Detecting Depth of Desiccation-Induced Clay Crack Based on Anisotropy Index (AI) of Apparent Electrical Resistivity

Main Article Content

Haoze Wu, Chungfai Chiu

Abstract

As the global climate warms, the soil is much easier to crack. In order to study the method of detecting the soil crack depth, a desiccation soil crack experiment was performed indoors. First, the soil-water characteristic curve (SWCC) of kaolin was measured by the filter paper method. During the desiccation process,the variation process of suction and volumetric water content was studied. For soil surface cracks, the propagation process of cracks was measured using a camera. Anisotropy index (AI) of apparentelectrical resistivity was measured by a multi-layer electrode array. Based on the electrical resistivity method (ERM) and a numerical simulation of a multi-layer electrode array for a single crack, a new method to detect the crack depth was proposed. This method was used to predict the depth of cracks during the desiccation experiment, and the results were compared to crack depths obtained using the crack-tip opening angle (CTOA) method. The results show that this method is simpler and can detect the soil crack depth well. This research provides a method to detect the crack depth, which can be used to monitor the crack depth in some soil structures, such as landfill cover and dams.

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How to Cite
Haoze Wu, Chungfai Chiu. (2021). Detecting Depth of Desiccation-Induced Clay Crack Based on Anisotropy Index (AI) of Apparent Electrical Resistivity. CONVERTER, 2021(7), 590-603. Retrieved from https://converter-magazine.info/index.php/converter/article/view/536
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