中文摘要：

为了准确地对山岭隧道建设工程中的塌方进行风险评估,基于最大熵原理和属性区间识别理论建立了山岭隧道塌方风险评价模型。具体工作流程是：选取围岩级别、地下水状况、岩体完整程度等7个主要因素作为隧道塌方风险评价指标,制定相应的属性区间评价指标分级标准;采用综合赋权法进行隧道塌方风险指标的权重分析;利用均化系数和基于最大熵原理的属性区间识别理论来确定属性测度区间;应用置信度准则对隧道塌方风险性进行属性识别,确定塌方风险性等级;运用评分准则对塌方风险进行评分,根据分值对两次或多次所属相同级别的风险进行比较排序。利用建立的评价模型与属性识别模型以及模糊层次分析法进行对比,结果吻合性较好。将该模型应用到实际工程中对塌方风险进行评估,并与现场情况作对比,证明了该模型的适用性和可行性。

英文摘要：

In order to accurately evaluate the risk of collapse in mountain tunnel construction,the mountain tunnel collapse risk evaluation model is established based on the maximum entropy principle and attribute interval recognition theory. The specific working process is as follows. Firstly,seven influential factors are selected as the evaluation indexes,including surrounding rock grade,groundwater status,rock mass integrity and etc.,and the corresponding attribute interval evaluation index classification standards are made. Comprehensive assignment method is then applied to analyze the weights of evaluation indices. Attribute interval recognition theory based on maximum entropy principle is used to calculate the interval of attribute measure,and the average coefficient is applied to transform the attribute interval measure into an integrative attribute measure. The identification and classification of risk assessment of mountain tunnel samples are recognized by the confidence criterion. Risk of collapse is graded and then two or more of same levels of risk are compared and ranked according to their scores. The assessment results of the evaluation model in this paper conformed well with the results obtained by the fuzzy analytic hierarchy process. The collapse risk of one tunnel is evaluated using this model,the results have verified its applicability and feasibility.