Next Article in Journal
Increased Microbially Induced Calcium Carbonate Precipitation (MICP) Efficiency in Multiple Treatment Sand Biocementation Processes by Augmentation of Cementation Medium with Ammonium Chloride
Next Article in Special Issue
Numerical Modelling and Investigation of the Impact Behaviour of Single Guardrail Posts
Previous Article in Journal
Borehole Analysis with the Modification of RQD Value
Previous Article in Special Issue
An Estimation of Clayey-Oriented Rock Mass Material Properties, Sited in Koropi, Athens, Greece, through Feed-Forward Neural Networks
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Geotechnics
Volume 3
Issue 4
10.3390/geotechnics3040056
geotechnics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt

by
Carmine P. Polito
Department of Civil and Environmental Engineering, Valparaiso University, Valparaiso, IN 46383, USA
Geotechnics 2023, 3(4), 1033-1046; https://doi.org/10.3390/geotechnics3040056
Submission received: 15 September 2023 / Revised: 3 October 2023 / Accepted: 5 October 2023 / Published: 8 October 2023
(This article belongs to the Special Issue Recent Advances in Geotechnical Engineering (2nd Edition))
Browse Figures
Versions Notes

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.
Keywords: maximum index void ratio; minimum index void ratio; sand–silt mixtures; void ratio predictive models; filling coefficient; embedment coefficient maximum index void ratio; minimum index void ratio; sand–silt mixtures; void ratio predictive models; filling coefficient; embedment coefficient

Share and Cite

MDPI and ACS Style

Polito, C.P. Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt. Geotechnics 2023, 3, 1033-1046. https://doi.org/10.3390/geotechnics3040056

AMA Style

Polito CP. Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt. Geotechnics. 2023; 3(4):1033-1046. https://doi.org/10.3390/geotechnics3040056

Chicago/Turabian Style

Polito, Carmine P. 2023. "Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt" Geotechnics 3, no. 4: 1033-1046. https://doi.org/10.3390/geotechnics3040056

APA Style

Polito, C. P. (2023). Correlations for Estimating Coefficients for the Prediction of Maximum and Minimum Index Void Ratios for Mixtures of Sand and Non-Plastic Silt. Geotechnics, 3(4), 1033-1046. https://doi.org/10.3390/geotechnics3040056

Article Metrics

Back to TopTop