Electrical Capacitance Tomography Measurement of the Migration of Ice Frontal Surface in Freezing Soil

Abstract The tracking of the migration of ice frontal surface is crucial for the understanding of the underlying physical mechanisms in freezing soil. Owing to the distinct advantages, including non-invasive sensing, high safety, low cost and high data acquisition speed, the electrical capacitance tomography (ECT) is considered to be a promising visualization measurement method. In this paper, the ECT method is used to visualize the migration of ice frontal surface in freezing soil. With the main motivation of the improvement of imaging quality, a loss function with multiple regularizers that incorporate the prior formation related to the imaging objects is proposed to cast the ECT image reconstruction task into an optimization problem. An iteration scheme that integrates the superiority of the split Bregman iteration (SBI) method is developed for searching for the optimal solution of the proposed loss function. An unclosed electrodes sensor is designed for satisfying the requirements of practical measurements. An experimental system of one dimensional freezing in frozen soil is constructed, and the ice frontal surface migration in the freezing process of the wet soil sample containing five percent of moisture is measured. The visualization measurement results validate the feasibility and effectiveness of the ECT visualization method

[1]  S. Arcone,et al.  Electrical resistivity of frozen and petroleum-contaminated fine-grained soil , 2001 .

[2]  Manuchehr Soleimani,et al.  Shape based reconstruction of experimental data in 3D electrical capacitance tomography , 2010 .

[3]  Marc Teboulle,et al.  A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..

[4]  P. Callaghan,et al.  Brine diffusion in first-year sea ice measured by Earth's field PGSE-NMR , 2005 .

[5]  L. Landweber An iteration formula for Fredholm integral equations of the first kind , 1951 .

[6]  Zhang Cao,et al.  An image reconstruction algorithm based on total variation with adaptive mesh refinement for ECT , 2007 .

[7]  Huaxiang Wang,et al.  Electrical Capacitance Tomography for Sensors of Square Cross Sections Using Calderon's Method , 2011, IEEE Transactions on Instrumentation and Measurement.

[8]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[9]  Liang-Shih Fan,et al.  Neural network based multi-criteria optimization image reconstruction technique for imaging two- and three-phase flow systems using electrical capacitance tomography , 2001 .

[10]  Yongzhong Song,et al.  Image restoration with a high-order total variation minimization method☆ , 2013 .

[11]  Jing Lei,et al.  Dynamic inversion in electrical capacitance tomography using the ensemble Kalman filter , 2012 .

[12]  Brian S. Hoyle,et al.  Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors , 1992 .

[13]  Weifu Fang,et al.  A nonlinear image reconstruction algorithm for electrical capacitance tomography , 2004 .

[14]  A. N. Tikhonov,et al.  Solutions of ill-posed problems , 1977 .

[15]  Robert Banasiak,et al.  Four-dimensional electrical capacitance tomography imaging using experimental data , 2009 .

[16]  Roland Martin,et al.  Reconstruction of permittivity images from capacitance tomography data by using very fast simulated annealing , 2004 .

[17]  Daniel Watzenig,et al.  A particle filter approach for tomographic imaging based on different state-space representations , 2006 .

[18]  Masahiro Takei GVSPM image reconstruction for capacitance CT images of particles in a vertical pipe and comparison with the conventional method , 2006 .

[19]  Wuqiang Yang,et al.  Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter , 2007 .

[20]  Manuchehr Soleimani,et al.  Nonlinear image reconstruction for electrical capacitance tomography using experimental data , 2005 .

[21]  Lijun Xu,et al.  Electrical capacitance tomography with a non-circular sensor using the dbar method , 2009 .

[22]  Emmanuel J. Candès,et al.  A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..

[23]  Tom Goldstein,et al.  The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..

[24]  Wuqiang Yang,et al.  Prior-online iteration for image reconstruction with electrical capacitance tomography , 2004 .

[25]  J. Lei,et al.  An image reconstruction algorithm based on the semiparametric model for electrical capacitance tomography , 2011, Comput. Math. Appl..

[26]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .