详情

当前位置：首页> 全球交通科研项目数据库 >详情

Diagnosis and Prognosis of Retrofit Fatigue Crack Reinitiation and Growth in Steel-girder Bridges for Proactive Repair and Emergency Planning

项目名称：	Diagnosis and Prognosis of Retrofit Fatigue Crack Reinitiation and Growth in Steel-girder Bridges for Proactive Repair and Emergency Planning
摘要：	The deteriorated conditions of retrofitted fatigue cracks on old multiple-steel-girder bridge connections can cause catastrophic consequences if the crack sizes go beyond the acceptable limits and therefore may require immediate action by bridge repair planners and emergency responders. Extensive efforts have been devoted to investigating the causes behind fatigue crack initiation and growth in girder-steel bridges, and several retrofit repair schemes have been suggested and implemented in the field with varying levels of success. One effective way to stop fatigue crack growth involves drilling holes near the crack tips; however, due to uncertainties in operational loading conditions and optimal hole size, cracks can grow around these holes and cause potentially dangerous scenarios. Fatigue cracks can grow quickly and cause unexpected damage before the traditional biennial inspection can take place. Therefore, it is critical to remotely detect fatigue crack reinitiation and growth at retrofit connections to help emergency responders and repair planners determine the action that has to be taken. In the proposed project, an experimental-numerical vibration-based damage-detection methodology will be evaluated with respect to its effectiveness in capturing and predicting fatigue crack reinitiation and propagation of retrofit connections. Extended finite element (X-FEM) models of the retrofit connections will be developed in which fatigue crack growth around circular holes can be modeled and investigated. The goal of this work is to help highway bridge repair and maintenance teams develop more cost-effective repair plans and safer infrastructures. Preliminary results of a current vibration-based damage-detection methodology are very promising when it comes to the method's ability to detect fatigue cracks in field applications.
状态：	Completed
资金：	29578.00
资助组织：	Research and Innovative Technology Administration
执行机构：	University of Iowa, Iowa City
开始时间：	20130701
实际结束时间：	20141231
主题领域：	Bridges and other structures；Design；Highways；Maintenance and Preservation；Planning and Forecasting