考虑沥青层表面细观构造的探地雷达空隙率检测研究

doi:10.11896/cldb.20090271

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Abstract Air voids content is the most important factor for asphalt pavement which have close relationship with road performance and durability. In order to predict the air voids content of asphalt layer with high accuracy, a method was proposed considering the surface microscopic structure based on ground penetrating radar (GPR). Firstly, the numerical model of porous thin layer-uniform voids layer was established based on the finite-difference time-domain (FDTD) software, and the influence of surface microscopic structure on the prediction accuracy of air voids content was quantitatively simulated. After that, the algorithm was developed to decompose the electromagnetic wave reflected from the surface and calculate the dielectric constant of the uniform voids layer based on the full waveform inversion theory. Finally, the effectivity of the algorithm was verified through FDTD numerical models and laboratory measurements. The results show that: the air voids content of the uniform layer first increased and then decreased with the increase of the air voids content of the porous thin layer, and the surface microscopic structure of the asphalt layer influenced the accuracy of air voids content prediction significantly. The reflection wave decomposed and reconstructed by the full waveform inversion method was in good correspondence with the original waveform, and the dielectric constant of the uniform layer can be calculated accurately. Compared to the traditional metal reflection method, the average error of air voids content estimation obtained from the FDTD models and laboratory measurements using the proposed method was reduced by 24.0% and 6.6%, respectively, which verified the feasibility of this method.

Key words： road engineering asphalt pavement air voids content ground penetrating radar (GPR) microscopic structure full waveform inversion

Published: 25 December 2021 Online: 2021-12-27

CLC number:

U418

Fund:This work was financially supported by the Key Laboratory of Road Structure and Materials Transportation Industry (Research Institute of Highway Ministry of Transport) Open Fund in 2019(S282019124), Chongqing Technology Innovation and Application Development General Project(cstc2019jscx-msxmX0296).

About author: Tianqing Ling, received his Ph.D. degree from Tongji University in 1996. He is a professor and doctoral advisor of Chongqing Jiaotong University. His research interests are design and maintenance of subgrade and pavement.

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	LING Tianqing
	CUI Lilong
	ZHANG Yi
	TIAN Bo
	LI Dingzhu

Cite this article:

LING Tianqing,CUI Lilong,ZHANG Yi, et al. Research on Asphalt Pavement Air Voids Content Estimation Utilizing GPR Considering the Surface Microscopic Structure[J]. Materials Reports, 2021, 35(24): 24081-24087.

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http://www.mater-rep.com/EN/10.11896/cldb.20090271 OR http://www.mater-rep.com/EN/Y2021/V35/I24/24081

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