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    Dynamic Response of Suspension Bridge to High Wind and Running Train 

    Source: Journal of Bridge Engineering:;2003:;Volume ( 008 ):;issue: 001
    Author(s): Y. L. Xu; H. Xia; Q. S. Yan
    Publisher: American Society of Civil Engineers
    Abstract: A framework is presented for predicting the dynamic response of long suspension bridges to high winds and running trains. A three-dimensional finite-element model is used to represent a suspension bridge. Wind forces acting ...
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    Dynamic Response of Suspension Bridge to Typhoon and Trains. I: Field Measurement Results 

    Source: Journal of Structural Engineering:;2007:;Volume ( 133 ):;issue: 001
    Author(s): Y. L. Xu; W. W. Guo; J. Chen; K. M. Shum; H. Xia
    Publisher: American Society of Civil Engineers
    Abstract: A wind and structural health monitoring system (WASHMS) was installed in the Tsing Ma suspension bridge in Hong Kong in 1997. On September 16, 1999, Typhoon York, which was the strongest typhoon since 1983 and the typhoon ...
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    Dynamic Response of Suspension Bridge to Typhoon and Trains. II: Numerical Results 

    Source: Journal of Structural Engineering:;2007:;Volume ( 133 ):;issue: 001
    Author(s): W. W. Guo; Y. L. Xu; H. Xia; W. S. Zhang; K. M. Shum
    Publisher: American Society of Civil Engineers
    Abstract: The field measurement results of the Tsing Ma suspension bridge under cross winds and running trains during Typhoon York have been presented in Part I of this study. The field measurement results are used in this paper ...
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    Back-Analysis and Parameter Identification for Deep Excavation Based on Pareto Multiobjective Optimization 

    Source: Journal of Aerospace Engineering:;2015:;Volume ( 028 ):;issue: 006
    Author(s): Z. H. Huang; L. L. Zhang; S. Y. Cheng; J. Zhang; X. H. Xia
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, a back-analysis method of deep excavation based on the Pareto multiobjective optimization is proposed and a multiobjective optimization algorithm multialgorithm genetically adaptive multiobjective method ...
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