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煤巷支护效果智能预测系统及应用

马鑫民 向俊杰 翟中华 陈莉影 杨雯清

采矿与岩层控制工程学报2024,Vol.6Issue(2):1-16,16.
采矿与岩层控制工程学报2024,Vol.6Issue(2):1-16,16.

煤巷支护效果智能预测系统及应用

Intelligent prediction system and application of coal roadway support effect

马鑫民 1向俊杰 1翟中华 1陈莉影 1杨雯清1

作者信息

  • 1. 中国矿业大学(北京) 力学与土木工程学院, 北京 100083
  • 折叠

摘要

Abstract

Addressing the challenge of designing coal roadway support under deeply buried and complex geologi-cal conditions,this study integrates roadway support,computer development,and numerical simulation into a co-hesive cross-fusion technological research approach.By compiling literature,conducting questionnaires,and un-dertaking field investigations,a comprehensive coal roadway support knowledge base was established.This base aids in providing users with essential rock mechanics and support scheme parameters through data retrieval and a rule-based reasoning mechanism.A versatile numerical simulation script,adaptable to varied geological condi-tions,diverse roadway types,and multiple support schemes,was developed utilizing FLAC3D's built-in language for secondary development.This facilitated the creation of a predictive model for assessing the efficacy of coal roadway support systems.Advanced computer programming was employed to develop a predictive system for coal roadway support outcomes,enabling the visualization and intelligent forecasting of support effects.The sys-tem's efficacy was demonstrated through application to a classic case,with its predictive accuracy evaluated using the coefficient of determination(R2)and the Mean Absolute Percentage Error(MAPE),both yielding satisfactory results within acceptable ranges-R2 values above 0.8 and MAPE values below 20%.Further validation in an engi-neering application,the 818 external air roadway at Xinhu Coal Mine,confirmed the system's high predictive ac-curacy of over 84%,proving its capability to provide accurate guidance for onsite construction operations.

关键词

煤巷支护/支护效果预测/二次开发/FLAC3D

Key words

coal roadway support/supporting effect prediction/second development/FLAC3D

分类

矿业与冶金

引用本文复制引用

马鑫民,向俊杰,翟中华,陈莉影,杨雯清..煤巷支护效果智能预测系统及应用[J].采矿与岩层控制工程学报,2024,6(2):1-16,16.

基金项目

国家自然科学基金资助项目(52074301) (52074301)

采矿与岩层控制工程学报

OA北大核心CSTPCD

2096-7187

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