详情

Infrastructure Inspection During and After Unexpected Events - Phase I

项目名称：	Infrastructure Inspection During and After Unexpected Events - Phase I
摘要：	During and after natural disasters, cities will experience chaos when emergency responders have difficulty localizing and quantifying the intensity of damage to civil infrastructures at a time when citizens� safety and wellbeing are in danger. The goal of this research is to develop, test, and refine a probabilistic damage-detection methodology to determine structural health conditions during/following extreme wind conditions and use it as a decision-making tool to minimize the disaster�s effect by improving the ability to respond to and recover from the disaster. The research for developing a damage-detection method comprises four steps. First, a probabilistic hybrid damage-detection algorithm, based on the integration of strain and acceleration data, will be developed. Second, the damage-detection method will be tested on a scaled highway bridge under seismic loading conditions using a shaking table. Third, the damage-detection method will be tested and refined under extreme wind conditions using a wind tunnel that simulates high-wind conditions. Finally, the damage-detection method will be tested and refined inside the wind tunnel with bridges that have different damage scenarios. This research will provide emergency responders an instantaneous image of the severity and distribution of damage across the city in a timely fashion and will thus provide a tool to prioritize response planning. The method will also guide maintenance and repair teams to the specific locations in the structure where damage is most critical.
状态：	Completed
资金：	155790
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Mid-America Transportation Center
项目负责人：	Stearns, Amy
执行机构：	University of Iowa, Iowa City
主要研究人员：	Rahmatalla, Salam
开始时间：	20170701
预计完成日期：	20181204
实际结束时间：	0