{"title":"Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt","authors":"Carmine P. Polito","doi":"10.3390/geotechnics3040056","DOIUrl":null,"url":null,"abstract":"One common method of estimating emax and emin for mixtures of sand and silt requires that the values of several empirical constants be determined. These empirical constants are the filling coefficients, a, and embedment coefficients, b, which can be determined either via lab testing or correlations. The study reported here developed simple correlations for estimating the filling and embedment coefficients using readily obtained laboratory data. These models were found to be excellent in producing filling and embedment coefficients that accurately predicted values of the index void ratios for sand and silt mixtures, with most R2 values being 0.94 or greater.","PeriodicalId":11823,"journal":{"name":"Environmental geotechnics","volume":"164 1","pages":"0"},"PeriodicalIF":2.2000,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental geotechnics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/geotechnics3040056","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0
Abstract
One common method of estimating emax and emin for mixtures of sand and silt requires that the values of several empirical constants be determined. These empirical constants are the filling coefficients, a, and embedment coefficients, b, which can be determined either via lab testing or correlations. The study reported here developed simple correlations for estimating the filling and embedment coefficients using readily obtained laboratory data. These models were found to be excellent in producing filling and embedment coefficients that accurately predicted values of the index void ratios for sand and silt mixtures, with most R2 values being 0.94 or greater.
期刊介绍:
In 21st century living, engineers and researchers need to deal with growing problems related to climate change, oil and water storage, handling, storage and disposal of toxic and hazardous wastes, remediation of contaminated sites, sustainable development and energy derived from the ground.
Environmental Geotechnics aims to disseminate knowledge and provides a fresh perspective regarding the basic concepts, theory, techniques and field applicability of innovative testing and analysis methodologies and engineering practices in geoenvironmental engineering.
The journal''s Editor in Chief is a Member of the Committee on Publication Ethics.
All relevant papers are carefully considered, vetted by a distinguished team of international experts and rapidly published. Full research papers, short communications and comprehensive review articles are published under the following broad subject categories:
geochemistry and geohydrology,
soil and rock physics, biological processes in soil, soil-atmosphere interaction,
electrical, electromagnetic and thermal characteristics of porous media,
waste management, utilization of wastes, multiphase science, landslide wasting,
soil and water conservation,
sensor development and applications,
the impact of climatic changes on geoenvironmental, geothermal/ground-source energy, carbon sequestration, oil and gas extraction techniques,
uncertainty, reliability and risk, monitoring and forensic geotechnics.