Evidence map›Paper›PMID 40805573›Full record

ArticleMaterials (Basel, Switzerland)2025

Effect of Aggregate Type on Asphalt-Aggregate Adhesion and Its Quantitative Characterization.

Liuxiao Chen, Junlin Li, Hao Xiang, Jun Zhang, Enlin Feng, Lin Kong

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

6 authors.

Liuxiao ChenShock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang 621010, China.
Junlin LiCollege of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.
Hao XiangShock and Vibration of Engineering Materials and Structures Key Laboratory of Sichuan Province, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0000-0002-5048-5988
Jun ZhangCollege of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China.
Enlin FengSichuan Zhen Tong Inspection Co., Ltd., Mianyang 615499, China.
Lin KongCollege of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China.

Funding

2024 Science and Technology project of Guizhou Highway Bureau 2024QLK12The National & Local Joint Engineering Research Center of Transportation and Civil Engineering Materials, Chongqing Jiaotong University TCEM-2023-06The Natural Science Foundation Project of Sichuan Province 2025ZNSFSC1319The Scientific research fund of Southwest University of Science and Technology 22zx7121
6 · The paper itself

Abstract

To study the effect of aggregate type on the adhesion between asphalt and aggregate, limestone, basalt, diabase, and 70# asphalt with SBS asphalt were selected. The mineral phase composition of the aggregates was analyzed by X-ray diffraction. The surface energy theory was used to calculate the adhesion work and the work of flaking. The modified water boiling method combined with image processing technology was used to quantitatively characterize the flaking behavior of the asphalt. The results show that the aggregate type is closely related to the asphalt-aggregate adhesion. The mineral compositions of different types of aggregates vary significantly, with limestone, being a strongly alkaline aggregate predominantly comprising CaCO

Indexed as

asphalt–aggregate adhesionimage processing techniquessurface energywater boiling test

Identifiers

PMID40805573
PMCPMC12348592

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.