Concepts and Issues of Structural Health Monitoring for Structural Reliability and Decision Making
Objective evaluation of the structural condition is needed for decision making on operation,maintenance,repair and retrofit of existing structures.Structural Health Monitoring(SHM)offers promise to provide this information by means of data collected from a structure.As a result,SHM provides tools for obtaining critical response quantities and data pertaining to structural characteristics accurately.Data can be processed and used real-time or archived for later use.Application of probability-based analysis methods in structural engineering enables inclusion of the uncertainties in inspection,analysis and load prediction,as well as computing the probability of failure of structural components or the entire system.Integrated SHM and probabilistic methods can be expected to achieve better bridge management by minimizing the life-cycle cost over alternative options for given life-spans.This study presents concepts and issues of structural monitoring for structural reliability and decision making under uncertainty.Possible probabilistic approaches and structural reliability will be discussed with special emphasis on how these can benefit from actual data for minimizing uncertainties associated with reliability of the structures.In addition,the authors will discuss how SHM data can be used to predict a condition state and when actions need to be taken along with examples.
Structural Health Monitoring reliability Bayesian assessment deterioration
F. N. Catbas D. M. Frangopol
University of Central Florida, Orlando, FL, USA Lehigh University,Bethlehem,PA,USA
国际会议
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)
重庆·南京
英文
2007-05-01（万方平台首次上网日期，不代表论文的发表时间）