Mechanism and deterioration pattern of sandstone surrounding rock voiding at bottom of heavy-haul railway tunnel

Author:

Li Zi-qiang,Yang Shi-jian,Feng Jian-wen,Zhang Hang,Huang Wei-wei,Li Zheng

Abstract

AbstractThis study combines laboratory experiments and discrete element simulation methods to analyze the mechanism and deterioration patterns of sandstone surrounding rock voiding the bottom of a heavy-haul railway tunnel. It is based on previously acquired measurement data from optical fiber grating sensors installed in the Taihangshan Mountain Tunnel of the Wari Railway. By incorporating rock particle wastage rate results, a method for calculating the peak strength and elastic modulus attenuation of surrounding rock is proposed. Research indicates that the operation of heavy-haul trains leads to an instantaneous increase in the dynamic water pressure on the bottom rock ranging 144.4–390.0%, resulting in high-speed water flow eroding the rock. After 1–2 years of operation, the bottom water and soil pressures increase by 526.5% and 390.0%, respectively. Focusing on sandstone surrounding rock with high observability, laboratory experiments were conducted to monitor the degradation stages of infiltration, particle loss, and voiding of rock under the action of dynamic water flow. The impact of water flow on the “cone-shaped” bottom rock deformation was also clarified. The extent of rock deterioration and voiding was determined using miniature water and soil pressure sensors in conjunction with discrete element numerical simulations. The measured rock particle loss was used as a criterion. Finally, a fitting approach is derived to calculate the peak strength and elastic modulus attenuation of surrounding rock, gaining insight into and providing a reference for the maintenance and disposal measures for the bottom operation of heavy-haul railway tunnels.

Funder

China Postdoctoral Science Foundation

Chongqing Natural Science Foundation General Project

the Chongqing University of Science & Technology Graduate Innovation Program Project

Chongqing Graduate Research and Innovation Project

Publisher

Springer Science and Business Media LLC

Reference17 articles.

1. Yang, H. Y., Zhang, Z. Q. & Li, Y. J. Study on the influence of service state of heavy haul railway tunnel under the condition of basement void. J. Tria Sci. Eng. 19(02), 444–452 (2022).

2. Hua, Y., Yu, L., Wang, M. N. & Li, Z. Q. Finite element analysis of effect of contact area of tunnel bottom and surrounding rock on contact pressure. Subgrade Eng. 01, 64–68 (2017).

3. Xue, S. Research on the Mechanism of Subway Interval Structure and Bed Caving and Its Prevention Countermeasures (Southeast University, 2019).

4. Zhang, J. W., Huang, L. & Peng, T. X. Stability analysis of shield excavation face based on particle flow in different depths of sandy gravel stratum. Adv. Civil Eng. 2019, 1–14 (2019).

5. Dai, C. L. Study on the Mechanism of Base Void and Deterioration and Damage of Base Structure of Heavy-Haul Railway Tunnel by Discrete Element Method (Southwest Jiaotong University, 2019).

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