地质雷达探测正演模拟及其工程应用
[Abstract]:In recent years, the tunnel and underground engineering are developing more and more rapidly. The topography, geological conditions and exploration environment are becoming more and more complex, which brings difficulties to the detection and interpretation of GPR. In order to solve the above problems, theoretical research and physical experiments are carried out on the forward modeling of GPR detection. The main research work in this paper is as follows: (1) the forward modeling software of two-dimensional TM wave GPR detection based on finite-difference time-domain (FDTD) is developed by using MATLAB. Based on the three elements of FDTD (difference scheme, stability of solution, absorbing boundary condition), the differential operator in Maxwell's curl equation is directly transformed into difference form by using the second-order precision central difference approximation. The finite difference time domain (FDTD) equation is transformed into the forward modeling of GPR. At the same time, on the basis of numerical stability condition and ideal dispersion relation, reasonable time sampling interval and spatial discrete interval are calculated, and the forward model is meshed by two-dimensional Yee cell. And the corresponding forward model electrical parameters are set for each grid. However, due to the limitation of computer storage space, the size of FDTD's computing model is fixed and finite, so the computer can not simulate an infinite computing area in FDTD computing. In order to better simulate the propagation of electromagnetic waves emitted by GPR in infinite open domain, a perfectly matched layer (Perfectly Matched Layer, is added. (2) A forward modeling software for GPR detection based on image recognition technology is developed by using C #. The software integrates the functions of reading forward model images, assigning medium parameters and transforming and outputting modeling data. It can read forward model images drawn by any drawing software and assign medium parameters to different colors of model images. The data file is converted into forward modeling data file, which can be used for the calculation of forward modeling software of GPR detection, which simplifies the modeling process effectively. (3) the dynamic display module of the forward modeling software using the GPR probe forward simulation software. By dynamically outputting the field value distribution image at continuous time, the propagation process of electromagnetic wave transmitted by GPR in underground medium is simulated. It is convenient to understand and analyze the electromagnetic wave propagation process and law in GPR detection more vividly. (4) the forward modeling software of GPR detection is used for typical bad geological bodies (caverns, faults) and typical structures (reinforced bar) in tunnel and underground engineering. In steel arch frame, the typical interface (layered, stepped, channel) models are simulated respectively, and the corresponding forward simulation results of GPR detection are obtained. At the same time, the results are compared and analyzed. (5) aiming at the typical bad geological bodies and typical structures in tunnel and underground engineering, the corresponding physical experiments of GPR detection are designed. It is found that the test results of GPR exploration physics experiment are basically consistent with the numerical forward simulation results, and both of them verify each other. It provides a reliable basis for the interpretation of the data detected by the GPR. (6) the judgment criteria of typical target bodies in tunnel and underground engineering are summarized and applied in practical construction, and it is proved that the criterion is correct and reliable.
【学位授予单位】:山东大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TU91
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