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Instrumentation, Digital Image Correlation, and Modeling to Monitor Bridge Behavior and Condition Assessment.

机译:仪表,数字图像相关和建模,以监测桥梁行为和状态评估。

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Bridge managers have historically relied on visual inspection reports and field observation, including photographs, to assess bridge health. The inclusion of instrumentation, including strain gauges, along with a structural model can enhance bridge management. This combination of instrumentation and modeling is commonly classified as Structural Health Monitoring (SHM). Traditional SHM measurements are reference-independent, such as strain gauges. These sensors can be easily installed and provided valuable information for bridge condition assessment, including neutral axis location. The collection of global deflection of a bridge, a reference-dependent measurement, is more difficult to collect as the connection between the bridge structure and a fixed reference is geometrically challenging. A measurement technique that alleviates this issue is digital image correlation. Through recent advances in digital photography and the computational capability of personal computers, Digital Image Correlation (DIC) is a non-contact measurement technique that can be cost-effectively deployed to collect global deflection measurements of a bridge structure. DIC uses multiple digital cameras to photograph a target object to provide structural response information. This project incorporates a DIC system into the bridge instrumentation and testing program for a concrete deck-steel girder composite bridge, Bagdad Road over US Route 4, in Durham, New Hampshire. This report presents the instrumentation selection, sensors location planning and deployment, structural testing, DIC measurement for displacement, and strain measurements in both laboratory and field experiments. This report also includes a detailed structural model that is calibrated with collected field structural response data for bridge decision-making and management.

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