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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 发表日期：2009    内容类型：会议论文     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 ENVIRONMENTAL GEOLOGY DISASTERS PREVENTION OF KARST TUNNEL 会议论文 7th International Symposium on Rockburst and Seismicity in Mines, AUG 21-23, 2009 作者:  Ge, Yan-Hui;  Li, Shu-Cai;  Zhang, Qing-Song;  Sun, Guo-Fu;  Wang, Ming-Bin 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/31 Optimization of Postal Express Mail Network Based on Swarm Intelligence 会议论文 Joint 48th IEEE Conference on Decision and Control (CDC) / 28th Chinese Control Conference (CCC), DEC 15-18, 2009 作者:  Song, Qing;  Wang, Xiaofan;  Li, Xiaolei;  Zhang, Chengjin 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 COMPREHENSIVE DETECTION SYSTEM OF GEOLOGICAL PRECURSORY CHARACTERISTICS FOR ROCK BURSK AND WATER INRUSH 会议论文 7th International Symposium on Rockburst and Seismicity in Mines, AUG 21-23, 2009 作者:  Xu, Zhen-Hao;  Li, Shu-Cai;  Li, Li-Ping;  Zhang, Qing-Song;  Ding, Wan-Tao 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 EXPERIMENTAL STUDY ON DYNAMIC BEHAVIOR FOR BLASTING EXCAVATION OF LARGER-SPAN SHALLOW TUNNEL 会议论文 7th International Symposium on Rockburst and Seismicity in Mines, AUG 21-23, 2009 作者:  Zhang, Qing-Song;  Gao, Yang;  Li, Shu-Cai;  Xu, Zhen-Hao 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/31 EXPERIMENTAL STUDY ON WATER-INRUSH MECHANISM OF TUNNELS IN KARST AREA 会议论文 7th International Symposium on Rockburst and Seismicity in Mines, AUG 21-23, 2009 作者:  Li, Li-Ping;  Li, Shu-Cai;  Li, Shu-Chen;  Zhang, Qing-Song;  Ge, Yan-Hui 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 ANALYTIC SOLUTION OF VERTICAL INCIDENT P WAVE AMPLITUE REFLECTED AT THE FREE SURFACE IN A VISCOELASTIC MEDIUM 会议论文 7th International Symposium on Rockburst and Seismicity in Mines, AUG 21-23, 2009 作者:  Zhang, Bo;  Li, Shu-Cai;  Zhang, Qing-Song 收藏  |  浏览/下载：1/0  |  提交时间：2019/12/31 Optimization of Postal Express Mail Network Based on Swarm Intelligence 会议论文 作者:  Qing Song;  Xiaofan Wang;  Xiaolei Li;  Chengjin Zhang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/31 Optimization of Postal Express Mail Network Based on Swarm Intelligence  Office