Title :
Acoustic detection of buried objects in 3-D fluid saturated porous media: numerical modeling
Author :
Zeng, Yan Qing ; Liu, Qing Huo
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fDate :
6/1/2001 12:00:00 AM
Abstract :
Acoustic waves can be a viable tool for the detection and identification of land mines, unexplored ordnance (UXO), and other buried objects. Design of acoustic instruments and interpretation and processing of acoustic measurements call for accurate numerical models to simulate acoustic wave propagation in a heterogeneous soil with buried objects. Compared with the traditional seismic exploration, high attenuation is unfortunately ubiquitous for shallow surface acoustic measurements because of the loose soil and the fluid in its pore space. To adequately model such acoustic attenuation, we propose a comprehensive multidimensional finite-difference time-domain (FDTD) model to simulate the acoustic wave interactions with land mines and soils based on the Biot theory for poroelastic media. For the truncation of the computational domain, we use the perfectly matched layer (PML). The method is validated by comparison with analytical solutions. Unlike the pure elastic wave model, this efficient PML-FDTD model for poroelastic media incorporates the interactions of waves and the fluid-saturated pore space. Several typical land mine detection measurements are simulated to illustrate the application
Keywords :
acoustic applications; acoustic variables measurement; buried object detection; finite difference time-domain analysis; porosity; soil; weapons; 3-D fluid saturated porous media; Biot theory; PML-FDTD model; UXO; acoustic detection; acoustic instruments; attenuation; buried objects; fluid-saturated pore space; heterogeneous soil; land mine detection; loose soil; mines; multidimensional finite-difference time-domain model; perfectly matched layer; pore space; poroelastic media; shallow surface acoustic measurements; unexplored ordnance; Acoustic measurements; Acoustic signal detection; Acoustic waves; Attenuation; Buried object detection; Computational modeling; Finite difference methods; Landmine detection; Soil; Time domain analysis;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on