期刊
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
卷 20, 期 3, 页码 210-216出版社
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)0887-3801(2006)20:3(210)
关键词
concrete; damage; statistics; Bayesian analysis; earthquakes
The use of images, whether in routine maintenance, or postearthquake reconnaissance, has quickly become the preferred approach to record and archive the exterior damage of existing infrastructure. Postsurvey analysis of these images, coupled with careful record keeping, provide invaluable data regarding the health of a structure. However, often significant amounts of data are obtained, especially for large structures, such as bridges. Therefore an automated procedure, which reliably and robustly reports on damage observed from these images, with minimal human intervention, is desirable. To this end, in this work, we present a statistical-based method for conducting image analysis, specifically for the purpose of evaluating concrete damage (cracks, spalling, etc.). We illustrate the derivation of the method, which is grounded in Bayesian decision theory and subsequently present results of the analysis of images with discrete cracks to illustrate its promise.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据