[1] 吕庆, 孙红月, 尚岳全, 等. 深埋特长公路隧道岩爆预测综合研究[J]. 岩石力学与工程学报, 2005, 24(16): 2982-2988. Lü Qing, Sun Hongyue, Shang Yuequan, et al. Comprehensive study on prediction of rock burst in deep and over-length highway tunnel[J]. Chinese Journal of Rock Mechanics and Engineering,2005, 24 (16): 2982-2988.
[2] 李果, 周承京, 张勇, 等. 地下工程岩爆研究现状综述[J]. 水利水电科 技进展, 2013, 33(3): 77-83, 94. Li Guo, Zhou Chengjing, Zhang Yong, et al. Review of rockburst in underground engineering[J]. Advances in Science and Technology of Water Resources, 2013, 33(3): 77-83, 94.
[3] 徐则民, 吴培关, 王苏达, 等. 岩爆过程释放的能量分析[J]. 自然灾害 学报, 2003, 12(3): 104-110. Xu Zemin, Wu Peiguan, Wang Suda, et al. Analysis of energy released in process of rock burst[J]. Journal of Natural Disasters. 2003, 12(3): 104-110.
[4] 刘思妤, 徐则民. 基于动-静应力耦合的深埋隧道岩爆灾害控制[J]. 自 然灾害学报, 2010, 19(1): 177-184. Liu Siyu, Xu Zemin. Rock burst control of deeply buried tunnels based on coupling of dynamic and static stresses[J]. Journal of Natural Disasters, 2010, 19(1): 177-184.
[5] 熊孝波, 桂国庆, 许建聪, 等. 可拓工程方法在地下工程岩爆预测中的 应用[J]. 解放军理工大学学报: 自然科学版, 2007, 8(6): 695-701. Xiong Xiaobo, Gui Guoqing, Xu Jiancong, et al. Application of extension method to prediction of rockburst of underground engineering[J]. Journal of PLA University of Science and Technology, 2007, 8(6):695-701.
[6] 陈海军, 郦能惠, 聂德新, 等. 岩爆预测的人工神经网络模型[J]. 岩土 工程学报, 2002, 24(2): 229-232. Chen Haijun, Li Nenghui, Nie Dexin, et al. A model for prediction of rock burst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.
[7] 汪明武, 李丽, 金菊良. 岩爆预测的改进集对分析模型[J]. 岩土力学, 2008, 28(S1): 511-514, 518. Wang Mingwu, Li Li, Jin Juliang. An improved set pair analysis model for the prediction of rock burst[J]. Rock and Soil Mechanics, 2008, 28 (S1): 511-514, 518.
[8] 王元汉, 李卧东, 李启光, 等. 岩爆预测的模糊数学综合评判方法[J]. 岩石力学与工程学报, 1998, 17(5):15-23. Wang Yuanhan, Li Wodong, Li Qiguang, et al. A fuzzy comprehensive evaluation method for rock burst prediction[J]. Chinese Journal of Rock Mechanics and Engineering, 1998, 17(5): 15-23.
[9] 周宣赤, 白春华, 王仲琦, 等. 粒子群投影寻踪算法在岩爆预测中的应 用[J]. 上海交通大学学报, 2012, 46(12): 1956-1961. Zhou Xuanchi, Bai Chunhua, Wang Zhongqi, et al. Application of projection pursuit model and practice swarm optimization in rock burst prediction[J]. Journal of Shanghai Jiaotong University, 2012, 46(12): 1956-1961.
[10] 刘金海, 冯涛, 袁坚. 基于非线性灰色归类模型的岩爆预测方法[J]. 地下空间与工程学报, 2005, 1(6): 821-824. Liu Jinghai, Feng Tao, Yuan Jian. Rock burst prediction method based on the nonlinear grey model of classification[J]. Chinese Journal of Underground Space and Engineering, 2005, 1(6): 821-824.
[11] 徐则民, 黄润秋, 范柱国, 等. 长大隧道岩爆灾害研究进展[J]. 自然 灾害学报, 2004, 13(02): 16-24. Xu Zemin, Huang Runqiu, Fan Zhuguo, et al. Progress in research on rock burst hazard of long tunnel with large section[J]. Journal of Natural Disasters, 2004, 13(02): 16-24.
[12] 程乾生. 属性数学-属性测度和属性统计[J]. 数学的实践与认识, 1998, 28(2): 97-107. Cheng Qiansheng. Attribute mathematics-attribute measure and attribute statistics[J]. Mathematics in Practice and Theory, 1998, 28(2): 97-107.
[13] 马衍坤, 王恩元, 刘贞堂, 等. 煤层突出危险性的属性综合评价模型 研究[J]. 采矿与安全工程学报, 2012, 29(3): 416-420. Ma Yankun, Wang Enyun, Liu Zhentang, et al. Attribute synthetic evaluation model for predicting risk of coal and gas outburst[J]. Journal of Mining & Safety Engineering, 2012, 29(3): 416-420.
[14] 周宗青, 李术才, 李利平, 等. 围岩超前优化分级的属性识别模型及 其工程应用[J]. 中南大学: 自然科学版, 2013, 44(4): 1611-1619. Zhou Zongqing, Li Shucai, Li Liping, et al. Attribute recognition model of surrounding rock optimized classification and its engineering application[J]. Journal of Central South University: Science and Technology, 2013, 44(4): 1611-1619.
[15] 王斌, 李夕兵, 马春德, 等. 基于三维地应力测量的岩爆预测问题研究[J]. 岩土力学, 2011, 32(3): 849-854. Wang Bin, Li Xibing, Ma Chunde, et al. Study of forecast of rock burst based on three dimensional in-situ stress measurement[J]. Rock and Soil Mechanics, 2011, 32(3): 849-854.