<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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</p></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

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

School of Civil Engineering, Henan Polytechnic University, 45400, Jiaozuo, China

Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), Ministry of Education of China, 300072, Tianjin,

School of Civil Engineering, Henan Polytechnic University, 45400, Jiaozuo,

School of Energy, Power and Mechanical Engineering, North China Electric Power University, 102206, Beijing,

Measurement Science Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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...

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

Published Online: Dec 13, 2016

Page range: 280 - 286

Received: Apr 18, 2016

Accepted: Nov 22, 2016

DOI: https://doi.org/10.1515/msr-2016-0035

Keywords
Freezing soil, ice frontal surface migration, electrical capacitance tomography, visualization measurement, image reconstruction method

© by J. Liu

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Dec 13, 2016

Page range: 280 - 286

Received: Apr 18, 2016

Accepted: Nov 22, 2016

DOI: https://doi.org/10.1515/msr-2016-0035

KeywordsFreezing soil, ice frontal surface migration, electrical capacitance tomography, visualization measurement, image reconstruction method

© by J. Liu

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Freezing soil, ice frontal surface migration, electrical capacitance tomography, visualization measurement, image reconstruction method