Moving force identification for real-time bridge weigh-in-motion

2019 ◽  
Vol 14 (4) ◽  
pp. 139-145 ◽  
Author(s):  
Yahya M. Mohammed ◽  
Nasim Uddin ◽  
Eugene J. Obrien
Keyword(s):  
Real Time ◽  
Force Identification ◽  
Moving Force ◽  
Weigh In Motion ◽  
Bridge Weigh In Motion

scholarly journals Experimental Testing of a Moving Force Identification Bridge Weigh-in-Motion Algorithm

2008 ◽  
Vol 49 (5) ◽  
pp. 743-746 ◽  
Author(s):  
C. W. Rowley ◽  
E. J. OBrien ◽  
A. Gonzalez ◽  
A. Žnidarič
Keyword(s):  
Experimental Testing ◽  
Force Identification ◽  
Moving Force ◽  
Weigh In Motion ◽  
Bridge Weigh In Motion

scholarly journals Bridge weigh-in-motion using a moving force identification algorithm

2017 ◽  
Vol 199 ◽  
pp. 2955-2960 ◽  
Author(s):  
Paul C. Fitzgerald ◽  
Enrique Sevillano ◽  
Eugene J. OBrien ◽  
Abdollah Malekjafarian
Keyword(s):  
Identification Algorithm ◽  
Force Identification ◽  
Moving Force ◽  
Weigh In Motion ◽  
Bridge Weigh In Motion

scholarly journals A Novel Acceleration-Based Moving Force Identification Algorithm to Detect Global Bridge Damage

2021 ◽  
Vol 11 (16) ◽  
pp. 7271
Author(s):  
Shuo Wang ◽  
Eugene J. OBrien ◽  
Daniel P. McCrum
Keyword(s):  
Interaction Model ◽  
Sensitivity Study ◽  
Identification Algorithm ◽  
Force Identification ◽  
Damage Level ◽  
Moving Force ◽  
Weigh In Motion ◽  
Vehicle Velocity ◽  
Gross Vehicle Weight ◽  
Bridge Damage

This paper presents a new moving force identification (MFI) algorithm that uses measured accelerations to infer applied vehicle forces on bridges. Previous MFI algorithms use strain or deflection measurements. Statistics of the inferred forces are used in turn as indicators of global bridge damage. The new acceleration-based MFI algorithm (A-MFI) is validated through numerical simulations with a coupled vehicle-bridge dynamic interaction model programmed in MATLAB. A focussed sensitivity study suggests that results are sensitive to the accuracy of the vehicle velocity data. The inferred Gross Vehicle Weight (GVW), calculated by A-MFI, is proposed as the bridge damage indicator. A real weigh-in-motion database is used with a simulation of vehicle/bridge interaction, to validate the concept. Results show that the standard deviation of inferred GVWs has a good correlation with the global bridge damage level.

scholarly journals B-WIM SYSTEM USING FEWER SENSORS

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yahya M. Mohammed ◽  
Nasim Uddin
Keyword(s):  
Response Accuracy ◽  
Quarter Car Model ◽  
Moving Force ◽  
Car Model ◽  
Traffic Loads ◽  
Modal Response ◽  
Weigh In Motion ◽  
Bridge Weigh In Motion ◽  
Proper Orthogonal ◽  
Measured Response

Bridge Weigh-in-Motion (B-WIM) is the concept of using measured response on a bridge to calculate the static weights of passing traffic loads as they pass overhead at full highway speed. This paper describes an enhancement to the Moving Force Identification (MFI) algorithm by estimating the response of some DOFs using limited number of measurements in order to increase measurements number (Input). The pseudoinverse of the mode shape matrix has been utilized to approximately calculate the modal response using limited measured response. Then the calculated modal response has been used to estimate more DOFs that are different from the measured one. The proper orthogonal decomposition (POD) technique is employed to determine the governing modes that increase the modal response accuracy. Numerical example for quarter car model passing over simply supported bridge has been established to demonstrate the idea.

scholarly journals Comparative Accuracy Analysis of Truck Weight Measurement Techniques

2021 ◽  
Vol 11 (2) ◽  
pp. 745
Author(s):  
Sylwia Stawska ◽  
Jacek Chmielewski ◽  
Magdalena Bacharz ◽  
Kamil Bacharz ◽  
Andrzej Nowak
Keyword(s):  
Measurement Techniques ◽  
Highway Traffic ◽  
Highway Infrastructure ◽  
Measurement Systems ◽  
Motion System ◽  
Weigh In Motion ◽  
Comparative Accuracy ◽  
Bridge Weigh In Motion ◽  
Rational Management ◽  
Truck Weight

Roads and bridges are designed to meet the transportation demands for traffic volume and loading. Knowledge of the actual traffic is needed for a rational management of highway infrastructure. There are various procedures and equipment for measuring truck weight, including static and in weigh-in-motion techniques. This paper aims to compare four systems: portable scale, stationary truck weigh station, pavement weigh-in-motion system (WIM), and bridge weigh-in-motion system (B-WIM). The first two are reliable, but they have limitations as they can measure only a small fraction of the highway traffic. Weigh-in-motion (WIM) measurements allow for a continuous recording of vehicles. The presented study database was obtained at a location that allowed for recording the same traffic using all four measurement systems. For individual vehicles captured on a portable scale, the results were directly compared with the three other systems’ measurements. The conclusion is that all four systems produce the results that are within the required and expected accuracy. The recommendation for an application depends on other constraints such as continuous measurement, installation and operation costs, and traffic obstruction.

Study on bridge weigh in motion (BWIM) system for measuring the vehicle parameters based on strain measurement using FBG sensors

2021 ◽  
Vol 61 ◽  
pp. 102440
Author(s):  
Sravanthi Alamandala ◽  
R.L.N. Sai Prasad ◽  
Rathish Kumar Pancharathi ◽  
V.D.R. Pavan ◽  
P. Kishore
Keyword(s):  
Strain Measurement ◽  
Weigh In Motion ◽  
Bridge Weigh In Motion ◽  
Fbg Sensors

Moving force identification based on redundant concatenated dictionary and weighted l1-norm regularization

2018 ◽  
Vol 98 ◽  
pp. 32-49 ◽  
Author(s):  
Chu-Dong Pan ◽  
Ling Yu ◽  
Huan-Lin Liu ◽  
Ze-Peng Chen ◽  
Wen-Feng Luo
Keyword(s):  
L1 Norm ◽  
Force Identification ◽  
Moving Force

Virtual Monitoring of orthotropic steel deck using bridge weigh-in-motion algorithm: Case study

2018 ◽  
Vol 18 (2) ◽  
pp. 610-620 ◽  
Author(s):  
Longwei Zhang ◽  
Hua Zhao ◽  
Eugene J OBrien ◽  
Xudong Shao
Keyword(s):  
Field Tests ◽  
Life Assessment ◽  
Dynamic Strain ◽  
Orthotropic Steel Deck ◽  
Remaining Service Life ◽  
Fatigue Life Assessment ◽  
Weigh In Motion ◽  
Gross Vehicle Weight ◽  
Bridge Weigh In Motion ◽  
Steel Deck

This article outlines a Virtual Monitoring approach for fatigue life assessment of orthotropic steel deck bridges. Bridge weigh-in-motion was used to calculate traffic loads which were then used to calculate “virtual” strains. Some of these strains were checked through long-term monitoring of dynamic strain data. Field tests, incorporating calibration with pre-weighed trucks and monitoring the response to regular traffic, were conducted at Fochen Bridge, which has an orthotropic steel deck and is located in Foshan City, China. In the calibration tests, a 45-t 3-axle truck ran repeatedly across Lane 2, the middle lane in a 3-lane carriageway. The results show that using an influence surface to weigh vehicles can improve the accuracy of the weights and, by inference, of remaining service life calculations. The most fatigue-prone position was found to be at the cutout in the diaphragms. Results show that many vehicles are overweight—the maximum gross vehicle weight recorded was 148 t, nearly 3.6 times heavier than the fatigue design truck.

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