STTR Phase II: Long-Gage Fiber Bragg Sensors for Structural Health Monitoring and Damage Identification

这个小型企业技术转移（STTR）二期项目将进一步探索将长尺寸光纤布拉格光栅应变传感器与基于振动的系统识别技术结合起来，用于土木结构的健康监测和损伤识别。在第一阶段，基于小尺度结构模型的静态和动态实验室实验，展示了概念验证。在第二阶段的工作中，将对俄勒冈州和加利福尼亚州确定的桥梁进行现场测试，以进一步验证这种非常有前途的结构健康监测和损伤识别工具。这些桥梁提供了独特的机会，因为其中两座桥梁计划拆除，两个州交通部门都同意支持测试，因为这些桥梁被系统地损坏，以提供真实的损坏识别系统测试。这些现场试验将是为结构健康监测和损伤识别系统未来商业化提供可行性数据的重要一步。一旦提出的方法在现场应用中得到调试和验证，加州和俄勒冈州的DOT将强烈考虑将其广泛应用于其结构健康监测和桥梁修复计划中。所提出的结构健康监测与损伤识别系统，为土木基础设施系统健康状况监测、修复资源优化配置、特定缺陷土木结构修复方案优化设计、修复措施效果评估等三重问题提供了非常有前景的先进解决方案。

This Small Business Technology Transfer (STTR) Phase II project will further explore the use of long-gage fiber Bragg grating strain sensors in conjunction with vibration-based system identification techniques forhealth monitoring and damage identification of civil structures. In phase I, the proof of concept was shown based on static and dynamic laboratory experiments on small-scale structural models. In this Phase II effort, field tests on bridges identified in Oregon and California will be performed to further validate this very promising tool for structural health monitoring and damage identification. These bridges provide unique opportunities as two of them are scheduled for demolition and both State Departments of Transportation have agreed to support testing as these bridges are systematically damaged to provide a true real-world test of the damage identification system. These field tests will be an important step in providing feasibility data for future commercialization of the structural health monitoring and damage identification system. Once the proposed methods are debugged and validated for field applications, the California and Oregon DOT's will strongly consider adopting them for widespread use in their structural health-monitoring and bridge rehabilitation programs.The proposed structural health monitoring and damage identification system offers very promising advanced solutions to the triple problem of: (1) monitoring the state-of-health of the civil infrastructure system for optimum allocation of rehabilitation resources, (2) optimally designing the rehabilitation scheme for a specific deficient civil structure, and (3) evaluating the efficacy of the rehabilitation measure.