Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading

Highway bridge load rating has been moving toward structural reliability since the issuance of AASHTO LRFR specifications; however, the recommended load factors were carried out by a few reliable truck data. The objective of this study is to calibrate the live load factor in AASHTO LRFR Rating Speci...

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Main Authors: Lang Liu, Qingyang Ren, Xu Wang
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2020/7347593
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spelling doaj-2a7b82c8064d4a5ab223edb3cfd9759f2020-11-25T02:47:37ZengHindawi LimitedAdvances in Civil Engineering1687-80861687-80942020-01-01202010.1155/2020/73475937347593Calibration of the Live Load Factor for Highway Bridges with Different Requirements of LoadingLang Liu0Qingyang Ren1Xu Wang2State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaState Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaState Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, ChinaHighway bridge load rating has been moving toward structural reliability since the issuance of AASHTO LRFR specifications; however, the recommended load factors were carried out by a few reliable truck data. The objective of this study is to calibrate the live load factor in AASHTO LRFR Rating Specification by using huge amount of WIM data collected in California for more than ten years between 2001 and 2013. Since traffic volumes, vehicular overloads, and traffic components are highly related to the load effect induced, a set of calibration equations is proposed here, in which the nominal standard load effect models are used and different requirements of loading are taken into account. By the analytical model of platoons of trucks and the extrapolation of the gathered WIM data over a short period of time to remote future over a longer time period, the expected maximum live load effects over the rating period of 5 years are also obtained. Then, the live load factor is calibrated as the product of the codified value multiplied by the ratio between the nominal standard load effect and the expected mean value. The results show that the products of the two ratios present rather constant, implying the proposed method and load configurations selected are effective. In the end, the live load factors of 1.0 and 0.7 along with load configurations are recommended for a simple span length less than 300 ft. The recommended calibration method and live load factors will eliminate the unnecessary overconservatism in rating specifications.http://dx.doi.org/10.1155/2020/7347593
collection DOAJ
language English
format Article
sources DOAJ
author Lang Liu
Qingyang Ren
Xu Wang
spellingShingle Lang Liu
Qingyang Ren
Xu Wang
Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
Advances in Civil Engineering
author_facet Lang Liu
Qingyang Ren
Xu Wang
author_sort Lang Liu
title Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
title_short Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
title_full Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
title_fullStr Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
title_full_unstemmed Calibration of the Live Load Factor for Highway Bridges with Different Requirements of Loading
title_sort calibration of the live load factor for highway bridges with different requirements of loading
publisher Hindawi Limited
series Advances in Civil Engineering
issn 1687-8086
1687-8094
publishDate 2020-01-01
description Highway bridge load rating has been moving toward structural reliability since the issuance of AASHTO LRFR specifications; however, the recommended load factors were carried out by a few reliable truck data. The objective of this study is to calibrate the live load factor in AASHTO LRFR Rating Specification by using huge amount of WIM data collected in California for more than ten years between 2001 and 2013. Since traffic volumes, vehicular overloads, and traffic components are highly related to the load effect induced, a set of calibration equations is proposed here, in which the nominal standard load effect models are used and different requirements of loading are taken into account. By the analytical model of platoons of trucks and the extrapolation of the gathered WIM data over a short period of time to remote future over a longer time period, the expected maximum live load effects over the rating period of 5 years are also obtained. Then, the live load factor is calibrated as the product of the codified value multiplied by the ratio between the nominal standard load effect and the expected mean value. The results show that the products of the two ratios present rather constant, implying the proposed method and load configurations selected are effective. In the end, the live load factors of 1.0 and 0.7 along with load configurations are recommended for a simple span length less than 300 ft. The recommended calibration method and live load factors will eliminate the unnecessary overconservatism in rating specifications.
url http://dx.doi.org/10.1155/2020/7347593
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AT qingyangren calibrationoftheliveloadfactorforhighwaybridgeswithdifferentrequirementsofloading
AT xuwang calibrationoftheliveloadfactorforhighwaybridgeswithdifferentrequirementsofloading
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