Feasibility Study for Using Piezoelectric-Based Weigh-In-Motion (WIM) System on Public Roadway

Weigh-in-Motion system has been the primary selection of U.S. government agencies as the weighing enforcement for decades to protect the road pavement. In recent years, the number of trucks has increased by about 40% and in 2017, they travel 25% more annually than in 2016. The lack of the budget has slowed down the expansion of weighing enforcement to catch up with the growing workload of vehicle weighing. Unsupervised pavement section suffers more pavement damage and increased repairing cost. In this work, a piezoelectric material based WIM system (P-WIM) is developed. Such a system consists of several piezoelectric material disks that are capable of generating characteristic voltage output from passing vehicles. The axle loading of the vehicle can be determined by analyzing the voltage generated from the P-WIM. Compared to traditional WIM system, P-WIM requires nearly zero maintenance and costs 80% less on capital investment and less labor and effort to integrate. To evaluate the feasibility of this technology to serve as weighing enforcement on public roadways, prototype P-WIMs are fabricated and installed at a weigh station. The vehicle loading information provided by the weigh station is used to determine the force transmission percentage of the installed P-WIMs, which is an important parameter to determine the vehicles’ axle loading by generated voltage.

[1]  Gang Li,et al.  Feasibility of energy harvesting for powering wireless sensors in transportation infrastructure applications , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[2]  Cristian Druta,et al.  Piezoelectric Energy Harvesting from Traffic Induced Deformation of Pavements , 2012 .

[3]  Meng Guo,et al.  Quasi-Brittle Fracture Modeling of Preflawed Bitumen Using a Diffuse Interface Model , 2016 .

[4]  Haocheng Xiong,et al.  Piezoelectric energy harvester for public roadway: On-site installation and evaluation , 2016 .

[5]  De-Cheng Feng,et al.  Development of a bridge weigh-in-motion method considering the presence of multiple vehicles , 2019, Engineering Structures.

[6]  Sung Han,et al.  Poly (vinylidene fluoride) transducers with highly conducting poly (3,4-ethylenedioxythiophene) electrodes , 2005 .

[7]  Alper Erturk,et al.  Electromechanical Modeling of Piezoelectric Energy Harvesters , 2009 .

[8]  Michael J. Anderson,et al.  Efficiency of energy conversion for devices containing a piezoelectric component , 2004 .

[9]  Meng Guo,et al.  Fractal Analysis on Asphalt Mixture Using a Two-Dimensional Imaging Technique , 2016 .

[10]  David Cebon,et al.  Handbook of vehicle-road interaction , 1999 .

[11]  Michel Ghosn,et al.  Protocols for Collecting and Using Traffic Data in Bridge Design , 2008 .

[12]  Piotr Burnos,et al.  The Effect of Flexible Pavement Mechanics on the Accuracy of Axle Load Sensors in Vehicle Weigh-in-Motion Systems , 2017, Sensors.

[13]  Daniel J. Inman,et al.  Energy Harvesting Technologies , 2008 .

[14]  C. S. Cai,et al.  Equivalent Shear Force Method for Detecting the Speed and Axles of Moving Vehicles on Bridges , 2018, Journal of Bridge Engineering.

[15]  Raj Bridgelall,et al.  Optimal System Design for Weigh-In-Motion Measurements Using In-Pavement Strain Sensors , 2017, IEEE Sensors Journal.

[16]  S Priya,et al.  Criterion for material selection in design of bulk piezoelectric energy harvesters , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[17]  Bala Sivakumar,et al.  Enhancement of Bridge Live Loads Using Weigh-in-motion Data , 2007 .

[18]  Norm Lindgren,et al.  THE IMPORTANCE OF COMMERCIAL VEHICLE WEIGHT ENFORMCEMENT IN SAFETY AND ROAD ASSET MANAGEMENT , 2000 .

[19]  Pravin Varaiya,et al.  In-pavement wireless sensor network for vehicle classification , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[20]  Henry A. Sodano,et al.  A review of power harvesting using piezoelectric materials (2003–2006) , 2007 .

[21]  Farhad Ansari,et al.  Sensing issues in civil structural health monitoring , 2005 .