Yi Zhao , Qixin Wu , Zheng Hu , Yafei Jia , Yewei Zheng
{"title":"Macro- and micro-scopic suffusion behavior of gap-graded soils under cyclic hydraulic gradient reversal","authors":"Yi Zhao , Qixin Wu , Zheng Hu , Yafei Jia , Yewei Zheng","doi":"10.1016/j.compgeo.2024.106950","DOIUrl":null,"url":null,"abstract":"<div><div>Wave surging, fracking operations, and tides can cause seepage flow with hydraulic gradient reversals, resulting in complex hydraulic conditions. These complex hydraulic conditions can lead to more intricate suffusion processes, affecting the movement and loss of fine particles, and thereby weakening the internal stability of hydraulic structures. In this study, the coupled computational fluid dynamics and discrete element method (CFD-DEM) was employed to investigate the suffusion behavior of gap-graded soils under cyclic hydraulic gradient reversal. The suffusion behavior of gap-graded soil under constant hydraulic gradient and cyclic hydraulic gradient reversal conditions were first compared. Then, the influences of cyclic frequencies and reversal ratios on the suffusion behavior of gap-graded soils were analyzed. The simulation results show that the fine particle loss of gap-graded soils under cyclic hydraulic gradient reversal is greater than that under constant hydraulic gradient conditions. A higher reversal ratio or lower frequency can lead to a more significant fines loss. During suffusion, the evolution of micro-scale quantities such as fines migration, coordination number, and particle force characteristics is tracked, offering a more insightful explanation for the observed macroscopic behavior of gap-graded soils under cyclic hydraulic gradient reversal.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"178 ","pages":"Article 106950"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-29","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/S0266352X24008899","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}
引用次数: 0
Abstract
Wave surging, fracking operations, and tides can cause seepage flow with hydraulic gradient reversals, resulting in complex hydraulic conditions. These complex hydraulic conditions can lead to more intricate suffusion processes, affecting the movement and loss of fine particles, and thereby weakening the internal stability of hydraulic structures. In this study, the coupled computational fluid dynamics and discrete element method (CFD-DEM) was employed to investigate the suffusion behavior of gap-graded soils under cyclic hydraulic gradient reversal. The suffusion behavior of gap-graded soil under constant hydraulic gradient and cyclic hydraulic gradient reversal conditions were first compared. Then, the influences of cyclic frequencies and reversal ratios on the suffusion behavior of gap-graded soils were analyzed. The simulation results show that the fine particle loss of gap-graded soils under cyclic hydraulic gradient reversal is greater than that under constant hydraulic gradient conditions. A higher reversal ratio or lower frequency can lead to a more significant fines loss. During suffusion, the evolution of micro-scale quantities such as fines migration, coordination number, and particle force characteristics is tracked, offering a more insightful explanation for the observed macroscopic behavior of gap-graded soils under cyclic hydraulic gradient reversal.
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.