Date
08 May 1984, 10:15 am - 5:00 pm
Abstract
The deformation parameters of a soft lacustrine deposit, with vertical sand drains, are evaluated by means of field measurements obtained during and after the construction of a railway embankment. The geotechnical system, modelled as linearly elastic and in plane strain, is analyzed by means of the finite element method and the estimation problem is solved adopting a Bayesian approach. The experimental data, the "a priori" estimation of the parameters and their uncertainties are considered in the back-analysis. The results provide the "optimal" values of the parameters, a measure of their uncertainties and, consequently, an index of the effectiveness of the field measurement program.
Department(s)
Civil, Architectural and Environmental Engineering
Meeting Name
1st Conference of the International Conference on Case Histories in Geotechnical Engineering
Publisher
University of Missouri--Rolla
Document Version
Final Version
Rights
© 1984 University of Missouri--Rolla, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Document Type
Article - Conference proceedings
File Type
text
Language
English
Recommended Citation
Cancelli, A. and Cividini, A., "An Embankment on Soft Clays with Sand Drains Numerical Characterization of the Parameters from In-situ Measurements" (1984). International Conference on Case Histories in Geotechnical Engineering. 1.
https://scholarsmine.mst.edu/icchge/1icchge/1icchge-theme3/1
An Embankment on Soft Clays with Sand Drains Numerical Characterization of the Parameters from In-situ Measurements
The deformation parameters of a soft lacustrine deposit, with vertical sand drains, are evaluated by means of field measurements obtained during and after the construction of a railway embankment. The geotechnical system, modelled as linearly elastic and in plane strain, is analyzed by means of the finite element method and the estimation problem is solved adopting a Bayesian approach. The experimental data, the "a priori" estimation of the parameters and their uncertainties are considered in the back-analysis. The results provide the "optimal" values of the parameters, a measure of their uncertainties and, consequently, an index of the effectiveness of the field measurement program.
