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    Nondestructive Evaluation of Composite Structures Using System Identification Technique 

    Source: Journal of Engineering Materials and Technology:;1988:;volume( 110 ):;issue: 002:;page 134
    Author(s): W. H. Tsai; J. C. S. Yang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A system identification technique is presented for nondestructive test to detect and to characterize the existence and location of cracks and other damages in composite structures. Various composite ...
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    Damage Detection in Offshore Structures by the Random Decrement Technique 

    Source: Journal of Energy Resources Technology:;1984:;volume( 106 ):;issue: 001:;page 38
    Author(s): J. C. S. Yang; N. G. Dagalakis; J. Chen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Random Decrement Technique has shown promise as an inspection technique for offshore structures. The major advantage of this technique is that it requires only measurements of the dynamic ...
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    Determination of Fluid Damping Using Random Excitation 

    Source: Journal of Energy Resources Technology:;1985:;volume( 107 ):;issue: 002:;page 220
    Author(s): J. C. S. Yang; C. H. Marks; J. Jiang; D. Chen; A. Elahi; W-H. Tsai
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An experimental investigation has been carried out to verify the validity of the use of the random decrement technique to determine the damping coefficients for a circular cylinder oscillating ...
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    Neural Network for Structure Control 

    Source: Journal of Computing in Civil Engineering:;1995:;Volume ( 009 ):;issue: 002
    Author(s): H. M. Chen; K. H. Tsai; G. Z. Qi; J. C. S. Yang; F. Amini
    Publisher: American Society of Civil Engineers
    Abstract: Significant progress has been achieved in the active control of civil-engineering structures, not only in the control algorithm, but also in the control testing of the scale model and full-scale building. At the present ...
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    Neural Network for Structural Dynamic Model Identification 

    Source: Journal of Engineering Mechanics:;1995:;Volume ( 121 ):;issue: 012
    Author(s): H. M. Chen; G. Z. Qi; J. C. S. Yang; F. Amini
    Publisher: American Society of Civil Engineers
    Abstract: The identification and modeling of linear and nonlinear dynamic systems through the use of measured experimental data is a problem of considerable importance in engineering. Among the identification methods, the artificial ...
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