Weigh-In-Motion System in Flexible Pavements Using Fiber Bragg Grating Sensors Part A: Concept

Weight data of vehicles play an important role in traffic planning, weight enforcement, and pavement condition assessment. In this paper, a weigh-in-motion (WIM) system that functions at both low-speeds and high-speeds in flexible pavements is developed based on in-pavement, three-dimensional glass-fiber-reinforced, polymer-packaged fiber Bragg grating sensors (3D GFRP-FBG). Vehicles passing over the pavement produce strains that the system monitors by measuring the center wavelength changes of the embedded 3D GFRP-FBG sensors. The FBG sensor can estimate the weight of vehicles because of the direct relationship between the loading on the pavement and the strain inside the pavement. A sensitivity study shows that the developed sensor is very sensitive to sensor installation depth, pavement property, and load location. Testing in the field validated that the longitudinal component of the sensor if not corrected by location has a measurement accuracy of 86.3% and 89.5% at 5 mph and 45 mph vehicle speed, respectively. However, the system also has the capability to estimate the location of the loading position, which can enhance the system accuracy to more than 94.5%.

[1]  T. K. Gangopadhyay,et al.  Fibre Bragg gratings in structural health monitoring—Present status and applications , 2008 .

[2]  Ying Huang,et al.  Glass fiber-reinforced polymer packaged fiber Bragg grating sensors for low-speed weigh-in-motion measurements , 2016 .

[3]  Raj Bridgelall,et al.  Sampling optimization for high-speed weigh-in-motion measurements using in-pavement strain-based sensors , 2015 .

[4]  Denver Tolliver,et al.  Vehicle Classification System Using In-Pavement Fiber Bragg Grating Sensors , 2018, IEEE Sensors Journal.

[5]  Mu'ath Al-Tarawneh,et al.  In-pavement fiber Bragg grating sensor for vehicle speed and wheelbase estimation , 2018, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[6]  Jongsung Sim,et al.  Interface debonding failure in beams strengthened with externally bonded GFRP , 2004 .

[7]  Piotr Burnos,et al.  Thermal Property Analysis of Axle Load Sensors for Weighing Vehicles in Weigh-in-Motion System , 2016, Sensors.

[8]  Ying Huang,et al.  Glass fiber–reinforced polymer–packaged fiber Bragg grating sensors for ultra-thin unbonded concrete overlay monitoring , 2015 .

[9]  Norman W. Garrick,et al.  A Special Fiber Optic Sensor for Measuring Wheel Loads of Vehicles on Highways , 2008, Sensors.

[10]  Zhi Zhou,et al.  Optical fiber Bragg grating sensor assembly for 3D strain monitoring and its case study in highway pavement , 2012 .

[11]  H F Southgate Sensitivity Study of 1986 AASHTO Guide for Design of Pavement Structures , 1991 .

[12]  O K Norman,et al.  Weighing vehicles in motion , 1952 .

[13]  Patrick J Szary,et al.  Implementation of Weigh-in-Motion (WIM) Systems , 2009 .

[14]  L Zhang,et al.  Evaluating Weigh-In-Motion Sensing Technology for Traffic Data Collection , 2007 .

[15]  K. Hill,et al.  Photosensitivity in optical fiber waveguides: Application to reflection filter fabrication , 1978 .

[16]  Tommy Nantung,et al.  Analysis and Determination of Axle Load Spectra and Traffic Input for the Mechanistic-Empirical Pavement Design Guide , 2008 .

[17]  Andrew J. Pratt,et al.  Weigh In Motion Technology - Economics and Performance , 1998 .

[18]  Shahram Hashemi Vaziri Investigation of Environmental Impacts on Piezoelectric Weigh-In-Motion Sensing System , 2011 .