State identification by soft computing techniques during service conditions

摘要：

In this paper a double-step strategy for damage detection and localization is applied for the case of a long span suspension bridge.The strategy uses the service response of the bridge under environmental and traffic loads,allowing the continuity of service.In the first step,from the wind response of the bridge,a distributed permanent network of sensors,integrated to a neural network,allows the damage detection and a coarse localization,and produces also an alert signal for the bridge management.In the second step an appositely installed system of sensors,integrated to a neural network,refines the localization to element-level,and produces a damage vector by the mean of a pattern recognition procedure.

关键词： Suspension bridges Health Monitoring Neural Networks multi-step strategies

作者: S. Arangio F. Bontempi F. Giuliano G. Pieri

作者单位: Department of Structural and Geotechnical Engineering,University of Roma La Sapienza,Rome,Italy Department of Structural Mechanics,University of Pavia,Pavia,Italy Graduate student,School of Engineering,University of Roma La Sapienza,Rome,Italy

会议类型: 国际会议

会议名称: The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）