Evidence map›Paper›PMID 41976748›Full record

ArticleMaterials (Basel, Switzerland)2026

Road Performance of Solid Waste-Based Cementitious Material-Stabilized Reclaimed Base Course Material.

Qi Ma, Jiuguang Geng, Peng Wei, Xijuan Xu, Zewen He, Zhen Wang, Hui Lan

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

7 authors.

Qi MaSchool of Materials Science and Engineering, Chang'an University, Xi'an 710064, China.
Jiuguang GengSchool of Materials Science and Engineering, Chang'an University, Xi'an 710064, China.
Peng WeiSchool of Materials Science and Engineering, Chang'an University, Xi'an 710064, China.
Xijuan XuXi'an Highway Research Institute Co., Ltd., Xi'an 710065, China.
Zewen HeSchool of Materials Science and Engineering, Chang'an University, Xi'an 710064, China.
Zhen WangXi'an Yinding Technology Co., Ltd., Xi'an 710199, China.
Hui LanXi'an Yinding Technology Co., Ltd., Xi'an 710199, China.

Funding

Key Research and Development Project of Shaanxi Province 2024GX-YBXM-423Special Fund for Basic Scientific Research of Central Colleges 300102314201
6 · The paper itself

Abstract

Large-scale pavement maintenance generates substantial amounts of reclaimed base course material (RBM), whose high-value reuse presents a critical challenge. Although cement is commonly used for stabilization, its high carbon footprint and shrinkage issues limit sustainability. This study proposes a 100% solid waste-based cementitious material (SWC) as an alternative stabilizer for pavement base layers containing high proportions of RBM. A comparative investigation was conducted between SWC-stabilized RBM (SSRBM) and ordinary Portland cement-stabilized RBM (CSRBM) regarding key road performance indicators. The results indicate that with 100% RBM, the 7-day compressive strength of SSRBM containing 4% SWC reaches 1.88 MPa, meeting the Chinese specification JTG/T 5521-2019. By incorporating 15% natural coarse aggregate, this strength can be increased by 35.4%. Furthermore, SSRBM demonstrates superior freeze-thaw resistance, with a freeze-thaw-retained unconfined compressive strength ratio of 93.9%, compared to 89.6% for CSRBM, and exhibits a lower drying shrinkage coefficient. Carbon emission analysis shows that the emissions per cubic meter of SSRBM are approximately 73% lower than those of CSRBM, presenting a viable and environmentally advantageous alternative for sustainable pavement construction.

Indexed as

carbon emissionreclaimed materialroad performancesolid waste utilizationstabilization

Identifiers

PMID41976748
PMCPMC13074714

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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.