Abstract
In this paper, a systematic methodology for identifying damages in bridges is presented, which includes the baseline calibration through field testing data, damage simulation and identification, and an in-lab experimental verification of the model. Using the test data from an incompletely documented bridge 09-125-16 in Cass County North Dakota, a Grillage numerical model has been first created to simulate the bridge responses due to traffic loads, with the purpose to find an accurate baseline data. Through adjustment of boundary stiffness, a validated bridge model, matching the field test data, has been developed. Based on the chosen validated numerical model, numerical simulation of the corresponding bridge under different damage scenarios and traffic loads has been performed. Using the difference of the displacement mode shape data, a modified curvature method is suggested for identifying damages in bridges, which has been proven successful through the modeling results of bridges with fictitious damages. Following the numerical model development, an in-lab experiment of a steel plate with and without damages under impact forces has been adopted to produce vibration data through an accelerometer. The modified curvature has been then computed using the experimental mode shape data and its change has been found to correlate very well with the embedded damage as anticipated by the suggested theory.
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Yang, M., Zhong, H., Telste, M. et al. Bridge damage localization through modified curvature method. J Civil Struct Health Monit 6, 175–188 (2016). https://doi.org/10.1007/s13349-015-0150-7
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DOI: https://doi.org/10.1007/s13349-015-0150-7