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논문 기본 정보

자료유형
학술저널
저자정보
Hoag, Adam (Department of Civil Engineering, Queen's University) Hoult, Neil A. (Department of Civil Engineering, Queen's University) Take, W. Andy (Department of Civil Engineering, Queen's University) Moreu, Fernando (Department of Civil Engineering, University of New Mexico, Centennial Engineering Center) Le, Hoat (Bridge Assessment, CN Rail) Tolikonda, Vamsi (Bridge Assessment, CN Rail)
저널정보
테크노프레스 Smart structures and systems Smart structures and systems 제19권 제2호
발행연도
2017.1
수록면
225 - 236 (12page)

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Railroad bridges in North America are an integral but aging part of the railroad network and are typically only monitored using visual inspections. When quantitative information is required for assessment, railroads often monitor bridges using accelerometers. However without a sensor to directly measure displacements, it is difficult to interpret these results as they relate to bridge performance. Digital Image Correlation (DIC) is a non-contact sensor technology capable of directly measuring the displacement of any visible bridge component. In this research, a railroad bridge was monitored under load using DIC and accelerometers. DIC measurements are directly compared to serviceability limits and it is observed that the bridge is compliant. The accelerometer data is also used to calculate displacements which are compared to the DIC measurements to assess the accuracy of the accelerometer measurements. These measurements compared well for zero-mean lateral data, providing measurement redundancy and validation. The lateral displacements from both the accelerometers and DIC at the supports were then used to determine the source of lateral displacements within the support system.

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