Optimal sensor configuration for model identification of periodic structures based on information entropy

摘要：

　　The periodic structure consists of a number of identical units,which are connected together in an identical manner to form the complete structural system.For the purpose of structural system identification,the number of sensors and related positions are extremely important for the information content extracted from the measurement.However,determining the optimal sensor positions is very challenging for large-scale structural systems,such as periodic structures with a huge amount of repeated units.To extract the most amount of information from dynamic measurement,this paper is intended to investigate the problem of optimal sensor configuration for a typical pipeline which can be considered as a large-scale periodically articulated structure.The information entropy measure is utilized to quantify the uncertainties of model parameter estimation,which is taken as the optimality criterion for sensor configuration.By employing the inherent periodicity characteristic for this special type of structure,the computational amount required for dynamic analysis to form the information entropy measure for the entire structure can be dramatically reduced regardless of the number of repeated units.The proposed method is validated by numerical case studies in this paper.

关键词： Optimal sensor configuration periodic structures model parameter identification information entropy

作者: T.Yin K.V.Yuen H.F.Lam H.P.Zhu

作者单位: School of Civil Engineering,Wuhan University,Wuhan 430072,P.R.China Civil and Environmental Engineering,University of Macau,Macao Department of Architecture and Civil Engineering,City University of Hong Kong,Hong Kong School of Civil Engineering & Mechanics,Huazhong University of Science and Technology,Wuhan 430074,P

会议类型: 国际会议

会议名称: The 7th World Conference on Structural Control and Monitoring(7WCSCM)(第七届结构控制与监测世界大会)

会议地点: 青岛

会议语种:英文

页码: 1860-1869

在线出版日期: 2018-07-22（万方平台首次上网日期，不代表论文的发表时间）