The uncertainty analysis of 3D fault zone model and its application in metro engineering

HOU Weisheng; CHEN Xiuwen; YANG Qiaochu; CHEN Yonghua

doi:10.13471/j.cnki.acta.snus.2020.03.03.2020D011

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The uncertainty analysis of 3D fault zone model and its application in metro engineering

Research articles | 更新时间：2023-12-08

- The uncertainty analysis of 3D fault zone model and its application in metro engineering
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 60, Issue 3, Pages: 58-67(2021)
- 作者机构：
  
  1.中山大学地球科学与工程学院，广东广州510275
  2.广州地铁设计研究院股份有限公司，广东广州510010
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2020.03.03.2020D011
  CLC： P628+.1
- Published：25 May 2021，
  
  Published Online：14 January 2021，
  
  Received：03 March 2020，
  
  Accepted：16 March 2020
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侯卫生,陈秀文,杨翘楚等.破碎带三维模型不确定性分析及其在地铁工程中的应用[J].中山大学学报(自然科学版),2021,60(03):58-67.

HOU Weisheng,CHEN Xiuwen,YANG Qiaochu,et al.The uncertainty analysis of 3D fault zone model and its application in metro engineering[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2021,60(03):58-67.
侯卫生,陈秀文,杨翘楚等.破碎带三维模型不确定性分析及其在地铁工程中的应用[J].中山大学学报(自然科学版),2021,60(03):58-67. DOI： 10.13471/j.cnki.acta.snus.2020.03.03.2020D011.

HOU Weisheng,CHEN Xiuwen,YANG Qiaochu,et al.The uncertainty analysis of 3D fault zone model and its application in metro engineering[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2021,60(03):58-67. DOI： 10.13471/j.cnki.acta.snus.2020.03.03.2020D011.

摘要

依托现代空间信息理论和技术，三维地质模型给出了地质对象更易于理解的空间透视图，为地下空间利用的设计、开发和决策提供基础数据和支持。然而，由数据稀疏性和结构复杂性所引起的不确定性严重制约了三维地质模型的深入应用。以钻孔分层数据误差为基础，构建了地质结构面不确定性分布函数；以地质属性概率值为参量，利用蒙特卡洛模拟方法模拟不同扰动条件下地质结构面不确定性分布。广州地铁某站址破碎带不确定性实例研究结果表明：以地质属性概率为参量的地质结构面不确定性分析方法不仅能融合不同类型的数据误差，还能很好地把地质属性和空间误差关联起来；误差扰动分析函数中的扰动因子控制了未采样区域的断裂面起伏形态；利用断裂属性概率分布的特征可以准确再现断裂分布与地铁工程之间的空间关系，为地铁工程的设计与施工的决策提供了基础。

Abstract

Based on the modern geoinformatics theory and techniques， 3D geological model provides a spatial perspective view of structures and attributes of geological bodies， which provides basic data and support for the design， development and decision-making of underground space. However， uncertainties， caused by the discretization and sparsity of observed data， complexity of geological body and randomness of modeling algorithm， strictly limit the effective application of the 3D geological model. Based on the data error of stratigraphic contacts， a function for uncertainty analysis of geological subsurface is built up in this study. The uncertainty analysis of geological structures is implemented with different perturbance conditions by the Monte Carlo simulation， in which the geological attribute probability （GAP） is used as simulating parameter. The concrete example of fault zone uncertainty at one of the stations of Guangzhou Metro illustrates that the proposed method of which the GAP is used as a parameter not only can integrate different types of data error， but also can connect geological attributes and spatial data error. The perturbance factor is the key to impact the shape of fault surface in the unsampled area， and the suite of GAP models represents the spatial relationship between the fault and metro engineering. Therefore， the proposed method can effectively guide the design and construction of metro engineering.

关键词

破碎带不确定性地质属性概率三维地质模型地铁工程

Keywords

fault zoneuncertaintygeological attribute probability3D geological modelmetro engineering

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Related Institution

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．中山大学地理科学与规划学院

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