{"title":"电渗透过程中土壤裂缝的模拟","authors":"Qianli Zheng, An Deng, Mark Jaksa","doi":"10.1016/j.compgeo.2025.107283","DOIUrl":null,"url":null,"abstract":"<div><div>Electroosmosis is a dewatering technique for fine-grained soils that, by means of an electric current passing through a series of electrodes, moves a volume of pore water from the anodes toward the cathodes. The dewatering process can effectively reduce the soil water content but often results in the formation of surface cracks. The cracks collectively reduce the passage of the electric current, thereby diminishing the dewatering efficiency. To optimize dewatering, crack formation must be studied. A numerical model to predict soil cracks formed during the electroosmosis dewatering process is developed in this paper. This model considers the unsaturated conditions during dewatering and combines the constitutive surface of unsaturated soils with the Mohr–Coulomb failure envelope to determine cracking. This model also accounts for the nonlinear variations in soil properties, the degree of saturation, and cracking. This model is validated against laboratory test results and is applied to various example problems. The research outcomes result in the assessment of crack evolution and the identification of factors that affect crack development.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"184 ","pages":"Article 107283"},"PeriodicalIF":5.3000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling of soil cracks in electroosmosis\",\"authors\":\"Qianli Zheng, An Deng, Mark Jaksa\",\"doi\":\"10.1016/j.compgeo.2025.107283\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Electroosmosis is a dewatering technique for fine-grained soils that, by means of an electric current passing through a series of electrodes, moves a volume of pore water from the anodes toward the cathodes. The dewatering process can effectively reduce the soil water content but often results in the formation of surface cracks. The cracks collectively reduce the passage of the electric current, thereby diminishing the dewatering efficiency. To optimize dewatering, crack formation must be studied. A numerical model to predict soil cracks formed during the electroosmosis dewatering process is developed in this paper. This model considers the unsaturated conditions during dewatering and combines the constitutive surface of unsaturated soils with the Mohr–Coulomb failure envelope to determine cracking. This model also accounts for the nonlinear variations in soil properties, the degree of saturation, and cracking. This model is validated against laboratory test results and is applied to various example problems. The research outcomes result in the assessment of crack evolution and the identification of factors that affect crack development.</div></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":\"184 \",\"pages\":\"Article 107283\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Geotechnics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0266352X25002320\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X25002320","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Electroosmosis is a dewatering technique for fine-grained soils that, by means of an electric current passing through a series of electrodes, moves a volume of pore water from the anodes toward the cathodes. The dewatering process can effectively reduce the soil water content but often results in the formation of surface cracks. The cracks collectively reduce the passage of the electric current, thereby diminishing the dewatering efficiency. To optimize dewatering, crack formation must be studied. A numerical model to predict soil cracks formed during the electroosmosis dewatering process is developed in this paper. This model considers the unsaturated conditions during dewatering and combines the constitutive surface of unsaturated soils with the Mohr–Coulomb failure envelope to determine cracking. This model also accounts for the nonlinear variations in soil properties, the degree of saturation, and cracking. This model is validated against laboratory test results and is applied to various example problems. The research outcomes result in the assessment of crack evolution and the identification of factors that affect crack development.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.