Record ID

WUT8b29674664c24f00a1f5beba6ed2392e

Author

Karol Brzeziński Karol Brzeziński,, The Institute of Roads and Bridges (FCE/IRB)Faculty of Civil Engineering (FCE)

Kazimierz Józefiak Kazimierz Józefiak,, The Institute of Roads and Bridges (FCE/IRB)Faculty of Civil Engineering (FCE)

Artur Zbiciak Artur Zbiciak,, The Institute of Roads and Bridges (FCE/IRB)Faculty of Civil Engineering (FCE)

Journal series

Measurement, ISSN 0263-2241, e-ISSN 1873-412X

Issue year

2021

Vol

174

Pages

1-8

Publication size in sheets

0.50

Keywords in English

Triaxial compression Soil, Shear strength, Linear regression, Confidence interval

ASJC Classification

2208 Electrical and Electronic Engineering; 2604 Applied Mathematics; 3104 Condensed Matter Physics; 3105 Instrumentation

Abstract in original language

Interpretation of the triaxial testing results of soil shear strength parameters is a particular case of simple linear regression. In triaxial testing the parameters of the regression have certain physical interpretation (i.e. the intercept is the cohesion and the slope is the tangent of the internal friction angle). Another important issue is that the fitting of the line is carried out on the other plane to the plane of the Mohr-Coulomb criterion. The results of the fitting need to be later transformed into the soil parameters. This makes the uncertainty analysis of the parameters nontrivial. This study focuses on the two abovementioned issues. Firstly, the transformation formulae for different planes are briefly presented. The methodology of confidence interval estimation is then described. The validity of our approach is verified by computer simulation. The results of the simulation are discussed and the conclusions regarding recommendations for laboratory test planning are drawn.

DOI

DOI:10.1016/j.measurement.2020.108949 Opening in a new tab

URL

https://www.sciencedirect.com/science/article/pii/S0263224120314263 Opening in a new tab

Language

(en) English

Score (nominal)

200

Score source

journalList

Score

Ministerial score = 200.0, 20-05-2021, ArticleFromJournal

Publication indicators

Scopus Citations = 0; WoS Citations = 0; Scopus SNIP: 2017 = 1.566; WoS Impact Factor: 2019 = 3.364 (2) - 2019=3.327 (5)

Share via portal AddThis

Refresh page

Refresh page

RDF

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.