Self-powered weigh-in-motion system combining vibration energy harvesting and self-sensing composite pavements

TL;DR

This paper introduces a novel self-powered weigh-in-motion system that combines smart pavements with vibration energy harvesting, demonstrating laboratory feasibility for traffic load identification without external power sources.

Contribution

It presents a new self-sustainable WIM technology integrating smart pavements and vibration energy harvesting, including a self-powered data system and novel fabrication/testing methods.

Findings

Feasibility of piezoelectric energy harvesting from traffic vibrations

Development of a self-powered data acquisition system

Laboratory validation of traffic load identification

Abstract

Overloaded vehicles are the primary cause of accelerated degradation of road infrastructures. In this context, although weigh-in-motion (WIM) systems are most efficient to enforce weight regulations, current technologies require costly investments limiting their extensive implementation. Recent advances in multifunctional composites enabled cost-efficient alternatives in the form of smart pavements. Nevertheless, the need for a stable power supply still represents a major practical limitation. This work presents a novel proof-of-concept self-sustainable WIM technology combining smart pavements and vibration-based energy harvesting (EH). The feasibility of piezoelectric bimorph cantilevered beams to harvest traffic-induced vibrations is firstly investigated, followed by the demonstration of the proposed technology under laboratory conditions. The main original contributions of this work comprise (i) the development of a new self-powered data acquisition system, (ii) a novel approach for the fabrication and electromechanical testing of the piezoresistive composite pavement, and (iii) laboratory feasibility analysis of the developed EH unit to conduct traffic load identification through electrical resistivity measurements of the smart pavement. While the presented results conclude the need for dense EH networks or combinations of different EH technologies to attain complete self-sustainability, this work represents an initial feasibility evidence paving the way towards the development of self-powered low-cost WIM systems.