Analyzing the Mechanical Response of a Calibrated Finite Element Model for Flexible Pavement with Embedded Dynamic Wireless Power Transfer Technology

Author:

Cruz Hector1,Moncada Oscar Andrés2ORCID,Jahangiri Behnam3ORCID,Tirado Cesar4ORCID,Nazarian Soheil1ORCID,Haddock John E.2ORCID

Affiliation:

1. Department of Civil Engineering, The University of Texas at El Paso, El Paso, TX

2. Department of Civil Engineering, Purdue University, West Lafayette, IN

3. Department of Civil Engineering, University Park, College Township, PA

4. Center for Transportation Infrastructure Systems, The University of Texas at El Paso, El Paso, TX

Abstract

Despite the increasing interest in embedding inductive wireless power transfer technology into pavements to power electric vehicles, limited research has been conducted on the mechanical behavior of such pavements under operating conditions. To address this knowledge gap, a numerical analysis tool for effectively evaluating pavements integrated with charging technology is needed. However, a comprehensive study is first necessary to assess the accuracy of numerical tools when simulating these pavement structures. This study evaluates the structural response of a numerical model of a three-layered flexible pavement with an embedded dynamic wireless power transfer system, adopting a linear elastic approach using a finite element analysis program. To calibrate the numerical model, a full-scale test section was instrumented with embedded strain gauges at critical positions relative to the charging unit (CU). The paper focuses on comparing the pavement response when subjected to falling weight deflectometer loading at those critical locations. The research entails formulating adjustment factors for numerical responses and examining key factors (e.g., materials’ interfacial bonding conditions and loading positions) that may significantly influence the pavement’s response. The estimated and experimental pavement responses showed an acceptable agreement when the load was applied on the full-depth hot-mix asphalt (HMA), but discrepancies occurred when the load position was directly above the CU–HMA interface. To adjust the estimated pavement responses, different CU–HMA interfacial bonding conditions were considered. The results demonstrate the importance of considering realistic bonding conditions in numerical simulations to improve accuracy in estimating pavement responses.

Publisher

SAGE Publications

Reference20 articles.

1. Canalys. Global Electric Vehicle Sales Up 109% in 2021, with Half in Mainland China. 2022. https://canalys.com/newsroom/global-electric-vehicle-market-2021

2. Electric Vehicle Range Anxiety: An Obstacle for the Personal Transportation (R)evolution?

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