[1] 杨志斌.煤层底板突水灾害动水快速截流机理及预注浆效果定量评价[D].煤炭科学研究总院,2021.YANG Zhibin. Mechanism of the Rapid Interception of the Flowing Water and the Quantitative Evaluation of the Pre-grouting Effect of Water Inrush Disaster in Coal Seam Floor[D]. China Coal Research Institute, 2021.[2] 司马丹琪.矿山帷幕注浆防治水工程质量评价方法研究[D].武汉工程大学,2018.SIMA Danqi. Research on Quality Evaluation Method of Water Prevention and Control in Mine Curtain Grouting[D]. Wuhan Institute of Technology, 2018.[3] 冉德立.矿井深部高承压水工作面底板注浆改造效果评价方法研究[J].现代矿业,2020,36(8):103-105.RAN Deli. Renovation of floor grouting for high-confined water working face in deep mine research on effect evaluation method[J]. Modern Mining, 2020,36(8):103-105.[4] 肖有才.煤层底板突水的“破裂致突?渗流致突”机理与工程实践[D].中国矿业大学,2013.XIAO Youcai. Mechanism of Floor Water Inrush Caused by Rock-mass Breakage and Seepage Flowing of Confined-water and Its Engineering Practice[D]. China University of Mining and Technology, 2013.[5] 杨志斌,董书宁.压水试验定量评价注浆效果研究[J].煤炭学报,2018,43(7):2021-2028.YANG Zhibin, DONG Shuning. Study on quantitative evaluation of grouting effect by water pressure test[J]. Journal of China Coal Society, 2018,43(7):2021-2028.[6] 陈军涛,张毅,武善元,等.黄河北煤田顶底板定向注浆关键技术[J].煤矿安全,2021,52(5):104-111.CHEN Juntao, ZHANG Yi, WU Shanyuan, et al. Key technology of directional grouting in roof and floor of coal field in the north of the Yellow River[J]. Safety in Coal Mines, 2021,52(5):104-111.[7] 武善元,刘磊,陈军涛,等.黄河北煤田定向钻进精准注浆防治水技术研究[J].煤炭科学技术,2019,47(5):34-40.WU Shanyuan, LIU Lei, CHEN Juntao, et al. Research on precise grouting to prevent water disaster technology in the north of the Yellow River Coalfield[J]. Coal Science and Technology, 2019,47( 5):34-40.[8] 高东波,周凯.岩溶富水隧道可控注浆施工技术研究[J].现代隧道技术,2012,49(06):172-175.GAO Dongbo, Zhou Kai. Study of controllable grouting techniques for water-rich karst tunnels[J]. Modern Tunneling Technology, 2012,49(06):172-175.[9] 王兵强.深部条带采空区注浆效果综合评价技术与应用[J].煤炭工程,2021,53(8):98-104.WANG Bingqiang. Comprehensive evaluation of grouting effect in goaf of deep strip mining[J]. Coal Engineering, 2021,53(8):98-104.[10] 李占山,刘兆赓.基于XGBoost的特征选择算法[J].通信学报,2019,40(10):101-108.LI Zhanshan, LIU Zhaogeng. Feature selection algorithm based on XGBoost[J]. Journal on Communications, 2019,40(10):101-108.[11] 刘方园,王水花,张煜东.支持向量机模型与应用综述[J].计算机系统应用,2018,27(4):1-9.LIU Fangyuan, WANG Shuihua, ZHANG Yudong. Overview on Models and Applications of Support Vector Machine[J]. Computer Systems & Applications, 2018,27(4):1-9.[12] 张舒,赵新颖,张怡.基于BP神经网络的渔船智能评价系统[J].船舶工程,2020,42(S2):96-102.ZHANG Shu, ZHAO Xinying, ZHANG Yi. Intelligent Evaluation System of Fishing Vessel Based on BP Neural Network[J]. Ship Engineering, 2020,42(S2):96-102.[13] 李亚昊,朱昌淮,缪长军,等.东部矿区煤层底板区域注浆治理效果评价[J].地下水,2020,42(5):58-61,67.LI Yahao, ZHU Changhuai, MIAO Changjun, et al. Evaluation of grouting effect in coal seam floor in eastern mines[J]. Ground Water, 2020,42(5):58-61,67.[14] 赵立权.基于波速对渗透性反演的富水破碎砂岩注浆效果评价[D].湘潭大学,2020.ZHAO Liquan. Evaluation of Water-rich Crushed Sandstone Grouting Effect Based on Inversion for Permeability from Acoustic Velocity[D]. Xiangtan University, 2020.[15] 施龙青,黄纪云,高卫富,等.基于BP神经网络矿井突水点注浆量的预测[J].煤炭技术,2019,38(7):101-103.SHI Longqing, HUANG Jiyun, GAO Weifu, et al. Prediction of Grouting Amount of Mine Water Inrush Point Based on BP Neural Network[J]. Coal Technology, 2019,38(7):101-103.[16] 宫厚健,刘守强,曾一凡.基于BP神经网络的含水层富水性评价研究[J].煤炭技术,2018,37(9):181-182.GONG Houjian, LIU Shouqiang, ZENG Yifan. Evaluation Research on Water-richness of Aquifer Based on BP Artificial Neural Network[J]. Coal Technology, 2018,37(9):181-182.[17] 舒宗运,廉玉广,李江华.复杂构造条件下工作面综合防突水关键技术[J].煤炭科学技术,2018,46(7):190-196.SHU Zhongyun, LIAN Yuguang , LI Jianghua. Key technology of water inrush prevention and control in coal mining face under condition of complicated structure[J]. Coal Science and Technology, 2018,46(7):190-196.[18] 何兵.复杂地质条件下富水区域帷幕注浆技术研究及应用[D].重庆大学,2017.HE Bing. Study on Curtain Grouting Technology in Rich Water Area Under Complicated Geological Conditions[D]. Chongqing University, 2017.[19] 王德明,张庆松,张霄,等.隧道及地下工程注浆效果模糊评价方法的研究与应用[J].岩石力学与工程学报,2017,36(S1):3431-3439.WANG Deming, ZHANG Qingsong, ZHANG Xiao, et al. Research and application on tunnel and underground engineering grouting effect of the fuzzy evaluation method[J]. Chinese Journal of Rock Mechanics and Engineering, 2017,36(S1):3431-3439.[20] 赵伟.城市洪水灾害系统的智能评价模型研究[D].合肥工业大学,2009.ZHAO Wei. A Study of the Intelligent Modeling of Urban Flood Disaster System Evaluation[D]. Hefei University of Technology, 2009 |