强风化岩填筑高路堤变形与失稳风险评估综述
A Review on of Deformation Stability Analysis and Risks Evaluation of High Embankments Built with Strongly Weathered Rock
DOI: 10.12677/hjce.2026.158200, PDF,    科研立项经费支持
作者: 陈 浩, 李 聪*：武汉轻工大学土木工程与建筑学院，湖北 武汉；黄硕鑫：中国市政工程华北设计研究总院有限公司，天津
关键词: 强风化岩；高路堤；变形稳定性；动态风险评估；公路；Weathered Rock； High Embankment； Deformation Stability； Dynamic Risk Assessment； Highway
摘要: 强风化岩填筑高填方路堤因填料水敏、高填效应等易发生沉降变形和失稳。本文从风化岩填方路堤填料力学特性、失稳风险影响因素、风险评估方法及动态评估模型等方面综述了相关研究进展。分析表明，风化岩填料湿化软化、湿陷、崩解特性会加剧路堤变形失稳；路堤风险评估正由传统静态评估法向概率分析、监测耦合和综合评价方向发展，动态评估呈现概率模型与实时监测分析结合的新趋势。最后指出了现有研究不足并提出未来研究方向。
Abstract: The high embankment constructed with strongly weathered rock is prone to settlement deformation and instability due to the water sensitivity of the fill material and the high embankment effect. This paper reviews the research progress in aspects such as the mechanical properties of the fill material for weathered rock embankment, the influencing factors of instability risk, the risk assessment methods, and the dynamic assessment model. The analysis shows that the wetting, softening, settlement, and disintegration characteristics of the weathered rock fill material will aggravate the deformation and instability of the embankment. The risk assessment of the embankment is developing from the traditional static assessment method towards probability analysis, monitoring coupling, and comprehensive evaluation. The dynamic assessment presents a new trend of combining probability models with real-time monitoring analysis. Finally, the deficiencies of the existing research are pointed out and future research directions are proposed.
文章引用：陈浩, 李聪, 黄硕鑫. 强风化岩填筑高路堤变形与失稳风险评估综述[J]. 土木工程, 2026, 15(8): 49-57. https://doi.org/10.12677/hjce.2026.158200

参考文献

[1] 张秀梅, 邱华, 耿福强. 风化岩路堤填料强度与变形特性研究[J]. 交通世界, 2023(9): 43-45.
[2] 梅敏. 强风化花岗岩路用性质及高路堤稳定性分析研究[J]. 湖南交通科技, 2015, 41(1): 11-13, 67.
[3] 杨帆, 侯克鹏, 谢永利. 强风化云母石英片岩力学参数确定方法[J]. 长安大学学报(自然科学版), 2012, 32(2): 29-33, 38.
[4] Chen, X.Y., Yan, H.Z. and Liu, X.X. (2011) Study on Engineering Characteristics of Highly Weathered Weak Rock. Advanced Materials Research, 261, 1309-1312.
https://doi.org/10.4028/www.scientific.net/amr.261-263.1309
[5] 刘新喜, 夏元友, 刘祖德, 等. 强风化软岩路基填筑适宜性研究[J]. 岩土力学, 2006(6): 903-907.
[6] 刘传正, 赵信文, 昝超予, 等. 梅大高速路堤“5∙1”塌方灾害链成因分析[J]. 工程地质学报, 2026, 34(1): 198-209.
[7] An, W., Wang, L. and Chen, H. (2020) Mechanical Properties of Weathered Feldspar Sandstone after Experiencing Dry‐Wet Cycles. Advances in Materials Science and Engineering, 2020, Article ID: 6268945.
https://doi.org/10.1155/2020/6268945
[8] He, X., Liu, C., Zhang, X., Wu, C. and Weng, Z. (2024) Disintegration Characteristics of Highly Weathered Granite under the Influence of Scouring. Water, 16, Article 496.
https://doi.org/10.3390/w16030496
[9] Liu, W. and Zhang, Z. (2020) Experimental Characterization and Quantitative Evaluation of Slaking for Strongly Weathered Mudstone under Cyclic Wetting-Drying Condition. Arabian Journal of Geosciences, 13, Article No. 65
https://doi.org/10.1007/s12517-019-5044-2
[10] 刘新喜, 夏元友, 蔡俊杰, 等. 降雨入渗下强风化软岩高填方路堤边坡稳定性研究[J]. 岩土力学, 2007(8): 1705-1709.
[11] 张宝华, 尹中文, 关宏涛, 等. 云母片岩风化土路基填料湿化变形研究[J]. 路基工程, 2022(6): 60-67.
[12] 刘翔, 陈国兴, 孙田. 花岗岩全风化土湿化变形及强度的试验研究[J]. 岩土力学, 2012, 33(11): 3313-3317.
[13] 方迎潮, 张垚, 葛华, 等. 风化残积砂土相对密实度及含水率对抗剪强度的影响[J]. 中国水土保持科学(中英文), 2024, 22(3): 100-108.
[14] Du, J., Shen, X., Li, C., Zhu, W. and Feng, G. (2023) Effect of Dry-Wet Cycles on the Strength and Deformation of the Red-Bed Rockfill Material in Western Yunnan. Frontiers in Earth Science, 11, Article 1192269.
https://doi.org/10.3389/feart.2023.1192269
[15] 郭志边, 杨伟红, 程乾. 斜坡高填方路堤开裂病害及稳定性研究[J]. 路基工程, 2022(4): 223-228.
[16] Showkat, R., Mohammadi, H. and Babu, G.L.S. (2022) Effect of Rainfall Infiltration on the Stability of Compacted Embankments. International Journal of Geomechanics, 22, Article ID: 04022104.
https://doi.org/10.1061/(asce)gm.1943-5622.0002425
[17] 张华, 张文勰, 徐晨, 等. 红层软岩高填方路堤工后沉降数值模拟[J]. 路基工程, 2022(6): 146-151.
[18] 许孝飞, 朱耀光, 贺钰涛, 等. 绢云母片岩土石混合料高填方路堤变形特征和规律研究[J]. 交通科技, 2023(5): 10-16.
[19] 蒋正舜, 张国才, 段诚仕, 等. 风化花岗岩超高填方路堤变形规律研究[J]. 粘接, 2025, 52(5): 131-134, 138.
[20] 庄前兵, 高飞, 梁伟君, 等. 黄土高填方路堤沉降影响因素及控制技术研究[J]. 城市道桥与防洪, 2024(4): 200-205, 23.
[21] 刘忠祥. 山区高填方路堤沉降规律研究[J]. 黑龙江交通科技, 2022, 45(11): 10-12.
[22] 文成章. 新型固化剂改良云母片岩风化土的路用性能及机理研究[D]: [硕士学位论文]. 阜新: 辽宁工程技术大学, 2023.
[23] 王鹏, 杨龙伟, 李永勤, 等. 高填方路堤滑坡成因分析及防护对策[J]. 地基处理, 2024, 6(S1): 95-102, 110.
[24] Zhang, H., Zhang, C., Zheng, W., Wang, X. and Zhang, J. (2024) Analysis of the Stability of a High Fill Slope under Different Gradients and Precipitation Conditions. Applied Sciences, 14, Article 7590.
https://doi.org/10.3390/app14177590
[25] 孙宏磊, 吕江, 赵晖, 等. 干湿循环对高填方路堤边坡稳定性影响研究[J]. 浙江工业大学学报, 2021, 49(1): 66-71.
[26] 黄发明, 陈杰, 杨阳, 等. 滑坡易发性相关致灾环境因子研究的综述与展望[J]. 地质科技通报, 2025, 44(2): 14-37.
[27] 李泽霖. 山区公路高填方路基的稳定性分析[J]. 交通世界, 2025(Z1): 133-135.
[28] 蒋辽, 喻兴, 刘林洁, 等. 基于蒙特卡罗模拟的填方边坡可靠度分析[J]. 地下空间与工程学报, 2017, 13(S2): 693-697.
[29] Waddell, P. (2023) The Impact of Assumptions on Deterministic and Probabilistic Analyses of Earth Fill Embankments. Australian Geomechanics Journal, 58, 99-116.
https://doi.org/10.56295/agj5844
[30] Chakraborty, R. and Dey, A. (2022) Probabilistic Slope Stability Analysis: State-of-the-Art Review and Future Prospects. Innovative Infrastructure Solutions, 7, Article No. 177.
https://doi.org/10.1007/s41062-022-00784-1
[31] Das, T. and Choudhury, D. (2024) Bayesian Network Based Probabilistic Modelling of Earthquake Induced Landslides: Slope, Embankment, Dams and Landfills. Japanese Geotechnical Society Special Publication, 10, 372-377.
https://doi.org/10.3208/jgssp.v10.os-2-04
[32] Wu, W. (2017) Lulu Zhang, Jinhui Li, Xu Li, Jie Zhang, Hong Zhu: Rainfall-Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment. Acta Geotechnica, 12, 1175-1175.
https://doi.org/10.1007/s11440-017-0591-8
[33] 贺佳. 高填方路基沉降数值模拟与现场监测分析[J]. 北方交通, 2023(10): 26-29.
[34] 邓志刚, 朱绍诚, 辛鹏, 等. 基于FLAC3D模型的高填方路基沉降变化规律分析[J]. 西部交通科技, 2025(6): 23-25, 65.
[35] Bao, H., Liu, L., Lan, H.X., Peng, J.B., Yan, C.G., Tang, M., et al. (2024) Evolution of High-Filling Loess Slope under Long-Term Seasonal Fluctuation of Groundwater. Catena, 238, Article ID: 107898.
https://doi.org/10.1016/j.catena.2024.107898
[36] Xue, Y., Chen, N.S., Tang, R.X., Yang, Z.Y., Jiao, M.J., Wen, T., et al. (2025) Slope Failure Mechanism of the “5·1” Meida Highway Collapse in Guangdong, China: Interaction between Multi-Source Water and Weathered Granite Soil. Landslides, 22, 1199-1212.
https://doi.org/10.1007/s10346-025-02455-5
[37] 杨校辉, 朱彦鹏, 周勇, 等. 山区机场高填方边坡滑移过程时空监测与稳定性分析[J]. 岩石力学与工程学报, 2016, 35(S2): 3977-3990.
[38] 王智超, 周芊妤, 熊赟, 等. 高填方多级挡墙路堤变形及稳定性分析[J]. 防灾减灾工程学报, 2018, 38(6): 980-988.
[39] Yang, E., Wang, K., He, J., Liu, K., Wang, J., Zhang, H., et al. (2025) Settlement Prediction of a High Embankment Based on Non-Linear Regression and Neural Network Algorithm. Transportation Geotechnics, 50, Article ID: 101443.
https://doi.org/10.1016/j.trgeo.2024.101443
[40] 刘桂强, 李宏文, 谭玲, 等. 基于实时位移监测的风化花岗岩边坡失稳风险动态调控技术[J]. 公路交通技术, 2020, 36(2): 14-19.
[41] Yao, A., Gong, Y., Li, Y., Tian, T. and Xu, C. (2022) Mountain-Expressway Slope Safety Based on the Online Monitoring System and Fuzzy Comprehensive Evaluation. Journal of Testing and Evaluation, 50, 1906-1919.
https://doi.org/10.1520/jte20210423
[42] Zhang, Q., Su, Q., Liu, B., Pei, Y., Zhang, Z. and Chen, D. (2023) Comprehensive Performance Evaluation of High Embankments in Heavy-Haul Railways Using an Improved Extension Model with Attribute Reduction Algorithm. Journal of Intelligent & Fuzzy Systems, 44, 2673-2692.
https://doi.org/10.3233/jifs-222562
[43] 丁瑞力, 郭祺, 白雪, 等. 高速公路穿越煤矿采空区稳定性风险评价研究[J]. 现代信息科技, 2023, 7(13): 136-140, 144.
[44] 李瀚, 左伟俊, 邢浩, 等. 基于模糊综合评价法的岩质边坡开挖施工风险评估[J]. 公路工程, 2024, 49(6): 79-86.
[45] 吴新栋, 王文博, 杨玉莹. 基于模糊综合评价的隧道洞口边坡稳定性分析方法[J]. 工程技术研究, 2025, 10(2): 46-49.
[46] 张军, 郑菁菁, 蒋恺. 高填方路堤工程施工安全专项风险评估方法研究[J]. 建筑安全, 2023, 38(11): 64-69.
[47] 何韬. 基于博弈论组合赋权的高填方路基施工风险模糊综合评价研究[D]: [硕士学位论文]. 长沙: 长沙理工大学, 2025.
[48] Jin, L., Liu, P., Yao, W. and Wei, J. (2024) A Comprehensive Evaluation of Resilience in Abandoned Open-Pit Mine Slopes Based on a Two-Dimensional Cloud Model with Combination Weighting. Mathematics, 12, Article 1213.
https://doi.org/10.3390/math12081213
[49] Deng, Z., Xu, L., Su, Q., He, Y. and Li, Y. (2024) A Novel Method for Subgrade Cumulative Deformation Prediction of High-Speed Railways Based on Empiricism-Constrained Neural Network and Shapley Additive Explanations Analysis. Transportation Geotechnics, 49, Article ID: 101438.
https://doi.org/10.1016/j.trgeo.2024.101438
[50] 卢鑫月, 许成顺, 侯本伟, 等. 基于动态贝叶斯网络的地铁隧道施工风险评估[J]. 岩土工程学报, 2022, 44(3): 492-501.
[51] Guo, X., Ji, J., Khan, F., Ding, L. and Tong, Q. (2021) A Novel Fuzzy Dynamic Bayesian Network for Dynamic Risk Assessment and Uncertainty Propagation Quantification in Uncertainty Environment. Safety Science, 141, Article ID: 105285.
https://doi.org/10.1016/j.ssci.2021.105285
[52] 柳彤晖, 豆红强, 纪歆雅. 基于马尔可夫链理论考虑土层变异性的边坡随机场模型[J]. 水利与建筑工程学报, 2021, 19(3): 111-116.
[53] 尹成. 连续强降雨作用下高速公路陡坡路堤变形动态监测及病害处治研究[J]. 西部交通科技, 2025(5): 63-66.
[54] 于凯凯. 神朔铁路高路堤变形监测及灾变智能分析[D]: [硕士学位论文]. 北京: 北京交通大学, 2025.
[55] 何训林, 刘文劼, 潘世强, 等. 无人机和云平台技术在超高填路堤风险管控中的应用[J]. 公路工程, 2023, 48(4): 113-120.
[56] 赵延林, 刘旭, 丁志刚, 等. 高填方路堤沉降的预测方法[J]. 黑龙江科技大学学, 2020, 30(4): 385-389.
[57] Liu, S.H. and Han, W.X. (2022) Centrifugal Model Test on the Settlement of a High Embankment Fill. In: Physical Modelling in Geotechnics, Routledge, 737-740.
https://doi.org/10.1201/9780203743362-133
[58] 刘冠男, 王志朋, 王玉田, 等. 基于动态权重的隧道施工失稳风险评估方法研究[J]. 北方交通, 2022(12): 70-74.
[59] Ahmad, F., Samui, P. and Mishra, S.S. (2024) Machine Learning-Enhanced Monte Carlo and Subset Simulations for Advanced Risk Assessment in Transportation Infrastructure. Journal of Mountain Science, 21, 690-717.
https://doi.org/10.1007/s11629-023-8388-8
[60] Si, P., Tang, L., Tian, S., Ling, X. and Liu, Y. (2025) Stacked Machine Learning-Based Probabilistic Seismic Demand and Risk Assessment of Railway Embankments with Variable Slopes. Engineering Applications of Artificial Intelligence, 162, Article ID: 112245.
https://doi.org/10.1016/j.engappai.2025.112245

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