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Probabilistic bridge weigh-in-motion

Obrien, Eugene J., Zhang, Longwei, Zhao, Hua and Hajializadeh, Donya (2018) Probabilistic bridge weigh-in-motion Canadian Journal of Civil Engineering, 45 (8). pp. 667-675.

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Conventional bridge weigh-in-motion (BWIM) uses a bridge influence line to find the axle weights of passing vehicles that minimize the sum of squares of differences between theoretical and measured responses. An alternative approach, probabilistic bridge weigh-in-motion (pBWIM), is proposed here. The pBWIM approach uses a probabilistic influence line and seeks to find the most probable axle weights, given the measurements. The inferred axle weights are those with the greatest probability amongst all possible combinations of values. The measurement sensors used in pBWIM are similar to BWIM, containing free-of-axle detector sensors to calculate axle spacings and vehicle speed and weighing sensors to record deformations of the bridge. The pBWIM concept is tested here using a numerical model and a bridge in Slovenia. In a simulation, 200 randomly generated 2-axle trucks pass over a 6 mlong simply supported beam. The bending moment at mid-span is used to find the axle weights. In the field tests, 77 pre-weighed trucks traveled over an integral slab bridge and the strain response in the soffit at mid-span was recorded. Results show that pBWIM has good potential to improve the accuracy of BWIM. © 2018, Canadian Science Publishing. All rights reserved.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
Obrien, Eugene J.
Zhang, Longwei
Zhao, Hua
Date : 25 February 2018
DOI : 10.1139/cjce-2017-0508
Uncontrolled Keywords : Bridge interaction finite element, Bridge load modelling, Bridge weigh-in-motion (BWIM), Probabilistic bridge weigh-in-motion (PBWIM), Vehicle, Vehicle loading, Automobiles, Axles, Trucks, Vehicles, Bridge loads, Influence lines, Measurement sensor, Probabilistic bridge weigh-in-motion (PBWIM), Simply supported beams, Strain response, Sum of squares, Vehicle loading, Weigh-in-motion (WIM), accuracy assessment, bending, finite element method, modeling, numerical model, probability, sensor, transport vehicle, Slovenia
Depositing User : Diane Maxfield
Date Deposited : 25 Mar 2019 12:23
Last Modified : 25 Mar 2019 12:23

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