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黄土地区极端降雨后路堤滑塌灾害机理及防治技术研究

Study on the disaster mechanism and prevention technology of embankment slip-collapse after extreme rainfall in the loess area.

作者信息

Fan Jiawei, Zhang Yufang, Peng Yang, Xing Zheyuan, Yuan Kun, Cui Jian, Liu Bo, Zhou Wenjiao

机构信息

Railway Engineering Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China.

National Key Laboratory of High-Speed Railway Track System, China Academy of Railway Sciences Corporation Limited, Beijing, 100081, China.

出版信息

Sci Rep. 2025 Jul 1;15(1):20613. doi: 10.1038/s41598-025-04920-6.

Abstract

This study investigates railway embankment slip-collapse disasters triggered by July 2021 extreme rainfall in Zhengzhou, China, through field investigations, in-situ tests, laboratory tests, field monitoring, and numerical simulations. The research results indicate that: (1) Zhengzhou loess experiences accelerated strength degradation when moisture content exceeds plastic limit, with shear modulus, cohesion, and internal friction angle decreasing rapidly beyond this threshold. (2) Embankment slip-collapse, a geohazard characterized by shallow failures in slope surfaces, is primarily triggered by hydro-mechanical coupling under extreme rainfall, with deformation severity controlled by infiltration intensity. (3) Three stages of slope stability division criteria are proposed, namely metastable zone, critical instability zone, and instability zone. The critical threshold of moisture content of 20.71% under these conditions provides a quantifiable benchmark for early warning systems targeting surface collapse prevention. (4) A steel grouting pipe reinforcement technique demonstrated effective stabilization, achieving 251 kN anchoring force and improved stratum integrity. Surface wave tests, numerical simulations, and field monitoring confirmed significant displacement control and enhanced slope stability under extreme rainfall conditions. The research results provide critical insights for transportation infrastructure protection against extreme rainfall conditions.

摘要

本研究通过现场调查、原位测试、室内试验、现场监测和数值模拟,对2021年7月中国郑州极端降雨引发的铁路路堤滑塌灾害进行了调查。研究结果表明:(1)郑州黄土在含水量超过塑限时强度加速退化,超过该阈值后剪切模量、黏聚力和内摩擦角迅速降低。(2)路堤滑塌是一种以坡面浅层破坏为特征的地质灾害,主要由极端降雨下的水力-力学耦合引发,变形严重程度受入渗强度控制。(3)提出了边坡稳定性划分标准的三个阶段,即亚稳区、临界失稳区和失稳区。在这些条件下,含水量20.71%的临界阈值为针对地表塌陷预防的预警系统提供了可量化的基准。(4)一种钢注浆管加固技术显示出有效的稳定作用,实现了251kN的锚固力并改善了地层完整性。面波测试、数值模拟和现场监测证实,在极端降雨条件下,该技术对位移有显著控制作用并增强了边坡稳定性。研究结果为交通基础设施抵御极端降雨条件提供了关键见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a36b/12217268/70d7f0ad168d/41598_2025_4920_Fig1_HTML.jpg

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