岩土力学 ›› 2026, Vol. 47 ›› Issue (5): 1728-1749.doi: 10.16285/j.rsm.2025.0432CSTR: 32223.14.j.rsm.2025.0432

• 岩土工程研究 • 上一篇    下一篇

边坡加固技术及策略智能化演进:从传统迈向智能自匹配

李得建,杜雨芮,郭泓君,张迎宾,余鹏程,陈强   

  1. 西南交通大学 极端环境岩土和隧道工程智能建养全国重点实验室,四川 成都 610031
  • 收稿日期:2025-04-28 接受日期:2025-08-13 出版日期:2026-05-11 发布日期:2026-05-12
  • 通讯作者: 余鹏程,男,1991年生,博士,副教授,博士生导师,主要从事岩体结构强度及岩石动力学、地震滑坡灾害全过程研究及防灾减灾、非连续变形方法(DDA)开发及应用的研究。E-mail: ypc@swjtu.edu.cn
  • 作者简介:李得建,男,1990年生,博士,副教授,博士生导师,主要从事地震滑坡失稳机制、边坡稳定性极限分析和边坡抗减震加固消能技术方面的研究。E-mail: lidejian@swjtu.edu.cn
  • 基金资助:
    国家自然科学基金委员会-中国国家铁路集团有限公司铁路基础研究联合基金项目(No. U2468214);国家自然科学基金项目(No. 52278372;No. 52208369;No. 52309138);四川省科技厅项目(No. 2025ZNSFSC0409);科技部国际合作项目(No. 2024YFE0111900)。

Intelligent evolution of slope reinforcement technology and strategies: from traditional methods to smart self-matching approaches

LI De-jian, DU Yu-rui, GUO Hong-jun, ZHANG Ying-bin, YU Peng-cheng, CHEN Qiang   

  1. State Key Laboratory of Intelligent Geotechnics and Tunnelling, Southwest Jiaotong University, Chengdu, Sichuan 610031, China
  • Received:2025-04-28 Accepted:2025-08-13 Online:2026-05-11 Published:2026-05-12
  • Supported by:
    This work was supported by the Joint Fund Project for Railway Basic Research by the National Natural Science Foundation of China and China State Railway Group Co., Ltd. (U2468214), the National Natural Science Foundation of China (52278372, 52208369, 52309138), the Sichuan Science and Technology Program (2025ZNSFSC0409) and the National Key R & D Program of China (2024YFE0111900).

摘要: 传统边坡加固技术在复杂工况条件下存在时间成本高、动态适应性差、方案优化比选能力不足等问题。基于此,梳理了由传统加固衍生出的智能自匹配加固技术的发展脉络与重点。通过研究分析发现:边坡稳定性分析与评价的智能化发展、传统加固方法的智能化变迁、智能加固设计的自匹配趋势等已有一定研究成果。智能自匹配设计的智能感知监测、数据分析处理、智能设计优化算法等关键技术,拓展了智能自匹配加固思维,但缺乏整体框架的系统综述。为此,对边坡稳定性分析与评价的智能化、传统加固方法的智能化、智能自匹配的整体框架进行梳理阐述,提出智能自匹配理念,为设计院方案比选提供参考,推动边坡加固技术向智能自匹配方向发展。

关键词: 边坡工程, 智能自匹配加固, 桩锚加固结构, 优化设计

Abstract: Traditional slope reinforcement methods face challenges, including high time costs, limited dynamic adaptability, and inadequate capabilities for optimizing and comparing schemes in complex geological conditions. This study reviews the developmental context and key aspects of intelligent self-matching reinforcement technology, which has evolved from traditional methods in the modern era. Research analysis reveals significant advancements in the intelligent development of slope stability calculations and evaluations, the intelligent transformation of traditional reinforcement methods, and the trend towards self-matching in intelligent reinforcement design. Key technologies, including intelligent perception and monitoring, data analysis and processing, and optimization algorithms for intelligent self-matching design, have broadened the understanding of intelligent self-matching reinforcement. However, a systematic review of the overall framework is lacking. Consequently, this paper organizes and elaborates on the intelligent development of slope stability calculations and evaluations, the intelligent transformation of traditional reinforcement methods, and the overall framework of intelligent self-matching. It proposes the concept of intelligent self-matching, offers a reference for design institutes to compare schemes, and promotes the advancement of slope reinforcement technology towards intelligent self-matching.

Key words: slope engineering, intelligent self-matching reinforcement, pile-anchor reinforcement structure, optimization design

中图分类号: TU 470
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