岩体质量等级分类预测方法及其工程应用

发布时间：2018-05-30 17:16

本文选题：隧道地震波勘探 + 岩体质量分类预测　；参考：《中南大学学报(自然科学版)》2017年04期

【摘要】：为准确地预测前方岩体质量,提出基于隧道地震波勘探系统和可拓理论的岩体质量等级分类预测方法。通过对数百例典型地震波探测数据的系统收集与归类分析,遴选出隧道地震波勘探系统可有效识别的、可表征岩体质量等级的物理力学参数作为分类预测指标,并根据隧道地震波场响应特征,提出岩体质量分类预测指标体系的分级标准,建立隧道岩体质量等级分类预测的物元可拓模型。通过TSP探测技术获取预测指标取值,对其进行无量纲化处理,并利用简单关联函数法确定预测指标的权重。研究结果表明:岩体质量分类预测结果与属性识别模型、GA_SVM评价结果及现场情况具有较好的一致性,验证了该方法的可行性和准确性,提供了一种可应用于施工阶段的岩体质量等级预测方法。
[Abstract]:In order to accurately predict the forward rock mass quality, a classification and prediction method of rock mass quality grade based on tunnel seismic wave exploration system and extension theory is proposed. Through the systematic collection and classification analysis of hundreds of typical seismic wave detection data, it is found that the tunnel seismic wave exploration system can be recognized effectively, and the physical and mechanical parameters which can represent the grade of rock mass quality can be used as the classification and prediction index. According to the response characteristics of tunnel seismic wave field, the classification standard of rock mass quality classification and prediction index system is put forward, and the matter-element extension model of tunnel rock mass quality classification prediction is established. The value of prediction index is obtained by TSP detection technique, and the dimensionless processing is carried out, and the weight of prediction index is determined by using the simple correlation function method. The results show that the prediction results of rock mass quality are in good agreement with the evaluation results and field conditions of attribute recognition model, and the feasibility and accuracy of this method are verified. A prediction method of rock mass quality grade can be used in construction stage.
【作者单位】：山东大学岩土与结构工程研究中心;河海大学水文水资源与水利工程科学国家重点实验室;
【基金】：国家重点基础研究发展计划(973计划)项目(2013CB036000) 国家自然科学基金青年科学基金资助项目(51609129) 水文水资源与水利工程科学国家重点实验室开放研究基金资助项目(2016491211) 山东省自然科学基金资助项目(ZR2014EEQ002) 山东大学基本科研业务费专项资金资助项目(2016GN026)~~
【分类号】：TU45

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