摘要
为研究煤巷围岩的稳定性,选取顶板围岩完整性、顶板围岩强度、煤体强度、弱岩层厚度和埋藏深度5个影响因素,采用正态云理论和德尔菲法建立了围岩稳定性评价的正态云模型,并应用于工程实际。结果表明,基于正态云模型的煤巷围岩稳定性分类判别结果符合实际,并优于BP神经网络法的判别结果。
In order to study the stabi].ity of surrounding rock of coal roadway, five factors, such as integrity of surrounding rock roof, strength of surrounding rock roof, coal strength, thickness of weak rock and buried depth, were selected as the evaluation indicators. According to the normal cloud theory and Delphi theory, the normal cloud model was obtained to classify the stability classification of surrounding rock of coal roadway. And then the model was applied to actual engineering. Compared with the BP neural network method, the results show that the normal cloud method has excellent performance and high prediction accuracy.
出处
《煤矿安全》
北大核心
2017年第5期194-197,共4页
Safety in Coal Mines
基金
陇东学院青年科技创新资助项目(XYBY10
XYBE1603)
甘肃省高等学校科研资助项目(2014B-092)
关键词
云模型
煤巷
围岩
稳定性分类
德尔菲法
cloud model
coal roadway
surrounding rock
stability classification
Delphi method
