首页|Quantitatively characterizing sandy soil structure altered by MICP using multi-level thresholding segmentation algorithm
Quantitatively characterizing sandy soil structure altered by MICP using multi-level thresholding segmentation algorithm
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万方数据
维普
The influences of biological,chemical,and flow processes on soil structure through microbially induced carbonate precipitation(MICP)are not yet fully understood.In this study,we use a multi-level thresh-olding segmentation algorithm,genetic algorithm(GA)enhanced Kapur entropy(KE)(GAE-KE),to accomplish quantitative characterization of sandy soil structure altered by MICP cementation.A sandy soil sample was treated using MICP method and scanned by the synchrotron radiation(SR)micro-CT with a resolution of 6.5 μm.After validation,tri-level thresholding segmentation using GAE-KE suc-cessfully separated the precipitated calcium carbonate crystals from sand particles and pores.The spatial distributions of porosity,pore structure parameters,and flow characteristics were calculated for quan-titative characterization.The results offer pore-scale insights into the MICP treatment effect,and the quantitative understanding confirms the feasibility of the GAE-KE multi-level thresholding segmentation algorithm.
万方数据
维普
