Incorporating installation effects into the probability analysis of controlled modulus columns - Publication - Bridge of Knowledge

Search

Incorporating installation effects into the probability analysis of controlled modulus columns

Abstract

This technical report presents the probabilistic analysis which integrates the Monte Carlo simulation (MCS) with random field theory to model the load–displacement behavior of Controlled Modulus Columns (CMCs) in overconsolidated Poznań clay. Presented study focuses on the practical aspects of statistical analysis of geotechnical data, numerical model development, and results evaluation. Variability and spatial distribution of geotechnical parameters are based directly on field and lab testing. The inherent variability of soil parameters obtained from geotechnical investigation at the site is similar to the values reported in worldwide datasets for clays. The extensive discussion about incorporation of installation effects into numerical modelling is made. It was found that proper incorporation of installation effects is governed by correct estimation of initial stress level and interface shear strength parameters. The Anisotropic Undrained Shear Strength (AUS) model which captures nonlinear behavior and anisotropy of soil (Krabbenhøft et al., 2019) is a good choice to model overconsolidated clay in intact and interface zones. The application of total stress approach, the AUS model, installation effects, and natural (inherent) variability of soil and interface parameters is sufficient to explain differences in CMC load – displacement behavior observed in the field.

Citations

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
SOILS AND FOUNDATIONS no. 63,
ISSN: 0038-0806
Language:
English
Publication year:
2023
Bibliographic description:
Konkol J.: Incorporating installation effects into the probability analysis of controlled modulus columns// SOILS AND FOUNDATIONS -Vol. 63,iss. 1 (2023), s.101266-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.sandf.2022.101266
Sources of funding:
  • IDUB
Verified by:
Gdańsk University of Technology

seen 108 times

Recommended for you

Meta Tags