Work

Prediction of heat resources based on air-flow temperature for deep mining

Year: 2025

Type: article

Abstract: The strata temperature has over 40?C in the depth over 800 m of metal mine, it seriously affects the efficiency of excavation. In this paper, heat sources in deep space are systematically analyzed, and the heat calculation model are achieved and its release rules evaluated. According to field monitoring, the thermal influencing factors of shaft, horizontal gallery and excavation surface are investigated. Through numerical-analysis, the ?assumption-correction? iterative trial algorithm is studied to calculate air-flow temperature, a set of prediction index is established, which can predict air-flow temperature and judge heat level face with temperature thresh?old. By comparing field monitoring results with the model prediction data, it, the method shows well reliability for evaluated thermal environment in deep resources mining.

Source: Thermal Science

DOI: 10.2298/tsci2502173j

Authors: Peng Jiang, Xiao-Xu Hou, Hong-Guang Ji, Jun-Tao Wang, Chang Li

Institution: University of Science and Technology Beijing

Language: English

Topic: Geoscience and Mining Technology

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $161

Funders: National Natural Science Foundation of China, National Science and Technology Major Project, National Key Research and Development Program of China