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Long-Term Structural Performance Monitoring of Bridges. Phase II: Development of Baseline Model and Methodology for Health Monitoring and Damage Assessment. Final rept.
| 题名： | Long-Term Structural Performance Monitoring of Bridges. Phase II: Development of Baseline Model and Methodology for Health Monitoring and Damage Assessment. Final rept. |
| 作者： | Feng-M.Q.; Fukuda-Y.; Chen-Y.; Soyoz-S.; Lee-S. |
| 关键词： | *Bridges-Structures; *Highway-bridges; *Structural-vibration; *Sensors-.;Monitoring-; Stiffness-; Indicators-; Structural-elements; Long-term-; Baseline-models; Baseline-methodology; Damage-assessments. |
| 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, 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. Some 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. |
| 报告类型： | 科技报告 |
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