期刊文献+

基于随机源模型的新型微动探测技术在上软下硬地层盾构隧道中的应用研究 被引量:10

Research on Application of Random Source Model Based New Microtremor Survey Technology to Shield Tunnelling in Upper Soft and Lower Hard Strata
在线阅读 下载PDF
导出
摘要 盾构掘进穿越上软下硬地层一直属于高风险工程。为降低施工风险及施工成本,迫切需要在盾构施工前获取更全面、更精准的区域地质信息,常规地勘方法因各方面的限制,难以提供全面精准的地质信息。文章依托工程项目,采用基于随机源模型的新型微动探测技术,针对上软下硬地层的微动数据采集、处理分析以及地质解释等系列环节进行了研究,获取了区域连续高精度地层剖面图,识别了可能存在的孤石、基岩凸起等特殊地质体,经地质钻孔验证达到了较高的准确率。并基于微动探测成果对地质高风险区域进行了相应预处理,取得了良好的工程实效。 Shield tunnelling in the upper soft and lower hard strata has always been accompanied by high construc⁃tion risks.In order to reduce the risk and cost,it is important to obtain accurate and comprehensive local geological information before tunnelling.However,as for the most of the conventional geological survey methods,it is difficult to provide the insight into regional stratigraphic information due to the several limitations.In this paper,it studies the random source model based microtremor survey method(MSM)especially in terms of data acquisition,process⁃ing,analysis and geological interpretation for the upper soft and lower hard strata.The continuous high precision stratigraphic profiles are obtained,and the existence of boulder stone and bedrock intrusion is precisely identified,which is verified by the geological drillings.Based on the microtremor survey results,some pretreatment measures have been applied to those high-risk area accordingly,achieving the good engineering effects.
作者 张新 ZHANG Xin(The 2nd Engineering Co.Ltd,China Railway Construction Bridge Engineering Bureau Group,Shenzhen 518083)
出处 《现代隧道技术》 EI CSCD 北大核心 2020年第5期43-50,共8页 Modern Tunnelling Technology
关键词 盾构隧道 上软下硬地层 随机源模型 微动探测技术 预处理 Shield tunnelling Upper soft and lower hard strata Random source model Microtremor survey meth⁃od Pretreatment
  • 相关文献

参考文献2

二级参考文献14

  • 1何正勤,丁志峰,贾辉,叶太兰.用微动中的面波信息探测地壳浅部的速度结构[J].地球物理学报,2007,50(2):492-498. 被引量:123
  • 2Feng Shaokong, Sugiyama T, Yamanaka H. Application of sensitivity analysis to array design for microtremor array survey[A]. In:Proceedings of the 102nd SEGJ Conference[C]. [s. l.]: [s. n.], 2000,140-144.
  • 3Capon J. High-resolution frequency-wavenumbcr spectrum analysis[J].Proc. IEEE, 1969, 57:1408-1418.
  • 4Capon J. Application of detection and estimation theory to large array seismology[J]. Proc. IEEE, 1969, 58:760-770.
  • 5Yamanaka H, Ishida H. Application of genetic algorithma to an inversion of surface-wave dispersion data[J]. Bull, Seism. Soc. Am.,1996, 86:436-444.
  • 6Haskell N A. The dispersion of surfae, e waves on multilayered media[J].Bull., Seism. Soc. Am., 1953, 43:17-34.
  • 7Knopoff L, A matrix method for elastic wave problems[J]. Bull.,Seism. Soc. Am., 1964, 54: 431-438.
  • 8Feng Shaokong, Takeshi Sugiyama, Hiroaki Yamanaka. Multi-site joint inversion in array microtremor survey[J]. BUTSURI-TANSA,2003, 56(1): 1-11.
  • 9Toksoz M N, Lacoss R T. Microtremors--mode structure and sources[J]. Science, 1968, 159: 872-873.
  • 10Haubrich R A. Microseisms[A]. In: International Dictionary of Geophysics, 2[M]. New York: Pergamon Press, 1967, 975-977.

共引文献155

同被引文献98

引证文献10

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部