Using weigh-in-motion data for modeling maximum live load effects on highway bridges

2010 ◽  
pp. 208-208 ◽  
Author(s):  
M Ghosn ◽  
B Sivakumar
Keyword(s):  
Highway Bridges ◽  
Live Load ◽  
Motion Data ◽  
Weigh In Motion ◽  
Load Effects

Impact of Specialized Hauling Vehicles and Emergency Vehicles on Bridge Load Rating

2021 ◽  
pp. 036119812110145
Author(s):  
Peng Lou ◽  
Chan Yang ◽  
Hani Nassif
Keyword(s):  
Highway Bridges ◽  
Extensive Literature ◽  
Load Rating ◽  
Motion Data ◽  
Weigh In Motion ◽  
Load Factors ◽  
Emergency Vehicles ◽  
Load Effects ◽  
Load Ratings ◽  
Bridge Load Rating

The Federal Highway Administration (FHWA) mandated states to adopt specialized hauling vehicles (SHVs) and emergency vehicles (EVs) in 2013 and 2016, respectively, in the load rating of bridges. Both the AASHTO single-unit trucks (SUs) and EVs are specially configured so that they may result in high load effects and can adversely affect bridge load rating factors. This paper investigates the impacts of rating these vehicles on the states’ bridge load ratings. An extensive literature review of the states’ load rating policies is performed. To determine whether any state can possibly be exempted from the new load ratings for SUs and EVs for Interstate highway bridges, the load effects of various state legal vehicles are analyzed and compared with those of SUs and EVs. The results of the study indicate the inevitability of executing the new load rating analysis for SUs and EVs for the vast majority of states. Weigh-in-motion data are processed to screen the potential EV traffic fleeting on the highway, and the calibrated live load factors are proposed for EVs accordingly. The load effects are found to be smaller than those FHWA originally assigned, improving the rating factors. Lastly, this paper proposes a screening tool to help state agencies to convert the known rating factors to the rating factors of SUs and EVs so that the load rating work can be prioritized for the bridges that are vulnerable to SUs and EVs.

Probabilistic assessment of live load effects on continuous span bridges with regular and irregular configurations and its design implications

2020 ◽  
Vol 47 (4) ◽  
pp. 405-417
Author(s):  
A.D. García-Soto ◽  
A. Hernández-Martínez ◽  
J.G. Valdés-Vázquez
Keyword(s):  
Probabilistic Assessment ◽  
Live Load ◽  
Load Model ◽  
Motion Data ◽  
Load Models ◽  
Weigh In Motion ◽  
Single Vehicle ◽  
Load Effects ◽  
Extreme Distribution ◽  
Live Load Model

Studies on live load effects reported in recent literature are based on simple span bridges or on a limited number of continuous span bridges and regular configurations. In this study, an extensive probabilistic assessment of live load effects on continuous bridges is carried out for regular and irregular span configurations using weigh-in-motion data. Single vehicle passage is considered, and live load effects are compared with those from a live load model developed for simple spans from the same database. Truck models from Canada are also used for comparison purposes. Discussion of the fitting of extreme distribution is included, and an optimization scheme for the fitting is proposed. The most important finding of the study is that the use of live load models developed from simple spans or a limited number of continuous spans may not be suitable for designing continuous bridges, especially those with irregular configurations and short spans.

scholarly journals Evaluation of a current vehicle load model using weigh-in-motion records: a case in China

2016 ◽  
Vol 11 (3) ◽  
pp. 197-204
Author(s):  
Zigang Xu ◽  
Qiang Han ◽  
Junfeng Jia ◽  
Zilan Zhong ◽  
Chao Huang
Keyword(s):  
Traffic Flow ◽  
Highway Bridges ◽  
Live Load ◽  
Flow Conditions ◽  
Load Model ◽  
Vehicle Load ◽  
Weigh In Motion ◽  
National Highway ◽  
Load Effects ◽  
Existing Bridges

In order to assess the vehicle load carrying capacity of existing bridges on the national highway G103 in Beijing, the vehicle load model for the practical traffic flow conditions needs to be determined. Based on the traffic axle load data measured by the weigh-in-motion system and the methods proposed by General Code for Design of Highway Bridges and Culverts (JTG D60-2004) and Code for Design of Highway Reinforced Concrete and Prestressed Concrete Bridges and Culverts (JTG D62-2004), the vehicle load parameters under practical traffic flow conditions are investigated. A typical 6-axle vehicle model with a 2-1-3 axial pattern is proposed by using the statistical analysis of total weight, axial weight, etc. The live load effects of Daliushu No. 2 Bridge, one highway bridge on the national highway G103, are analyzed using the proposed model and compared to the vehicle load model given in the Chinese code. The results show that there are great differences in the vehicle load parameters and the live load effects from the proposed vehicle load model increased by 20–50% compared with the model given by the code. The overweight vehicles are potential threats to the safety of existing bridges.

Modeling maximum live load effects on highway bridges

2008 ◽  
pp. 335-341 ◽  
Author(s):  
Bala Sivakumar ◽  
Fred Moses ◽  
Michel Ghosn
Keyword(s):  
Highway Bridges ◽  
Live Load ◽  
Load Effects

Reliability-Based Site-Specific Live Load Models for the Gordie Howe International Bridge

2019 ◽  
Author(s):  
Todd Ude ◽  
Y. Eddie He ◽  
Matt Chynoweth ◽  
Zaher Yousif
Keyword(s):  
Live Load ◽  
Simulation Studies ◽  
Traffic Patterns ◽  
Limit States ◽  
Site Specific ◽  
Motion Data ◽  
Load Models ◽  
Design Life ◽  
Weigh In Motion ◽  
Large Databases

<p>This paper discusses the development of project-specific live load models to achieve target reliability levels for the Gordie Howe International Bridge. This new bridge between Windsor, Ontario Canada and Detroit, Michigan USA will have a main span of 853 m (2800 ft), a design life of 125 years, and will experience atypical traffic patterns as a result of customs inspection plazas required at both ends of the bridge. Due to these variations relative to standard practice, large databases of weigh-in-motion data and simulation studies were used to modify the live load models of both country’s codes following the approach of NCHRP 683. The limit states addressed extend beyond the Strength 1 (ULS 1), to include high dead-to-live ratio combinations, and fatigue limit states.</p>

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