Evidence map›Paper›PMID 40333482›Full record

ArticleMaterials (Basel, Switzerland)2025

Study on Non-Destructive Testing Method of Existing Asphalt Pavement Based on the Principle of Geostatistics.

Duanyi Wang, Chuanxi Luo, Meng Fu, Wenting Zhang, Wenjie Xie

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Duanyi WangSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510000, China.
Chuanxi LuoSchool of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510000, China.ORCID 0009-0002-5094-159X
Meng FuGuangdong Communication Planning & Design Institute Group Co., Ltd., Guangzhou 510000, China.
Wenting ZhangXiaoning Institute of Roadway Engineering, Guangzhou 510000, China.
Wenjie XieXiaoning Institute of Roadway Engineering, Guangzhou 510000, China.

Funding

Natural Science Foundation of China 51808228Natural Science Fund of Guangdong Province 2019A1515011965
6 · The paper itself

Abstract

In the context of the rapid advancement of reconstruction and expansion projects, there has been a significant increase in the demand for the inspection and evaluation of existing asphalt pavements. In order to enhance the efficiency and effectiveness of joint detection using 3D ground-penetrating radar and falling weight deflectometers, this study investigates non-destructive testing methods for existing asphalt pavements based on geostatistical correlation principles. The relationship between crack rate and deflection is analyzed using group average values. The characteristic sections division method based on the crack rate guideline was realized. Research on the prediction method for deflection using Kriging interpolation has been conducted. Research has revealed that there is a positive correlation between the crack rate and the deflection index. The principle of the singularity index can be employed to divide characteristic sections. The falling weight deflectometer is capable of conducting targeted testing in accordance with characteristic sections. Furthermore, the superior performance of Kriging interpolation in predicting deflection compared with linear interpolation has been demonstrated. According to the Kriging interpolation principle, the detection interval of slow lane deflection should not be more than 100 m. Kriging interpolation on one way lane of matrix data has the best effect, and it can predict deflection using a limited amount of slow lane and hard shoulder data. This facilitates analysis of the changing trend of the deflection index in cases where detection conditions are constrained. This method is of great significance for grasping the true performance status of the existing asphalt pavement structure.

Indexed as

3D GPRcrack ratedeflectionFWDgeostatistics

Identifiers

PMID40333482
PMCPMC12028453

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.