Bridge Structural Identification for Condition Assessment: Collaborative Research

本项目的重点是探讨结构识别在将目前的半经验做法转变为合理的知识库方面的作用，从而为有效和最佳的基础设施设计、运营和管理铺平道路。将回答有关桥梁结构使用结构识别的基本问题。研究将主要集中在数据处理、质量保证、损伤评估和可靠性评估方面的结构识别。能够对结构鉴定进行有意义和实际应用的实验和分析工具目前才刚刚出现。辛辛那提地区的一座10年历史、188英尺长、三跨、两车道、整体式桥台、钢梁上钢筋混凝土桥面的试验桥已经进行了测试，以提供所需的测试数据。另一座大桥正在建设中，正在安装350多个传感器。加速度、位移、旋转、应变、温度、卡车载重和环境条件将通过智能监测系统进行长期监测。除了主动和被动传感器外，还将使用摄影测量图像处理技术。结构识别实验将包括：冲击模态试验、多输入强迫激励模态试验、几何监测、交通输入和操作响应、环境输入和环境响应、静力校验级多卡车加载等。将研究各种结构识别方法和分析工具。

This project focuses on exploring the role of structural identification in transforming the current semi-empirical practice to a rational knowledge-base, thereby paving the way for effective and optimum infrastructure designing operation and management. Fundamental questions pertaining to the use of structural identification for bridge structures will be answered. The research will be primarily focused on structural identification in terms of data processing, quality assurance, damage evaluation, and reliability evaluation. The experimental and analytical tools that permit meaningful and practical applications of structural identification are only presently emerging. A test bridge has already been instrumented which is a 10 year old, 188 ft long, three-span, two lane, integral abutment, reinforced concrete-deck-on-steel-girders overpass in the Cincinnati area to provide needed test data. Another bridge is under construction and is being instrumented with over 350 sensors. Accelerations, displacements, rotations, strains, temperatures, truck-loads and environmental conditions will be monitored over the long-term by intelligent monitoring systems. In addition to active and passive sensors, photogrammetric image-processing technologies will be used. The structural identification experiments will include: modal testing by impact, modal testing by multi-input forced-excitation, geometry-monitoring, traffic-inputs and operating responses, environmental inputs and ambient responses, static proof-level multiple truck-loading, etc. A wide variety of structural identification approaches and analytical tools will be studied.