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
TL;DR
This paper explores using coal gangue from tunneling as a highway base material, finding the best mix for strength, durability, and sustainability.
Contribution
The study introduces a new evaluation model combining Delphi, entropy weight, and TOPSIS methods for optimizing coal gangue mixtures.
Findings
Increasing coal gangue content reduces mechanical properties like UCS and fatigue life.
Coarse aggregates reduce drying shrinkage, while fine aggregates improve long-term strength.
Gradation T1~3 enhances microstructure and is optimal for expressway bases.
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…
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Taxonomy
TopicsRock Mechanics and Modeling · Asphalt Pavement Performance Evaluation · Tunneling and Rock Mechanics