Xiang He, Yao Chen, Haijun Hu, Shunxiang Kang, Shaohong Zhang, Meixiao Yang
{"title":"An Improved Method for Determining Constriction Size Distribution Using Discrete Element Method and Its Inspiration for Corresponding Laboratory Tests","authors":"Xiang He, Yao Chen, Haijun Hu, Shunxiang Kang, Shaohong Zhang, Meixiao Yang","doi":"10.1002/nag.70020","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Constriction is defined as the narrowest passages between pores, and constriction size distribution (CSD) is a fundamental property that quantifies the soil retention capability of filters. Although three types of methods have been developed to determine the CSD, that is, analytical, numerical, and experimental methods, these approaches face limitations such as potential inaccuracies or limited applicability. In this paper, the inverse method combined with discrete element method (DEM) proposed by Sjah and Vincens (2013) was improved from several facets, that is, the characterization of the mean distance between adjacent constrictions, the generation of probe particles instead of base soils, the determination of actual path length for probe particles, and the deletion of clogged particles. Then the improved method was compared with the previous one and other analytical and numerical methods. Besides, different confidence levels, that is, maximum probability of failing to traverse through constrictions continuously, were selected in the improved inverse method to investigate the effect of this value on CSD. Furthermore, the effect of probe particles path tortuosity, the clogging of probe particles within the filter, and filter particle shape on CSD were investigated. These findings provide insights for improving the accuracy of CSD determination in laboratory tests.</p>\n </div>","PeriodicalId":13786,"journal":{"name":"International Journal for Numerical and Analytical Methods in Geomechanics","volume":"49 15","pages":"3422-3434"},"PeriodicalIF":3.6000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical and Analytical Methods in Geomechanics","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nag.70020","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Constriction is defined as the narrowest passages between pores, and constriction size distribution (CSD) is a fundamental property that quantifies the soil retention capability of filters. Although three types of methods have been developed to determine the CSD, that is, analytical, numerical, and experimental methods, these approaches face limitations such as potential inaccuracies or limited applicability. In this paper, the inverse method combined with discrete element method (DEM) proposed by Sjah and Vincens (2013) was improved from several facets, that is, the characterization of the mean distance between adjacent constrictions, the generation of probe particles instead of base soils, the determination of actual path length for probe particles, and the deletion of clogged particles. Then the improved method was compared with the previous one and other analytical and numerical methods. Besides, different confidence levels, that is, maximum probability of failing to traverse through constrictions continuously, were selected in the improved inverse method to investigate the effect of this value on CSD. Furthermore, the effect of probe particles path tortuosity, the clogging of probe particles within the filter, and filter particle shape on CSD were investigated. These findings provide insights for improving the accuracy of CSD determination in laboratory tests.
期刊介绍:
The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.