Probabilistic condition monitoring of smart structural elements

摘要：

This paper presents a damage detection procedure based on Bayesian analysis of data recorded by permanent monitoring systems and validates this method to the condition assessment of a roadway bridge,constructed using smart Precast Reinforced Concrete(PRC)elements.The concept is to assume a set of possible condition states of the element,including an intact condition and various combinations of damage,such as failure of strands,cover spalling and cracking.Based on these states,a set of potential time response scenarios is evaluated first,each described by a vector of random parameters(such as location and extent of damage),and by a theoretical model.Based on the prior distribution of this vector,the method assigns posterior probability to each scenario as well as updated probability distributions to each parameter.The ability to recognize damage using different sensor types,measurement locations and acquisition modes is investigated and discussed.

关键词： Damage detection Bayesian updating Model selection PRC bridges

作者: D. Zonta M. Pozzi

作者单位: DIMS,University of Trento,Via Mesiano 77,38050 Trento,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）