Evidence map›Paper›PMID 41790769›Full record

ArticlePloS one2026

Composition optimization of mastic in recycled asphalt mixtures based on pavement performance.

Xiaohui Li, Zhanghong Liu, Kaimin Fu, Kai Zhang, Maomao Chen

Abstract read
In one paragraph

Article in PloS one, 2026. 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

5 authors.

Xiaohui LiJiangxi Ganyue Expressway Co., LTD, Nanchang, China.
Zhanghong LiuJiangxi Ganyue Expressway Co., LTD, Nanchang, China.ORCID https://orcid.org/0009-0002-0375-6877
Kaimin FuJiangxi Communications Investment Group Co., LTD, Nanchang, China.
Kai ZhangJiangxi Provincial Communications Investment Maintenance Technology Group Co., LTD, Nanchang, China.
Maomao ChenJiangxi Ganyue Expressway Co., LTD, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the depletion of natural sand and gravel resources and increasing environmental restrictions, the utilization of recycled asphalt pavement materials (RAP) has become a critical approach to mitigate the consumption of natural aggregates and reduce carbon emissions in highway construction. The performance of RAP-containing asphalt mixtures is closely associated with the properties of asphalt mastic, which consists of fine RAP (FRAP), fine natural aggregates, mineral filler, and asphalt binder. However, the interactions among these components, namely fine aggregate gradation (calculated via K value), mineral filler-binder ratio, and FRAP-fine aggregate ratio, are not yet fully understood, limiting the informed design of asphalt mastic. This study aims to investigate the compositional characteristics of asphalt mastic and propose an optimized gradation suitable for engineering applications. The results indicate that an asphalt mastic with a mineral filler-binder ratio of 1.4, a FRAP-fine aggregate ratio of 50:50, and a K value of 0.65 achieves optimal overall mechanical performance. An analysis of variance shows that the mineral filler-binder ratio is the dominant factor affecting mastic performance (p < 0.001), followed by the FRAP-fine aggregate ratio (p < 0.01), while the influence of the K value is comparatively weak. Building on these optimized mastic parameters, the effect of the coarse aggregate-to-asphalt mastic ratio was evaluated, with a ratio of 75:25 providing the most balanced mixture performance. Compared with the standard gradation, mixtures designed with the recommended gradation exhibited approximately 35% higher dynamic stability and 28% higher fracture toughness, indicating significantly improved resistance to rutting and cracking.

Indexed as

Construction MaterialsHydrocarbonsRecyclingMaterials TestingMineralsasphaltHydrocarbonsMinerals

Identifiers

PMID41790769
PMCPMC12965581

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.