Three-dimensional slope modelling method and its stability based on 
coupled GIS and numerical simulation software

HAN Tong-chun; LIN Bo-wen; HE Lu; SU Yu-qin

doi:10.16285/j.rsm.2018.0439

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Three-dimensional slope modelling method and its stability based on coupled GIS and numerical simulation software

更新时间：2026-06-25

- Three-dimensional slope modelling method and its stability based on coupled GIS and numerical simulation software
- Vol. 40, Issue 7, Pages: 2855-2865(2019)
- 作者机构：
  
  1. 浙江大学滨海和城市岩土工程研究中心,浙江,杭州,310058
  2. 浙江省城市地下空间开发工程技术研究中心,浙江,杭州,310058
- 作者简介：
- 基金信息：
- DOI：10.16285/j.rsm.2018.0439
  CLC： TU443
- Online First：28 July 2019，
  
  Published：2019
- 稿件说明：
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HAN Tong-chun, LIN Bo-wen, HE Lu, et al. Three-dimensional slope modelling method and its stability based on coupled GIS and numerical simulation software[J]. 2019, 40(7): 2855-2865.
DOI：

HAN Tong-chun, LIN Bo-wen, HE Lu, et al. Three-dimensional slope modelling method and its stability based on coupled GIS and numerical simulation software[J]. 2019, 40(7): 2855-2865. DOI： 10.16285/j.rsm.2018.0439.

摘要

基于地理信息系统（GIS）和数值模拟软件，提出了一套适用性强，运行流畅的三维边坡建模和模拟计算技术方案。此方案能充分利用复杂边坡的勘察历史资料，真正实现了从勘察数据处理－建立三维边坡模型－稳定性分析－结果反馈的边坡模拟全过程。为建立满足精度要求的模型，深入探讨了地表和土层的建模理论和方法，借助GRASS完成边坡的三维建模，并对已建模型进行详尽的误差分析，为量化建模质量提出了相应方法。用Python语言实现GIS和数值模拟软件的耦合，通过多个自主编写的程序和数据接口，完成不同平台间的数据传递和格式转换，避免了传输过程中数据的丢失或失真，还可深度挖掘已建模型的数据。借助杭口岭隧道工程实例，对此方案进行验证。分析结果表明，利用此方案建立的三维边坡模型，建模速度快，精度高，能准确地反映真实边坡的情况，并搜索到边坡潜在的最危险区域。

Abstract

Based on the geographic information system (GIS) and numerical simulation software

a scheme was proposed to achieve the strong applicability and smooth operation of three-dimensional slope modelling and simulation. This scheme can make full use of the historical data of complex slopes and truly realize the entire process of slope simulation

including processing survey data

establishing slope model

stability analysis and result feedback. The modelling theory and method of surface and soil layers are analyzed in depth to establish a model that meets the accuracy requirements. The three-dimensional modelling of the slope is completed by GRASS

and detailed error analysis is discussed on the established model. The coupling of GIS and numerical simulation software is realized in the Python language. The data transfer and format conversion between different platforms can be completed through self-compiled programs and data interfaces

which can avoid the loss or distortion of the data in the transmission process. Python can also deeply mine the model data. Finally

this scheme is verified by Hangkouling tunnel project. The analysis results show that the three-dimensional slope model established by this scheme has characteristics of high speed and high precision and can accurately reflect the actual slope condition and search for the most dangerous area of the slope.

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