Structural damage detection using static strain data

摘要：

Structural health monitoring(SHM)is expected to play a key role in ensuring the sustainability of the nation’s civil infrastructure.In recent years,researchers have developed numerous damage detection methods to localize and quantify damage.The damage locating vector(DLV)method proposed by Bernal(2002)has received significant attention because of effectiveness in localizing damage in structures.This paper investigates an extension of the DLV method to allow use of static strain measurements.A series of numerical simulations and laboratory experiments have been conducted to validate the approach,termed herein as the strain DLV method.From these results,the strain DLV method is shown to determine damage locations successfully using a smaller number of sensors,even when the strain at the damaged element is not available.

关键词： Structural health monitoring damage locating vector static strain

作者: S.A. Jang S.H. Sim B.F. Spencer Jr.

作者单位: Department of Civil end Environmental Engineering University of Illinois at Urbana-Champaign,Illinois,U.S.A

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）