Evaluation and Prediction for the Cementation Effect of MICP Based on Electrical Resistivity
Publication: Journal of Materials in Civil Engineering
Volume 33, Issue 10
Abstract
Microbially induced calcium carbonate precipitation (MICP) is widely studied as a promising technique for ground improvement. However, there is no simple and feasible method to evaluate the treatment effects, which limits the extensive application of MICP. This study used electrical resistivity to evaluate and predict the treatment effects. The relationship between electrical resistivity and porosity, moisture content, or content of biotreated sand columns was first studied, and an empirical model of electrical resistivity and soil properties was then proposed to predict the porosity and unconfined compressive strength (UCS). The results showed that when the porosity increased, the electrical resistivity increased in the form of exponential power, but the fitting degree of the curve was lower. Moreover, the electrical resistivity decreased in the form of negative exponential power with the increase in moisture content or linearly decreased with the increase in content. The empirical model was capable of predicting the relationship between porosity or UCS and electrical resistivity after considering the uniform distribution of . The treatment effects (porosity and UCS) of biotreated soils can be evaluated via electrical resistivity, which provides guidance for the application of MICP in the geotechnical engineering and civil engineering fields.
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Data Availability Statement
All data, models, and code generated or used during the study appear in the published article.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 51578147), the Fundamental Research Funds for the Central Universities (Grant No. 2242020R20025), and Ningxia Science and Technology Department (Grant No. 2020BFG02014). The authors thank the reviewers for valuable comments. Xiaohao SUN and Linchang MIAO conceived and designed research. Xiaohao SUN and Jinxin XIA built the model. Xiaohao SUN, and Hengxing WANG conducted experiments. Xiaohao SUN analyzed data and wrote the manuscript. All authors read and approved the manuscript.
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Received: Jun 14, 2020
Accepted: Feb 18, 2021
Published online: Jul 21, 2021
Published in print: Oct 1, 2021
Discussion open until: Dec 21, 2021
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