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基于UPML边界条件的交替方向隐式有限差分法GPR全波场数值模拟
  • 期刊名称:地球物理学报
  • 时间:2010.10.10
  • 页码:2484-2496
  • 分类:P631[天文地球—地质矿产勘探;天文地球—地质学]
  • 作者机构:[1]中南大学信息物理工程学院,长沙410083
  • 相关基金:国家自然科学基金项目(40804027,41074085),教育部博士点新教师专项科研基金项目(200805331082),湖南省自然科学基金重点项目(09JJ3084)和湖南省科技计划项目(2008TP4013-2)资助.
  • 相关项目:复杂GPR模型无网格法正演及多参数混合智能优化反演
中文摘要:

交替方向隐式差分(ADI-FDTD)法突破了Courand—Friedrich—Levy(CFL)条件的约束,具有无条件稳定的特点;而单轴各向异性完全匹配层(UPMI.)边界条件具有宽频带吸收特性,不需要对电场和磁场进行分裂,迭代公式简单,便于编程的特点.综合两者优势,本文提出了基于UPML边界条件的ADI—FDTD探地雷达数值模拟算法,通过对3个二维Maxwell方程进行离散化,推导了GPR波的ADI—FDTD及其UPML边界条件的两个子时间步的迭代差分公式,并分别给出了详细计算步骤.在此基础上,开发了相应的模拟程序,应用该程序对两个GPR模型进行了正演模拟,得到了两个正演模型的wiggle图、扫描图与全波场快照.通过分析这些雷达剖面图与波场快照,可以了解雷达波形在空间中的传播过程及变化规律,有助于雷达资料更可靠、更准确的解释.模拟结果表明,基于UPML边界条件的ADIFDTD算法可取较大的时间步长,消除了截断边界处的强反射,能对简单与复杂GPR模型进行快速、高效模拟.

英文摘要:

ADI-FDTD could break through the restriction of the CFL stability condition and is unconditionally stable. However, UPML boundary condition has the characteristic of absorbing wide frequency and without the necessity for separating electric field from magnetic field. Its simple iterative formula is convenient for compiling program. Synthesizing the merits of both methods, this paper put forward a GPR numerical simulation algorithm of ADI-FDTD based upon UPML boundary condition. Through the discretization of the three two-dimensional Maxwell equations, this paper put forward two sub-time step iterative finite difference formulae of ADI- FDTD and UPML boundary condition of GPR wave, and gave the computing steps in detail separately. Based on this, we could compile the corresponding program, use the program to simulate the two GPR models, get the wiggle maps, scan maps, and snapshots of the two models. By analyzing these section maps and snapshots of the spreading process of GPR wave, we can learn the regularities of radar wave spreading and changing in the space, so as to guide interpretation of radar data reliably and accurately. The simulation result indicated that the ADI- FDTD algorithm based on the UPML boundary condition eliminated the strong reflection of truncating boundaries and it could choose larger time steps. So it could simulate GPR model efficiently, reliably and accurately.

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