Quantitatively characterizing sandy soil structure altered by MICP using multi-level thresholding segmentation algorithm  

作　　者：Jianjun Zi Tao Liu Wei Zhang Xiaohua Pan Hu Ji Honghu Zhu 

机构地区：[1]School of Earth Sciences and Engineering,Nanjing University,Nanjing,210023,China [2]The Frontiers Science Center for Critical Earth Material Cycling,Nanjing University,Nanjing,210023,China [3]Engineering Research Center for Earth Sensing and Disaster Control of Jiangsu Province,Nanjing,210023,China

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2024年第10期4285-4299,共15页岩石力学与岩土工程学报（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.42077232 and 42077235);the Key Research and Development Plan of Jiangsu Province(Grant No.BE2022156).

摘　　要：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 thresholding 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 mm.After validation,tri-level thresholding segmentation using GAE-KE successfully 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 quantitative 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.

关 键 词：Soil structure MICRO-CT Multi-level thresholding MICP Genetic algorithm(GA) 

分 类 号：TU435[建筑科学—岩土工程]