Numerical Analysis of Signal Response Characteristic of Piezoelectric Energy Harvesters Embedded in Pavement

Piezoelectric pavement energy harvesting is a technological approach to transform mechanical energy into electrical energy. When a piezoelectric energy harvester (PEH) is embedded in asphalt pavements or concrete pavements, it is subjected to traffic loads and generates electricity. The wander of the tire load and the positioning of the PEH affect the power generation; however, they were seldom comprehensively investigated until now. In this paper, a numerical study on the influence of embedding depth of the PEH and the horizontal distance between a tire load and the PEH on piezoelectric power generation is presented. The result shows that the relative position between the PEH and the load influences the voltage magnitude, and different modes of stress state change voltage polarity. Two mathematic correlations between the embedding depth, the horizontal distance, and the generated voltage were fitted based on the computational results. This study can be used to estimate the power generation efficiency, and thus offer basic information for further development to improve the practical design of PEHs in an asphalt pavement.

[1]  Daniele Davino,et al.  Modeling and Characterization of a Kinetic Energy Harvesting Device Based on Galfenol , 2019, Materials.

[2]  M. Oeser,et al.  Study on the reinforcement effect and the underlying mechanisms of a bitumen reinforced with recycled glass fiber chips , 2020 .

[3]  Hao Wang,et al.  Energy harvesting technologies in roadway and bridge for different applications – A comprehensive review , 2018 .

[4]  Meng Guo,et al.  Development in Stacked-Array-Type Piezoelectric Energy Harvester in Asphalt Pavement , 2017 .

[5]  Adelino Ferreira,et al.  Waynergy Vehicles: an innovative pavement energy harvest system , 2016 .

[6]  Qian Zhao,et al.  A preliminary study on the highway piezoelectric power supply system , 2017 .

[7]  A. Moure,et al.  Feasible integration in asphalt of piezoelectric cymbals for vibration energy harvesting , 2016 .

[8]  Grzegorz Litak,et al.  Modelling of Electromagnetic Energy Harvester with Rotational Pendulum Using Mechanical Vibrations to Scavenge Electrical Energy , 2020, Applied Sciences.

[9]  Pilar Ochoa,et al.  A New Prospect in Road Traffic Energy Harvesting Using Lead-Free Piezoceramics , 2019, Materials.

[10]  M. Oeser,et al.  Study of the influence of pavement unevenness on the mechanical response of asphalt pavement by means of the finite element method , 2018, Journal of Traffic and Transportation Engineering (English Edition).

[12]  M. Oeser,et al.  Investigation of the microstructural fracture behaviour of asphalt mixtures using the finite element method , 2019 .

[13]  Hongduo Zhao,et al.  A comparative analysis of piezoelectric transducers for harvesting energy from asphalt pavement , 2012 .

[14]  Markus Oeser,et al.  Application of semi-analytical finite element method to analyze the bearing capacity of asphalt pavements under moving loads , 2018 .

[15]  Yi Fan Sun,et al.  Laboratory Testing of Piezoelectric Bridge Transducers for Asphalt Pavement Energy Harvesting , 2011 .

[16]  M. Oeser,et al.  Numerical Study on Influence of Piezoelectric Energy Harvester on Asphalt Pavement Structural Responses , 2019, Journal of Materials in Civil Engineering.

[17]  L. Zhang,et al.  Performance evaluation of bitumen with a homogeneous dispersion of carbon nanotubes , 2020 .

[18]  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.

[19]  Bin Zhou,et al.  Investigation on the factors influencing the performance of piezoelectric energy harvester , 2017 .

[20]  Rui Huang,et al.  Analytical Electromechanical Modeling of Nanoscale Flexoelectric Energy Harvesting , 2019, Applied Sciences.

[22]  Hongduo Zhao,et al.  Finite element analysis of Cymbal piezoelectric transducers for harvesting energy from asphalt pavement , 2010 .

[23]  H. Ding,et al.  The fundamental solutions for transversely isotropic piezoelectricity and boundary element method , 1999 .

[24]  Z. Leng,et al.  Improving the polishing resistance of cement mortar by using recycled ceramic , 2020 .

[25]  M. Oeser,et al.  Numerical Simulation of Crack Propagation in Flexible Asphalt Pavements Based on Cohesive Zone Model Developed from Asphalt Mixtures , 2019, Materials.

[26]  Sihong Zhao,et al.  Energy harvesting from harmonic and noise excitation of multilayer piezoelectric stacks: modeling and experiment , 2013, Smart Structures.

[27]  M. Oeser,et al.  Rheological characterisation and modelling of bitumen containing reclaimed components , 2019 .

[28]  Hailu Yang,et al.  An investigation on stress distribution effect on multi- piezoelectric energy harvesters , 2017 .

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

[30]  Markus Oeser,et al.  Application of semi-analytical finite element method to analyze asphalt pavement response under heavy traffic loads , 2017 .

[31]  Adelino Ferreira Briefing: Recent developments in pavement energy harvest systems , 2012 .

[32]  Markus Oeser,et al.  Application of Finite Layer Method in Pavement Structural Analysis , 2017 .

[33]  Hong-Nan Li,et al.  Editorial for Special Issue “Energy Dissipation and Vibration Control: Materials, Modeling, Algorithm, and Devices” , 2020, Applied Sciences.

[34]  Erick O. Torres,et al.  Long-Lasting , Self-Sustaining , and Energy-Harvesting System-in-Package ( SiP ) Wireless Micro-Sensor Solution , 2014 .