【摘要】 基于属性数学理论建立隧道瓦斯突出预测与危险性分级的属性识别模型,以弥补现有隧道勘测设计阶段瓦斯突出评价方法的不足。首先确定隧道瓦斯突出预测的评价指标与危险性分级标准,然后进行评价指标的属性测度分析,通过构造属性测度函数以计算单指标属性测度和样本综合属性测度,最后应用置信度准则对隧道样本的瓦斯突出进行属性识别,从而建立隧道勘测设计阶段瓦斯突出评价的属性识别模型。在工程实例分析研究中,通过属性测度分析和计算,得到了隧道瓦斯突出的预测结果,评价结果与物元可拓评判法以及D、K值法的评价结果有较好的一致性。由于属性数学理论能很好地解决具有多个模糊属性问题的综合评价,且置信度准则是根据评价集具有有序性这一特点而提出的,因而可使评价结果更为可靠。更多还原

【Abstract】 In order to improve the present methods of quantitatively assessment of gas burst during tunnel construction,attribute recognition model based on attribute mathematical theory was developed for assessment of gas burst in tunnel at the prospecting stage.Firstly,based on the analysis of main causes of gas burst in tunnel,seven parameters were chosen as the criterion indices for identification and classification of fatalness assessment of gas burst in tunnel;secondly,attribute measurement functions were rigorously constructed to compute attribute measurement of single index and synthetic attribute measurement;lastly,the identification and classification of fatalness assessment of gas tunnel samples were recognized by the confidence criterion,then attribute recognition model was proposed for comprehensive assessment of gas burst fatalness assessment of gas tunnel.An exemplification study shows that the synthetic assessment results obtained through attribute measurement analysis agree well with the results obtained by the extension assessment method and D,K method.As attribute mathematical theory can successfully resolve certain issues with a number of fuzzy attributes in comprehensive evaluation,and its confidence criterion is established on the basis of the ordered evaluation sets,consequently,it will enable the evaluation results be more reliable.更多还原