| 岩体裂隙三维可视化新方法及其应用 |
| |
| 引用本文： | 姚荣文,张云辉,赵晓彦,王鹰,徐正宣,常兴旺,多吉.岩体裂隙三维可视化新方法及其应用[J].地球科学,2022,47(9):3463-3476. |
| |
| 作者姓名： | 姚荣文 张云辉 赵晓彦 王鹰 徐正宣 常兴旺 多吉 |
| |
| 作者单位： | 1.西南交通大学地球科学与环境工程学院, 四川成都 611756 |
| |
| 基金项目： | 四川省科学技术厅2019年科技计划重点项目2019YFG0460国家自然科学基金项目42072313国家自然科学基金项目42102334重庆市自然科学基金项目cstc2021jcyj?msxmX1137 |
| |
| 摘 要： | 快速准确地识别岩体裂隙的三维分布特征是西南山区铁路防灾减灾的关键.本研究提出了一套岩体裂隙可视化新方法，基于测窗调查的裂隙数据，依托球坐标及极射赤平投影进行数字化处理及降维，利用K-Means++聚类算法、Fisher分布模型和蒙特卡洛模拟，完成裂隙产状数据的自动分组和模拟，最后运用Python及圆盘模型实现岩体裂隙三维可视化.本研究采用坐标变换和三角网格曲面的方式，更有利于与其他三维建模软件嵌套分析.水电站工程的先行应用研究表明产状数据服从Fisher分布，本文的模型相对于传统玫瑰花图和施密特图有着一定的优势.因此，本文建立的岩体裂隙模型具有直观快速反映区域裂隙网络三维分布特征的优点，研究成果可以直接服务于西南山区铁路施工阶段隧道掌子面及洞壁的节理裂隙三维识别以及防灾减灾研究.
|
| 关 键 词： | 离散裂隙网络 K均值聚类法 Fisher模型 蒙特卡洛模拟 圆盘模型 工程地质 |
| 收稿时间： | 2021-12-17 |
A New 3D Visualization Method for Rock Mass Fractures and Its Application |
| |
| Abstract: | Identifying the three-dimensional distribution characteristics of rock mass fractures quickly and accurately is the key to the prevention and reduction of disasters on the railway in the mountainous area of southwest China. In this study, a new method for rock mass fracture visualization is proposed. The digital processing and dimension reduction of data are completed by the spherical coordinates and polar stereographic projection. K-Means++ clustering algorithm, Fisher distribution model and Monte Carlo simulation are used for automatic fracture occurrence data classification and simulation. Finally, the 3D visualization of fracture data is realized by Python and disc model. This research adopts coordinate transformation and triangular mesh surface, which is more conducive to nested analysis with other 3D modeling software. The advance application research of Hydropower Station project shows that the occurrence data correspond to Fisher distribution, and the model in this paper has certain advantages over the traditional rose chart and Schmidt chart. Therefore, the rock mass fracture model established in this paper describes the 3D distribution characteristics of regional fracture network intuitively and quickly. The research results can be directly applied to the fracture 3D visualization of tunnel face image and future disaster prevention and reduction of the railway in the mountain area of southwest China. |
| |
| Keywords: | |
|
| 点击此处可从《地球科学》浏览原始摘要信息 |
|
点击此处可从《地球科学》下载全文 |
