Evidence map›Paper›PMID 40428929›Full record

ArticleMaterials (Basel, Switzerland)2025

Optimum Mix of Tunneling Coal Gangue as a Highway Base Material Through Delphi-Entropy Weight-TOPSIS and Microstructure Analysis.

Decai Wang, Baiyu Wang, Zongyuan Wu, Jiawei Wei, Riran Wang, Jingjiang Wu, Shenzhen Ding

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

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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.

Decai WangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Baiyu WangSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Zongyuan WuSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.ORCID 0009-0008-8790-8711
Jiawei WeiSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.
Riran WangSchool of Water Conservancy and Transportation, Zhengzhou University, 100 Science Rd., Zhengzhou 450001, China.
Jingjiang WuChina Construction Seventh Engineering Division Corporation Ltd., Zhengzhou 450004, China.
Shenzhen DingSchool of Civil Engineering and Communication, North China University of Water Resources and Electric Power, Zhengzhou 450045, China.

Funding

Henan Province Science and Technology Key Project 252102240033Key Research Project of Institutions of Higher Education in Henan Province 25A580005Natural Science Foundation of Henan Province 242300420340The Key Research Project for Higher Education Institutions of Henan Province 25A580003The Research and Development Project of China Construction Seventh Engineering Division Co. Ltd CSCEC7b-2021-2-20Zhengzhou Science and Technology Collaborative Innovation Project 2021-212-15 and 2023XTCX024
6 · The paper itself

Abstract

Using coal gangue in highway base construction provides a sustainable and high-value solid waste recycling approach. This research focused on the mechanical and durability properties of coal gangue from tunneling operations. Six experimental tests, such as unconfined compressive strength (UCS), flexural-tensile strength (FTS), etc., were carried out. The impact of aggregate gradation on coal gangue mixtures' performance was systematically evaluated. XRD and SEM were used to explore the microstructural mechanisms in cement-stabilized coal gangue-gravel mixtures (CGM). An improved evaluation model, the Delphi-entropy weight-TOPSIS (DET) method, integrating Delphi and entropy weighting, was proposed. Together with an advanced radar chart, it evaluates eight performance criteria, including mechanical, durability, economic, and environmental aspects. The results show that increasing the coal gangue content in mixtures decreases UCS, dynamic compressive rebound modulus (DCRM), FTS, fatigue life, and drying shrinkage performance. Coarse aggregates relieve drying shrinkage, while fine ones improve long-term mechanical properties. Gradation T1~3 promotes the formation of C-S-H gel and AFt crystals, enhancing compactness. Based on the DET model's quantitative evaluation, T1~3 was determined as the optimal mix for expressway bases, achieving a balance between mechanical performance, durability, and sustainability.

Indexed as

comprehensive propertiesimproved TOPSIS modelinternal mechanismsquantitative evaluationsolid waste utilizationtunneling coal gangue

Identifiers

PMID40428929
PMCPMC12113447

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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.