JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (6): 105-112.doi: 10.6040/j.issn.1672-3961.0.2016.478
Previous Articles Next Articles
LIU Bin1, LI Shucai1, LI Jianbin2, WANG Yujie3, ZHANG Jianqing4,5, NIE Lichao1, WANG Xueliang6
CLC Number:
| [1] 李术才,刘斌,孙怀凤,等. 隧道施工超前地质预报研究现状及发展趋势[J]. 岩石力学与工程学报,2014,33(6):1090-1113. LI Shucai, LIU Bin, SUN Huaifeng, et al. State of art and trends of advanced geological prediction in tunnel construction[J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(6):1090-1113. [2] 张镜剑,傅冰骏. 隧道掘进机在我国应用的进展[J]. 岩石力学与工程学报,2007,26(2):226-238. ZHANG Jingjian, FU Bingjun. Advances in tunnel boring machine application in China[J]. Chinese Journal of Rock Mechanics and Engineering, 2007, 26(2): 226-238. [3] PETRONIO L, POLETTO F. Seismic-while-drilling by using tunnel boring machine noise[J]. Geophysics, 2002, 67(6): 1798-1809. [4] BORM G, GIESE R, OTTO P, et al. Integrated seismic imaging system for geological prediction during tunnel construction[C] //Proceedings of 10th ISRM Congress,International Society for Rock Mechanics. [S. l.] :[s. n.] , 2003:137-142. [5] KAUS A, BOENING W. BEAM-geoelectrical ahead monitoring for TBM-drives[J]. Geomechanics and Tunnelling, 2008, 1(5): 442-449. [6] 朱劲, 李天斌, 李永林, 等. Beam 超前地质预报技术在铜锣山隧道中的应用[J]. 工程地质学报, 2007, 15(2): 258-262. ZHU Jin, LI Tianbin, LI Yonglin, et al. Application of an electrical method “BEAM” for advanced geological exploration to tunneling in TongLuo mountains for Dian-Lin highway[J]. Journal of Engineering Geology, 2007, 15(2):258-262. [7] 李术才,刘斌,刘征宇,等. TBM 施工隧道前向三维激发极化法超前探测装置系统及方法[P]. 中国:ZL2013100051329, 2013-05-01. [8] YAMAMOTO T, SHIRASAGI S, YAMAMOTO S, et al. Evaluation of the geological condition ahead of the tunnel face by geostatistical techniques using TBM driving data[J]. Tunnelling and Underground Space Technology, 2003, 18(2): 213-221. [9] 岳中琦. 钻孔过程监测(DPM)对工程岩体质量评价方法的完善与提升[J]. 岩石力学与工程学报,2014,33(10):1977-1996. YUE Zhongqi. Drilling process monitoring for refining and upgrading rock mass quality classification methods[J]. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(10):1977-1996. [10] 钱七虎. 地下工程建设安全面临的挑战与对策[J]. 岩石力学与工程学报,2012,31(10):1945-1956. QIAN Qihu. Challenges faced by underground projects construction safety and counter measures[J]. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(10): 1945-1956. [11] FROUGH O, TORABI S R, YAGIZ S. Application of RMR for estimating rock-mass-related TBM utilization and performance parameters: a case study[J]. Rock Mechanics and Rock Engineering, 2015, 48(3): 1305. [12] BENATO A, ORESTE P. Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics[J]. International Journal of Rock Mechanics and Mining Sciences, 2015, 74: 119-127. [13] 宋杰. 隧道施工不良地质三维地震超前探测方法及其工程应用[D].济南:山东大学,2016. SONG Jie. The three dimensional seismic ahead prospecting method and its application for adverse geology in tunnel construction[D]. Jinan: Shandong University, 2016. [14] 阮百尧, 邓小康, 刘海飞, 等. 坑道直流电阻率超前聚焦探测新方法研究[J]. 地球物理学报, 2009, 52(1): 289-296. RUAN Baiyao, DENG Xiaokang, LIU Haifei, et al. Research on a new method of advanced focus detection with DC resistivity in tunnel[J]. Chinese Journal of Geophysics, 2009, 52(1): 289-296. [15] 柳建新, 邓小康, 郭荣文, 等. 坑道直流聚焦超前探测电阻率法有限元数值模拟[J]. 中国有色金属学报, 2012, 22(3): 970-975. LIU Jianxin, DENG Xiaokang, GUO Rongwen, et al. Numerical simulation of advanced detection with DC focus resistivity in tunnel by finite element method[J]. Chinese Journal of Nonferrous Metals, 2012, 22(3): 970-975. [16] 李术才, 聂利超, 刘斌, 等. 多同性源阵列电阻率法隧道超前探测方法与物理模拟试验研究[J]. 地球物理学报, 2015, 58(4): 1434-1446. LI Shucai, NIE Lichao, LIU Bin, et al. Advanced detection and physical model test based on multi-electrode sources array resistivity method in tunnel[J]. Chinese Journal of Geophysics, 2015, 58(4): 1434-1446. [17] 聂利超. 隧道施工含水构造激发极化定量超前地质预报理论及其应用[D]. 济南:山东大学,2014. NIE Lichao. Quantitative identification theory and its application of advanced geological prediction for water-bearing structure using induced polarization in tunnel construction period[D]. Jinan: Shandong University, 2014. [18] 周志华. 机器学习[M]. 北京: 清华大学出版社, 2016. [19] PLATT J. Sequential minimal optimization: a fast algorithm for training support vector machines[R]. https://www.microsoft.com/en-us/research/publication/sequential-minimal-optimization-a-fast-algorithm-for-training-support-vector-machines/.[2016-12-16] (1998-04-21). |
| [1] | Jun LIU,Lijun HAN,Qingbin MENG. TBM comprehensive advanced geological prediction in a tunnel andits application in Yangling Tunnel [J]. Journal of Shandong University(Engineering Science), 2019, 49(4): 51-60. |
|