detection methodology based on nonlinear system identification approaches is presented for the health monitoring of structure-unknown systems. In its general form, the method requires no ...
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