• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Long-Term Structural Performance Monitoring of Bridges Phase II: Development of Baseline Model and Methodology for Health Monitoring and Damage Assessment
【24h】

Long-Term Structural Performance Monitoring of Bridges Phase II: Development of Baseline Model and Methodology for Health Monitoring and Damage Assessment

机译：桥梁的长期结构性能监测第二阶段：健康监测和损害评估的基线模型和方法的发展

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This project explores the use of the sensor technology for long-term bridge structural health monitoring. In Phase I of the project, sensors were installed on two highway bridges, and vibration data analysis was reported in a Caltrans technical report. In this Phase-II study, an additional highway bridge was instrumented, but the focus was on to develop methodologies for analyzing the sensor data and diagnosing the on-going health of the structure. Stiffness of structural elements of a bridge is considered as an indicator of structural health. As a structure deteriorates due to aging or suffers from damage caused by extreme loads such as earthquakes, stiffness of the damaged structural elements would decrease, and as a result, the global vibration characteristics of the structure would change. Therefore, by monitoring the structural vibration, one can identify the change in structural vibration characteristics and then further identify the element stiffness. A number of system identification methods were developed in this study for identifying the structural element stiffness based on measurement of bridge vibrations caused by traffic and seismic excitations. A unique traffic excitation model was proposed for more reliable stiffness identification based on traffic-induced vibrations. The effectiveness of these methods in evaluating seismic damage on a bridge structure was demonstrated through seismic shaking table tests of a multi-bent multi-column concrete bridge model. Long-term monitoring data from the instrumented bridges were analyzed and developed into a structural stiffness database using a software platform developed in this study.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号