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针对层析成像模型矩形网格剖分存在的一些问题,提出了复杂结构三角网最小走时射线追踪层析成像方法。以Delaunay三角剖分的优化准则,根据模型点、线、面的几何结构关系,进行三角网格剖分;采用三角网波行面扩展法计算声波初至走时,追踪出任意接收点至激发点处的射线路径,射线路径包含了从接收点至源点的坐标、所在三角单元等信息,形成矩阵方程。应用稳定性较好的联合迭代重构技术求解矩阵方程,得到模型的速度分布。数值模拟结果表明,三角网射线层析成像方法分辨率高,成像结果更接近实际结构形态,有效地解决了矩形网剖分对复杂区域网格参数化灵活性差,速度界面描述精度低等问题。
Aiming at some problems existing in the rectangular mesh segmentation of tomography model, a method of minimum traveltime ray tracing tomography of complex structure triangulation is proposed. According to the optimization principle of Delaunay triangulation, according to the geometric relations of model points, lines and planes, the triangular meshes are divided. The first arrival time of acoustic waves is calculated by the triangular network propagation method, and any receiving point to the exciting point Department of the ray path, the ray path contains the coordinates from the receiving point to the source point, where the triangular unit and other information to form a matrix equation. The stability of the joint iterative reconstruction technique is used to solve the matrix equation and obtain the velocity distribution of the model. The numerical simulation results show that the triangulation method has the advantages of high resolution and imaging results closer to the actual structure, which effectively solves the problems of poor mesh parameterization in complex regions and low accuracy of velocity interface description.