| 岩爆等级判定的距离判别分析方法及应用 |
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| 引用本文： | 王吉亮,陈剑平,杨静,阙金声.岩爆等级判定的距离判别分析方法及应用[J].岩土力学,2009,30(7):2203-2208. |
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| 作者姓名： | 王吉亮 陈剑平 杨静 阙金声 |
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| 作者单位： | 1.吉林大学 建设工程学院，长春130026；2.长江三峡勘测研究院有限公司（武汉） 岩土工程设计处，武汉 430074； 3.长江三峡勘测研究院有限公司（武汉） 计算机与信息中心，武汉 430074；4.北京国电华北电力工程有限公司，北京100120 |
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| 基金项目： | 国家自然科学基金，教育部资助优秀年轻教师基金，吉林大学面向21世纪教育振兴行动计划（985计划） |
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| 摘 要： | 将距离判别分析方法应用于岩爆等级判定问题。选用洞室围岩最大的切向应力σθ、岩石单轴抗压强度σc、抗拉强度σt、岩石弹性能量指数Wet作为岩爆等级判定的距离判别分析模型判别因子，以工程中实际岩爆情况及数据作为训练样本，进行分析计算，建立岩爆等级判定的距离判别分析模型。运用该分析模型对国内外工程实际岩爆情况进行判定，判别结果与工程实际完全相符。将该模型应用到诸（暨）永（嘉）高速公路括苍山隧道工程的岩爆情况预测中，判别结果与实际情况相符。研究表明，岩爆等级判定的距离判别分析方法，判别能力强，误判率低，是解决岩爆等级判定的一条有效途径。
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| 关 键 词： | 岩爆 等级判定 距离判别分析 对比分析 误判率 |
| 收稿时间： | 2007-11-19 |
Method of distance discriminant analysis for determination of classification of rockburst |
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| WANG Ji-liang,CHEN Jian-ping,YANG Jing,QUE Jin-sheng.Method of distance discriminant analysis for determination of classification of rockburst[J].Rock and Soil Mechanics,2009,30(7):2203-2208. |
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| Authors: | WANG Ji-liang CHEN Jian-ping YANG Jing QUE Jin-sheng |
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| Institution: | 1. College of Construction Engineering, Jilin University, Changchun 130026, China; 2. Department of Geotechnical Eng. Design, Three Gorges Geotechnical Consultants Co., Ltd, Wuhan 430074, China; 3. Computer and Information Center, Three Gorges Geotechnical Consultants Co., Ltd, Wuhan 430074, China; 4. North China Power Engineering (Beijing) Co., Ltd, Beijing 100120, China |
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| Abstract: | Rockburst is one of the main engineering geological problems greatly threatening the safety of construction. Prediction of rockburst is always an important project concerning the safety of workers and equipments in tunnels. The method of discriminant analysis is used to classify whether rockburst will happen in the underground rock projects and how much the intensity of rockburst is. Some main control factors of rockburst, such as the values of in-situ stresses σθ, uniaxial compressive strength σc and tensile strength σt of rock, the elastic energy index of rock Wet, are chosen in the analysis. Linear discriminant functions and criterion are obtained through training a large set of rockburst samples which come from a series of underground rock projects in domestic and abroad. Another samples are evaluated with the model. The evaluated results agree well with the practical records. Comparing the results of support vector machine method, fuzzy comprehensive evaluation method and artificial neural network method with discriminant analysis method, the evaluating results are same. Misjudgment ratio is low. Applying the classification model to rockburst prediction of the project of Kuocangshan Tunnel in Zhuyong Expressway, the result of classification is same as the results of fuzzy comprehensive evaluation method, artificial neural network method and numerical modeling method, just same as what happened in scene. It is shown that the classification model of discriminant analysis which with a low misjudgment ratio performed excellently with high prediction accuracy is an effective path to solve the problem of rockburst grade classification. |
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| Keywords: | rockburst classification discriminant analysis comparative analysis misjudgment ratio |
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