Digital Image Analysis on Structure of Constructional Waste Soil Cemented by Microorganisms

ZHANG Minxia; CHEN Chen; NIU Shuangjian; FENG Congrui; XU Ping; CAI Baoshuai

doi:10.3724/j.gyjzG23080412

Volume 54 Issue 9

Sep. 2024

Turn off MathJax

Article Contents

Article Navigation > INDUSTRIAL CONSTRUCTION > 2024 > 54(9): 43-50

ZHANG Minxia, CHEN Chen, NIU Shuangjian, FENG Congrui, XU Ping, CAI Baoshuai. Digital Image Analysis on Structure of Constructional Waste Soil Cemented by Microorganisms[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(9): 43-50. doi: 10.3724/j.gyjzG23080412

Citation:

ZHANG Minxia, CHEN Chen, NIU Shuangjian, FENG Congrui, XU Ping, CAI Baoshuai. Digital Image Analysis on Structure of Constructional Waste Soil Cemented by Microorganisms[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(9): 43-50. doi: 10.3724/j.gyjzG23080412

Citation:

ZHANG Minxia, CHEN Chen, NIU Shuangjian, FENG Congrui, XU Ping, CAI Baoshuai. Digital Image Analysis on Structure of Constructional Waste Soil Cemented by Microorganisms[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(9): 43-50. doi: 10.3724/j.gyjzG23080412

PDF( 7249 KB)

Digital Image Analysis on Structure of Constructional Waste Soil Cemented by Microorganisms

doi: 10.3724/j.gyjzG23080412

1. School of Civil Engineering, Henan Polytechnic University, Jiaozuo 454003, China;
2. Shenzhen Municipal Engineering Corporation, Shenzhen 518131, China

Received Date: 2023-08-04
Available Online: 2024-10-18

Abstract

Abstract

It is of direct significance to carry out quantitative research on the morphology of microbial cemented constructional waste soil for analyzing the effect of soil improvement. The morphological indexes such as rectangularity, shape indexes, angularity and overall contour coefficients could directly and quantitatively characterize the soil structure, which are important parameters to reflect the stability and cured effect of soil. The apparent scan of the microbial cemented soil by CT was conducted, and the geometric shape parameters (the length, perimeter, area, external rectangular area, and equivalent elliptical perimeter) of cemented soil particles were obtained by the digital image processing technique. The geometric shape coefficient,namely morphological index, was calculated statistically, so as to quantitatively characterize the microbial cemented soil structure and analyze the correlation between geometric shape coefficient and gradation. The results showed: with the increase in the scale of the structure, the shape index and the angularity of the microbial cemented constructional waste soil increased as a whole, the rectangularity and the overall contour coefficient decreased, the structure shape was more irregular. The geometric shape coefficient had a good correlation with the particle gradation of cemented construction waste soil. It was because that the calcium carbonate induced by microbial precipitates covered and accumulated on the surface of the soil particles, increasing the particle size of the waste soil and making the particle surface rougher, and then changing the primary characteristic parameters, affecting the morphological indexes.
- microbial cementation,
- constructional waste soil,
- microscopic structure,
- geometric shape parameter,
- digital image analysis

FullText(HTML)

References(27)

References

[1]	DEJONG J T, FRITZGES M B, NUESSELEIN K. Microbially induced cementation to control sand response to undrained shear [J]. Journal of Geotechnical and Geoenvironmental Engineering, 2006, 132(11): 1381-1392.
[2]	裴迪, 刘志明, 胡碧茹, 等. 巴氏芽孢杆菌矿化作用机理及应用研究进展 [J]. 生物化学与生物物理进展, 2020, 47(6): 467-482.
[3]	刘汉龙, 肖鹏, 肖杨, 等. 微生物岩土技术及其应用研究新进展 [J]. 土木与环境工程学报(中英文), 2019, 41(1): 1-14.
[4]	LI G, JIN C Y, FENG Q J, et al. Experimental study on cemented tailings backfill based on microbially induced calcite precipitation [J]. Journal of Materials in Civil Engineering, 2023, 35(3): 1-13.
[5]	OMOREGIE A I, MUDA K, OJURI O O, et al. The global research trend on microbially induced carbonate precipitation during 2001-2021: a bibliometric review [J]. Environmental Science and Pollution Research International, 2022, 29(60): 89900-89922.
[6]	方祥位, 申春妮, 楚剑, 等. 微生物沉积碳酸钙胶结珊瑚砂的试验研究 [J]. 岩土力学, 2015, 36(10): 2773-2779.
[7]	高玉峰, 杨恩杰, 何稼. 基于微生物诱导碳酸钙沉积的防风固沙试验研究 [J]. 河南科学, 2019, 37(1): 144-150.
[8]	刘亚龙, 王萍, 汪景宽. 土团聚体的形成和稳定机制:研究进展与展望 [J]. 土学报, 2023, 60(3): 627-643.
[9]	高雅, 丁启朔, 李毅念, 等. 土结构的数字图像分析方法与指标 [J]. 土通报, 2015, 46(3): 513-518.
[10]	PETH S. Applications of microtomography in soils and sediments [J]. Developments in Soil Science, 2010, 34: 73-101.
[11]	PETH S, NELLESEN J, FISCHER G, et al. Non-invasive 3D analysis of local soil deformation under mechanical and hydraulic stresses by μCT and digital image correlation [J]. Soil and Tillage Research, 2010, 111(1): 3-18.
[12]	DADDA A, GEINDREAU C, EMERIAULT F, et al. Characterization of microstructural and physical properties changes in biocemented sand using 3D X-ray microtomography [J]. Acta Geotechnica, 2017, 12(5): 955-970.
[13]	BOUMA J. Using morphometric expressions for macropores to improve soil physical analyses of field soils [J]. Geoderma, 1990, 46(1/2/3): 3-11.
[14]	丁启朔, 董盛盛, 李毅念, 等. 耕层构造的土结构质量-径级数字图像分析 [J]. 农业工程学报, 2016, 32(2): 134-140.
[15]	曹源文, 杨国林, 张莹莹, 等. 基于最小外接矩形的集料颗粒形状特征快速评价方法研究 [J]. 重庆交通大学学报(自然科学版), 2019, 38(6): 61-65.
[16]	周应征, 管大为, 成亮. 微生物诱导碳酸盐在土体加固中的应用进展 [J]. 高校地质学报, 2021, 27(6): 697-706.
[17]	王恒星, 缪林昌, 孙潇昊, 等. 微生物诱导胶结技术研究进展 [J]. 湖南大学学报(自然科学版), 2021, 48(1): 70-81.
[18]	徐文杰, 岳中琦, 胡瑞林. 基于数字图像的土、岩和混凝土内部结构定量分析和力学数值计算的研究进展 [J]. 工程地质学报, 2007(3): 289-313.
[19]	马成昊, 朱长歧, 刘海峰, 等. 土的颗粒形貌研究现状及展望 [J]. 岩土力学, 2021, 42(8): 2041-2058.
[20]	董盛盛, 霍连飞, 丁启朔, 等. 机械耕作土结构体的数字图像分析 [J]. 土通报, 2016, 47(5): 1102-1106.
[21]	LEE T, BARONE T, RUBINSTEIN E, et al. Asbestos fiber length and width comparison between manual and semi-automated measurements [J]. Journal of Occupational and Environmental Hygiene, 2022, 19(6):370-380.
[22]	徐炜桢, 许东, 林亲录, 等. 基于手机拍照和ImageJ软件的大米外观形状参数的测定 [J]. 中国粮油学报, 2019, 34(10): 109-113.
[23]	LORENZO N, VALERIA P, MASSIMILIANO L, et al. Quantitative evaluation of ImageJ thresholding algorithms for microbial cell counting [J]. OSA Continuum, 2020, 3(6): 1417-1427.
[24]	钟永达, 李彦强, 刘立盘, 等. 基于扫描仪和ImageJ软件的香樟种子测量与种源分析 [J]. 西南林业大学学报(自然科学), 2017, 37(6): 48-53.
[25]	杨文源, 俞玉, 张世媛, 等. 一种基于Image J软件的植物叶片表型参数测量方法 [J]. 北方农业学报, 2022, 50(6): 128-134.
[26]	HU Z Z, ZHANG R, ZHU K, et al. Probing the pore structure of the berea sandstone by using X-ray Micro-CT in combination with ImageJ software [J]. Minerals, 2023, 13(3): 1-12.
[27]	张敏霞, 刘飞飞, 王瑞琦, 等. 微生物固结裸土及其抗风蚀扬尘的研究进展[J]. 环境污染与防治, 2021, 43(2): 232-236.