BRIDGE PARAMETER IDENTIFICATIONS BY VEHICLE RESPONSES ON PATTERN SEARCH METHOD

摘要：

Bridge frequency extraction by vehicle responses on FFT transformation is an attractive concept,which was proposed by Yang in 2004. The method is expanded in this study by the parameter identifications on the mathematical model,and not with signal transformation method. Both the bridge frequency and the common bridge parameters,such as bridge stiffness,can be identified by the algorithm. The identifications are achieved on the Pattern Search Method (PSM). PSM is considered to be a potential optimized method that can work on discontinuous and derivative-free data,which is not studied much in civil engineering. The identification feasibility on PSM is demonstrated with initial values that are either close to and far from the theoretical value,and investigated with a 10％ white noises level. The identification superiorities on PSM are demonstrated with a general genetic algorithm on the accuracy,efficiency,and robustness. Bridge parameter identifications by the vehicle responses in this study offer a feasible method to indicate the bridge health with all the parameters in the vibration differential equations,excluding the frequencies.

关键词： Structure vibration Structural health monitoring System identification Pattern search method

作者: Wei-Ming Li Hong-Ping Zhu Yong Xia

作者单位: School of Civil Engineering and Mechanics, Huazhong University of Science and Technology,Wuhan,43007 Department of Civil & Structural Engineering,The Hong Kong Polytechnic University,Hung Horn,Kowloon,

会议类型: 国际会议

会议名称: The Eleventh International Symposium on Structural Engineering(第十一届结构工程国际研讨会)

会议地点: 广州

会议语种:英文

页码: 1512-1518

在线出版日期: 2010-12-01（万方平台首次上网日期，不代表论文的发表时间）