Xiusong Shi , Jin Xu , Ning Guo , Xia Bian , Yiwen Zeng
{"title":"A novel approach for describing gradation curves of rockfill materials based on the mixture concept","authors":"Xiusong Shi , Jin Xu , Ning Guo , Xia Bian , Yiwen Zeng","doi":"10.1016/j.compgeo.2024.106911","DOIUrl":null,"url":null,"abstract":"<div><div>Rockfill materials produced from weathering and blasting usually possess a spatial variability of particle size distribution (PSD). Thus, a large number of laboratory tests are required to determine the engineering properties of rockfill materials with various PSDs. To reduce the number of redundant tests, a novel approach based on the mixture concept is proposed to describe the grading curves within the PSD envelopes of rockfill materials. The constituents of rockfills with varying PSDs are divided into two parts, termed as the fine matrix and coarse aggregates according to a threshold distinguishing fine and coarse particles. Then, the original PSDs of rockfill materials are reproduced by assigning different coarse fractions. The applicability of the proposed method is evaluated based on Discrete Element Method (DEM). The mechanical behavior of the sample with fitted PSDs are found to be approximately consistent with the corresponding values of the original PSDs at the same relative density. This method can be adopted into classical elastoplastic models to predict the mechanical behavior of rockfill materials through only a few laboratory tests. The findings in this study provide an approach for evaluating the mechanical behavior of rockfill materials with numerous PSDs based on the mixture concept.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"177 ","pages":"Article 106911"},"PeriodicalIF":5.3000,"publicationDate":"2024-11-19","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/S0266352X24008504","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
Rockfill materials produced from weathering and blasting usually possess a spatial variability of particle size distribution (PSD). Thus, a large number of laboratory tests are required to determine the engineering properties of rockfill materials with various PSDs. To reduce the number of redundant tests, a novel approach based on the mixture concept is proposed to describe the grading curves within the PSD envelopes of rockfill materials. The constituents of rockfills with varying PSDs are divided into two parts, termed as the fine matrix and coarse aggregates according to a threshold distinguishing fine and coarse particles. Then, the original PSDs of rockfill materials are reproduced by assigning different coarse fractions. The applicability of the proposed method is evaluated based on Discrete Element Method (DEM). The mechanical behavior of the sample with fitted PSDs are found to be approximately consistent with the corresponding values of the original PSDs at the same relative density. This method can be adopted into classical elastoplastic models to predict the mechanical behavior of rockfill materials through only a few laboratory tests. The findings in this study provide an approach for evaluating the mechanical behavior of rockfill materials with numerous PSDs based on the mixture concept.
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.