Forward simulation of unfavorable geological bodies and analysis of waveform characteristics based on time domain finite difference method

Author:

Shuai You1,Yang Renshu1,Yang Liyun1,Yun Duan2,Xiangyu Liu3,Chenglong Xiao4,Xiang Zhang1,Dongze Li1

Affiliation:

1. China University of Mining and Technology (Beijing)

2. BGRIMM Technology Group

3. University of Science and Technology Beijing

4. Beijing Institute of Technology

Abstract

Abstract Since there are few advanced detection studies on rock-breaking sources of shaft boring machines, this study establishes a forward evolution model of bad geological bodies based on the time-domain finite difference method(FDTD), and analyzes the waveform characteristics of seismic records by improving the time-frequency analysis method of HHT, and use wavelet variation for result verification, the applicability of this method to seismic signal analysis is verified. Research showed that the energy intensity of the direct wave is much greater than the energy intensity of the reflected wave, the main energy of the direct wave is concentrated between 0 ~ 90Hz, the main energy of the reflected wave is concentrated between 0 ~ 110Hz, and the overall energy of the cave in the bad geological body is the largest

Publisher

Research Square Platform LLC

Reference25 articles.

1. Xi Jinping, Speech at the National Science and Technology Innovation Conference, the Academician Conference of the two Chambers, the Ninth National Congress of the China Association for Science and Technology[J]. Science & Technology Association Forum, 2016[06]: 4–9.

2. Evaluation of cutting efficiency during TBM disc cutter excavation within a Korean granitic rock using linear-cutting-machine testing and photogrammetric measurement;Cho Jung-Woo;Tunnelling and Underground Space Technology

3. "Comprehensive ahead prospecting for hard rock TBM tunneling in complex limestone geology: a case study in Jilin;Liu Bin;China." Tunnelling and Underground Space Technology,2019

4. Sun huaifeng, al et, State of art and trends of advanced geological prediction in tunnel construction[J];Li Sucai;Chinese Journal of Rock Mechanics and Engineering,2014

5. Application and research of comprehensive advanced geological prediction technology in tunnel[J];Jun Luo;Journal of Railway Science and Engineering,2017

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3