Performance Research on Coal Gangue Permeable Bricks for the Ecological Support in the New Energy Field Based on Machine Learning
Year: 2026
Type: conference-paper
Abstract: With the acceleration of urbanization process and the rapid development of the new energy industry, permeable bricks, as environmentally friendly ecological building materials, are widely used in urban roads, squares, and ecological supporting projects of new energy sites. Coal gangue, as an industrial waste, has good physical and chemical properties and is one of the ideal raw materials for permeable bricks. In this paper, compressive strength and permeability coefficient of coal gangue permeable brick is discussed by combining experimental test and machine learning technology, and compressive strength is predicted by using several machine learning models. The experimental results show that the coal gangue permeable brick has good mechanical properties and water permeability. The compressive strength ranges from 3.21 MPa to 12.23 MPa, and the water permeability coefficient ranges from 0.35 cm/s to 0.45 cm/s. Machine learning models can predict compressive strength accurately, which provides a new idea for the optimization design of permeable bricks suitable for both sponge city and new energy site scenarios. The research results provide theoretical basis for the reuse of coal gangue resources, and provide strong support for the optimization and application of permeable bricks, especially for their application as ecological supporting materials in the new energy field.
Authors: Jingxuan Chen, Liang Li
Institution: University of Shanghai for Science and Technology
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204181379