基于潜势场理论的三维复杂地质模型参数精细化建模与分析
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摘要
由于实际工程中可获得的地质资料有限,而地层关系复杂,传统的地质建模方法进行区域地质体建模精度可能不足,无法满足工程需求;而潜势场理论通过集成地层界面接触数据和方向数据,并利用协克里金方法进行梯度场插值,使得地质模型具有较高的准确度,更符合实际地层结构。本文基于潜势场理论,以南京地铁5号线某区间工程钻孔数据为主要数据源,经过模型尺寸分析、地层合并及土层接触关系分析等步骤,建立了精细化的三维地质模型;并对地铁穿越的关键土层③-1b1-2层压缩模量的空间分布特征通过属性建模进行了精细化分析。结果显示基于潜势场理论的三维地质建模方法对于复杂地质条件建模具有明显的优势,对关键土层参数的空间分布规律进行精细化分析有利于指导工程设计与施工。
Due to the limited geological data and the complex stratigraphic relationship in actual project,the accuracy of traditional geological modeling methods could not meet the engineering requirements in precision. Potential field theory integrates contact data and direction data of stratum interface and interpolates gradient field by co-Kriging method,which makes the geological model more accurate and more in line with the actual stratum structure. Based on the potential field theory,and taking borehole data of a section of Nanjing Metro Line 5 as the main data source,this paper established a refined three-dimensional geological model through some steps of model size analysis,stratum merging,soil contact analysis,and etc. A refined analysis is also conducted on the spatial distribution characteristics of compression modulus of the key soil layer③-1 b1-2 crossed by metro line. The results show that there are obvious advantages existed in the three-dimensional geological modeling method based on potential field theoryfor the modeling of complex geological conditions. The refined analysis of the spatial distribution of key soil parameters is of great significance for guiding engineering design and construction.
Due to the limited geological data and the complex stratigraphic relationship in actual project,the accuracy of traditional geological modeling methods could not meet the engineering requirements in precision. Potential field theory integrates contact data and direction data of stratum interface and interpolates gradient field by co-Kriging method,which makes the geological model more accurate and more in line with the actual stratum structure. Based on the potential field theory,and taking borehole data of a section of Nanjing Metro Line 5 as the main data source,this paper established a refined three-dimensional geological model through some steps of model size analysis,stratum merging,soil contact analysis,and etc. A refined analysis is also conducted on the spatial distribution characteristics of compression modulus of the key soil layer③-1 b1-2 crossed by metro line. The results show that there are obvious advantages existed in the three-dimensional geological modeling method based on potential field theoryfor the modeling of complex geological conditions. The refined analysis of the spatial distribution of key soil parameters is of great significance for guiding engineering design and construction.
引文
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[10]廖利钊,郭谱,杨俊.地铁隧道盾构施工地表变形影响因素分析[J].土木建筑工程信息技术,2016,8(2):84-89.
[11] Lajaunie,C.,Courrioux,G.,Manuel,L. Foliation Fields and3D Cartography in Geology:Principles of A Method Based on Potential Interpolation. Math Geol,1997,29(4):571-584.
[12] Calcagno,P.,Chiles,J. P.,Courrioux,G.,et al. Geological Modelling from Field Data and Geological Knowledge Part I. Modelling Method Coupling 3D Potential-Field Interpolation and Geological Rules. Phys Earth Planet In,Dec,2008,171(1-4):147-157.
[13] Chiles,J. P.,Aug,C.,Guillen,A.,et al. Modelling the Geometry of Geological Units and Its Uncertainty in 3D from Structural Data-The Potential-Field Method. Aimm Spectr Ser,2005,(14):329-336.
[14]李培楠.基于多源数据的复杂地质建模及其不确定性分析和应用[D].上海:同济大学,2013.
[2]徐俊,李小帅,韩旭,等.巴基斯坦Karot水电站工程多专业三维协同设计[J].土木建筑工程信息技术,2017,9(6):1-6.
[3]李新星.基于DUSE的数字———数值一体化核心技术研究及其应用[D].上海:同济大学,2008.
[4]尹龙,王启光,路耀邦.基于BIM技术的仿真模拟在地铁暗挖隧道施工中的应用[J].土木建筑工程信息技术,2015,7(6):73-79.
[5]陆文哲,陶海冰,朱益军,等.基于地层层序表集的三维地层建模方法研究[J].岩土力学,2013,34(02):585-592.
[6]郭艳军,潘懋,王喆,等.基于钻孔数据和交叉折剖面约束的三维地层建模方法研究[J].地理与地理信息科学,2009,25(02):23-26.
[7]李晓军,王长虹,朱合华. Kriging插值方法在地层模型生成中的应用[J].岩土力学,2009,30(01):157-162.
[8]王长虹,朱合华.多重分形与Kriging插值在地层模型生成中的应用[J].岩土力学,2011,32(06):1864-1868+1885.
[9]朱贵娜,杜斌.地基基础设计中的三维地层可视化技术及应用[J].土木建筑工程信息技术,2015,7(2):97-100.
[10]廖利钊,郭谱,杨俊.地铁隧道盾构施工地表变形影响因素分析[J].土木建筑工程信息技术,2016,8(2):84-89.
[11] Lajaunie,C.,Courrioux,G.,Manuel,L. Foliation Fields and3D Cartography in Geology:Principles of A Method Based on Potential Interpolation. Math Geol,1997,29(4):571-584.
[12] Calcagno,P.,Chiles,J. P.,Courrioux,G.,et al. Geological Modelling from Field Data and Geological Knowledge Part I. Modelling Method Coupling 3D Potential-Field Interpolation and Geological Rules. Phys Earth Planet In,Dec,2008,171(1-4):147-157.
[13] Chiles,J. P.,Aug,C.,Guillen,A.,et al. Modelling the Geometry of Geological Units and Its Uncertainty in 3D from Structural Data-The Potential-Field Method. Aimm Spectr Ser,2005,(14):329-336.
[14]李培楠.基于多源数据的复杂地质建模及其不确定性分析和应用[D].上海:同济大学,2013.