Evidence map›Paper›PMID 40649527›Full record

ArticleMaterials (Basel, Switzerland)2025

Effect of Incorporating L-Shaped Folded Metal Aggregates on the Performance of Asphalt Mixtures.

Qingguo Yang, Kelin Chen, Longfei Guan, Ya Li, Yunhao Li, Yu Zhou, Wujing Yin

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

7 authors.

Qingguo YangSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.
Kelin ChenSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.
Longfei GuanSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.
Ya LiSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.ORCID 0000-0001-6119-6041
Yunhao LiSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.
Yu ZhouSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.
Wujing YinSchool of Civil Engineering, Chongqing Jiaotong University, Chongqiong 400074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increase in heavy-load traffic and the growing frequency of extreme weather events, traditional rock aggregates, due to poor morphological stability, are unable to meet the performance requirements of high-grade asphalt pavements in complex environments. Most existing research on metal reinforcement focuses on fiber forms. This study innovatively introduces L-shaped multi-faceted metal aggregates (LFMAs). Through surface energy analysis and tests such as the Marshall test, rutting test, water immersion Marshall test, and freeze-thaw splitting test, the effects of the dosage and particle size of LFMAs on the performance of asphalt mixtures are explored. The results show that LFMAs can form an effective bond with SBS modified asphalt, improving the high-temperature stability and low-temperature crack resistance of asphalt mixtures. Under both water immersion and freeze-thaw conditions, the resistance of asphalt mixtures to water damage decreases with the increase in the dosage of metal aggregates. This research expands the application of three-dimensional metal aggregates, breaks through the limitations of fiber-based materials, and provides a new direction for the development of high-performance asphalt mixtures.

Indexed as

asphalt mixturesL-shaped folded metal aggregates (LFMAs)pavement performancesurface free energy

Identifiers

PMID40649527
PMCPMC12251429

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.