基于主成分分析的瓦斯突出危险性评价研究

  • 打印
  • 收藏
收藏成功


打开文本图片集

中图分类号:TD713 文献标志码:A 文章编号:2095-2945(2025)29-0097-06

明相林¹,田紫微1*,吴华²,邸成²,赵全超²,李济良²,周铁刚³,李新继³,王海军³,罗延3(1. 610074;2.中铁二院工程集团有限公司,成都 610031;3.京昆高速铁路西昆有限公司,重庆400025)

Abstract:Ingastunnels,gasoutburstriskasessment isanefective measuretopreventcoalandgasoutburstacidents. However,therearemanyindicatorstopredicttheoutstandingrisk,andthesensitivityofdiferentindicatorsisdiferent,which makesthepredictionacuracylow.Basedontheaboveproblems,thispaperusesprincipal componentanalysis(PCA)toevaluate theoutburstriskofgastunnels,analyzesthesensivityofeachpredictorindex,andproposesariskevaluationmodelforgas outburstbasedon principal component analysis.The results show that among the nine selected indicators,the K value of the comprehensiveindexhasthestrongestsensitivityandtheevaluationresultsofthegasoutburstriskoftheestablishedmodelare consistent withtheactual situationofthesite,andtheaccuracyofthemodelinpredictingtheoutbursthazardis 90% : Comparedwiththetraditionalevaluationmethod,themodelcomprehensivelyconsiderstheinfluenceoftheselectedindicatorson thegasdynamicefect,andtheselectedindicatorsareeasytomeasureandcalculateonsite,andtheacuracyofon-site prediction of outstanding hazards is high,which has engineering application value.

Keywords:gastunnel;riskofcoalandgasoutburst;principalcomponentanalysis;indicatorsensitivity;weightedevaluationodel

由于煤层赋存环境及煤层内部耦合机制复杂,煤与瓦斯突出机理研究仍需进行深入研究,导致判别煤与瓦斯突出的具体位置存在较大的模糊性。(剩余10349字)

目录
monitor
客服机器人