scispace - formally typeset
Search or ask a question
Author

E.A. Verner

Bio: E.A. Verner is an academic researcher. The author has an hindex of 1, co-authored 1 publications receiving 9 citations.

Papers
More filters
Proceedings ArticleDOI
01 Jan 1979

10 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: In this article, a large database of 10 clay parameters (labeled as CLAY/10/7490) from 251 studies, covering clay data from 30 regions or countries worldwide, is presented.
Abstract: This study compiles a large database of 10 clay parameters (labeled as CLAY/10/7490) from 251 studies, covering clay data from 30 regions or countries worldwide. Hence, the range of data covered by...

97 citations

Journal ArticleDOI
TL;DR: In this paper, a general numerical procedure is presented to predict pile setup by simulating the behavior of the pile during its different life stages: installation, subsequent consolidation, and loading.
Abstract: In geotechnical engineering practice, the increase over time of pile capacity after installation is sometimes referred to as pile setup or freeze. Pile setup, which is often associated with piles driven into saturated clays and silts, is mainly attributed to soil consolidation around the pile. Field observations have shown that pile setup is significant and continues to develop for a long time after pile installation. Pile foundations are usually expensive. Therefore, taking a small percentage of pile setup into consideration will result in cost reduction and savings in piling projects. This paper presents a general numerical procedure to predict pile setup by simulating the behavior of the pile during its different life stages: installation, subsequent consolidation, and loading. The Hierarchical Single Surface modeling approach, the strain path method, and the nonlinear finite element analysis of porous media were used in the analyses. The procedure was verified by successfully predicting the field behavior of pile segment models installed into soft marine clay. Numerical experiments were also conducted to demonstrate the applicability of the numerical procedure to full-scale driven piles. Piles with diameters of 0.3 m and 0.5 m and a length of 10 m were considered in the analyses.

51 citations

Journal ArticleDOI
TL;DR: In this paper, stress path evaluations were used to develop interrelationships for the undrained shear strengths obtained from these test types and showed that the normalized undrained strengths are dependent on the overconsolidation ratio (OCR) or undrained strength ratio (su/σ¯vo).
Abstract: Consolidated‐isotropically undrained, triaxial compression (CIUC), unconsolidated‐undrained, triaxial compression (UU), and unconfined compression (UC) test results were used to develop interrelationships for the undrained shear strengths (su) obtained from these test types Stress path evaluations were used to provide a general framework for interpretation of these interrelationships The results show that the normalized undrained strengths [su(UUorUC)/su(CIUC)] are dependent on the overconsolidation ratio (OCR) or undrained strength ratio (su/σ¯vo) Softer clays have lower normalized undrained strength, while harder clays, including fissured clays, result in higher normalized undrained strength Suggested correlations for these normalized undrained strengths or undrained strength ratios, as well as the linear regression data and confidence intervals corresponding to one standard deviation, are presented in this paper and show a consistent data population Direct comparison of su from UU and UC tests sho

31 citations

Journal Article
TL;DR: A discussion of a paper with the aforementioned title by Chen and Kulhawy, published in this journal (Volume 119, Number 11, November 1993), is presented in this article, where the discussion focuses on the classic regression model based on the ordinary least squares (OLS) method.
Abstract: A discussion of a paper with the aforementioned title by Chen and Kulhawy, published in this journal (Volume 119, Number 11, November 1993), is presented. The discussion focuses on the classic regression model based on the ordinary least squares (OLS) method. Specifically, Cherubini states that in some figures, OLS assumptions are violated, which indicates that different statistical methods would be more appropriate. Discussion is followed by closure from the author.

25 citations