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" WIM Based Live Load Factors for Consistent Illinois Bridge Reliability "
Chi, Jingya
Fu, Gongkang
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Latin Dissertation
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| Language of Document
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English
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| Record Number
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1104869
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| Doc. No
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TLpq2275498818
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| Main Entry
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Chi, Jingya
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Fu, Gongkang
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| Title & Author
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WIM Based Live Load Factors for Consistent Illinois Bridge Reliability\ Chi, JingyaFu, Gongkang
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| College
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Illinois Institute of Technology
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| Date
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2019
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| student score
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2019
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| Degree
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Ph.D.
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| Page No
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552
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| Abstract
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The Load and Resistance Factor Rating (LRFR) approach was developed in the early 2000s. The live-load factors were calibrated at that time so that bridges rated by the LRFR approach could achieve a uniform structural reliability. However, the first calibration of the live-load factors was intent on the applications to the entire nation, without considering state-specific traffic conditions and truck restrictions. In addition, the calibration was carried out using limited data collected from the weigh stations of Ontario, Canada, in the 1970s. Therefore, to develop a practice that is consistent with the current LRFR approach as well as considering the state-specific live-load effects has motivated us to conduct this study. We study the weigh-in-motion (WIM) data that have been collected by the Department of Transportation of several states (i.e., Michigan, New York, Minnesota, California, Illinois, Oregon, Kentucky and Pennsylvania). These data contain approximate four years (i.e., from 2013 to 2017) of continuously-recorded trucks. They provide the information about truck weight and configuration, as well as the truck traffic pattern. In this research, we focus on the data collected by the Illinois DOT to calibrate live-load factors for the Illinois LRFR highway bridge evaluation. We first propose and verify a simulation method to statistically restore the missing trucks in the second lanes in the Illinois data. Based on the concept of relative calibration, we propose 3 sets of live-load factors for the Illinois legal, routine permit and special permit load ratings. Then we conduct a sensitivity analysis on the overweight trucks. Finally, we study the effect of law enforcement on the calibration.
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Civil engineering
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Engineering
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