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    Predicting Truck Load Spectra under Weight Limit Changes and Its Application to Steel Bridge Fatigue Assessment

    Source: Journal of Bridge Engineering:;2003:;Volume ( 008 ):;issue: 005
    Author:
    Harry Cohen
    ,
    Gongkang Fu
    ,
    Wassem Dekelbab
    ,
    Fred Moses
    DOI: 10.1061/(ASCE)1084-0702(2003)8:5(312)
    Publisher: American Society of Civil Engineers
    Abstract: Truck weight-limit regulations have significant influence on truck operating weights. These regulations directly influence loads applied to highway facilities, such as bridges and pavements. “Truck weight” herein collectively refers to a vehicle’s gross weight, axle weights, and axle configuration. Truck load spectra as a result of truck weight limits are important to bridge engineering in many respects, such as that of determining requirements for evaluation and design of bridges for both strength and fatigue. This paper’s objective is to present a new method for predicting truck weight spectra resulting from a change in truck weight limits. This method is needed to estimate impacts of the change on highway bridges such as accelerated fatigue accumulation. Historical and recent truck weight data are used to test and illustrate the proposed method, and the results show its good prediction capability. This method is also applied here to an example of estimating the impact on steel bridge fatigue due to a possible increase in the gross-vehicle-weight limit from 356 kN (80 kips) on five axles to 431 kN (97 kips) on six axles. Also included is an investigation of the AASHTO fatigue truck model for steel bridge evaluation. Results show that the current fatigue truck model may become invalid under the studied scenario of truck weight-limit increase.
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      Predicting Truck Load Spectra under Weight Limit Changes and Its Application to Steel Bridge Fatigue Assessment

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    http://yetl.yabesh.ir/yetl1/handle/yetl/50694
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    • Journal of Bridge Engineering

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    contributor authorHarry Cohen
    contributor authorGongkang Fu
    contributor authorWassem Dekelbab
    contributor authorFred Moses
    date accessioned2017-05-08T21:25:07Z
    date available2017-05-08T21:25:07Z
    date copyrightSeptember 2003
    date issued2003
    identifier other%28asce%291084-0702%282003%298%3A5%28312%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/50694
    description abstractTruck weight-limit regulations have significant influence on truck operating weights. These regulations directly influence loads applied to highway facilities, such as bridges and pavements. “Truck weight” herein collectively refers to a vehicle’s gross weight, axle weights, and axle configuration. Truck load spectra as a result of truck weight limits are important to bridge engineering in many respects, such as that of determining requirements for evaluation and design of bridges for both strength and fatigue. This paper’s objective is to present a new method for predicting truck weight spectra resulting from a change in truck weight limits. This method is needed to estimate impacts of the change on highway bridges such as accelerated fatigue accumulation. Historical and recent truck weight data are used to test and illustrate the proposed method, and the results show its good prediction capability. This method is also applied here to an example of estimating the impact on steel bridge fatigue due to a possible increase in the gross-vehicle-weight limit from 356 kN (80 kips) on five axles to 431 kN (97 kips) on six axles. Also included is an investigation of the AASHTO fatigue truck model for steel bridge evaluation. Results show that the current fatigue truck model may become invalid under the studied scenario of truck weight-limit increase.
    publisherAmerican Society of Civil Engineers
    titlePredicting Truck Load Spectra under Weight Limit Changes and Its Application to Steel Bridge Fatigue Assessment
    typeJournal Paper
    journal volume8
    journal issue5
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)1084-0702(2003)8:5(312)
    treeJournal of Bridge Engineering:;2003:;Volume ( 008 ):;issue: 005
    contenttypeFulltext
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