Proceedings of the
8th International Symposium on Geotechnical Safety and Risk (ISGSR)
14 – 16 December 2022, Newcastle, Australia
Editors: Jinsong Huang, D.V. Griffiths, Shui-Hua Jiang, Anna Giacomini, Richard Kelly
doi:10.3850/978-981-18-5182-7_03-013-cd
Random Finite Element Analysis for Reliability-Based Assessment of Cement-Treated Soil Columns
Department of Civil Engineering, Shibaura Institute of Technology, 3-7-5 Toyosu Koto-ku Tokyo, Japan.
ABSTRACT
The paper presents the reliability-based assessment for cement-treated soil columns based on the analysis results of the finite element method with random field theory, random finite element method (RFEM). The analysis method in which the statistical uncertainty is considered in RFEM is adopted to assure the quality of the cement-treated soil column. In the analysis method, the realizations of the statistical uncertainty are estimated using a Bayesian inference method and the random fields of strength are generated with the realizations involving the statistical uncertainty. In this study, the mean µqu, the standard deviation σqu and the autocorrelation distance θqu of the unconfined compressive strength qu are estimated using the data acquired in practical projects. The estimated statistical parameters of qu are adopted to generate the random fields of strength for a cement-treated soil column model. In the RFEM analysis, the compression behavior of a cement-treated soil column is simulated to calculate the overall strength Qu of a cement-treated soil column accounting for the spatial variability. The analysis results provide the probability characteristic of Qu of the column. Based on the empirical accumulative distribution of Qu, the reliability-based assessment is performed by calculating the probability of failure for the design strength.
Keywords: Cement-treated soil, Statistical uncertainty, Spatial variability, Random finite element method.