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基于孔隙率和粒径的煤矸石力学性能预测试验研究

朱磊 刘治成 刘成勇 赵萌烨 贾金兑 丁自伟

西安科技大学学报2024,Vol.44Issue(6):1083-1094,12.
西安科技大学学报2024,Vol.44Issue(6):1083-1094,12.DOI:10.13800/j.cnki.xakjdxxb.2024.0607

基于孔隙率和粒径的煤矸石力学性能预测试验研究

Experimental study on prediction of mechanical properties of coal gangue based on porosity and particle sizes

朱磊 1刘治成 1刘成勇 1赵萌烨 1贾金兑 2丁自伟2

作者信息

  • 1. 中煤能源研究院有限责任公司,陕西 西安 710054
  • 2. 西安科技大学 能源学院,陕西 西安 710054
  • 折叠

摘要

Abstract

The significant correlation between the pore structure and mechanical properties of porous media rocks is a subject of in-depth study.This research specifically focused on typical sandstone sam-ples obtained from coal mining waste in the Shanxi-Shaanxi area of China.By employing a range of methods including sieving tests,mercury intrusion porosimetry,X-ray diffraction analysis,and uniaxial compression tests,the study analyzed the strength and basic physicochemical properties of rocks under different porosity levels.Through the application of SPSS statistical principles,a pore strength predic-tion model was developed,exploring the impact of porosity distribution parameters on the mechanical properties of porous sandstones.The results show that the porosity significantly affects the failure state of the sample.The smaller the porosity of the rock mass,the more sufficient the cementation between the particles,the larger the contact area,the closer the arrangement,the lower the porosity,and the higher the compressive strength.The highest significance rate of linear correlation is found to be porosi-ty of-0.929,followed by elastic modulus of-0.762 and apparent density of-0.587.The porosity is significantly negatively correlated with the compressive strength of rock.The prediction accuracy R2 is 0.896,and the Spearman correlation coefficient is-0.954.The study explains the influence of pore structure parameters on the mechanical properties of rock,providing important reference for the rapid e-valuation and prediction model of rock strength.

关键词

煤矸石/理化性质/力学性能/孔隙率/强度预测方法

Key words

coal gangue/physicochemical properties/mechanical properties/porosity/strength predic-tion method

分类

矿业与冶金

引用本文复制引用

朱磊,刘治成,刘成勇,赵萌烨,贾金兑,丁自伟..基于孔隙率和粒径的煤矸石力学性能预测试验研究[J].西安科技大学学报,2024,44(6):1083-1094,12.

基金项目

国家自然科学基金项目(52074209) (52074209)

中煤能源集团重大专项(ZMYHT∗CK-W-GSZYHLY-03-23-040) (ZMYHT∗CK-W-GSZYHLY-03-23-040)

西安科技大学学报

OA北大核心CSTPCD

1672-9315

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