Journal
INTERNATIONAL JOURNAL OF GEOMECHANICS
Volume 21, Issue 2, Pages -Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)GM.1943-5622.0001914
Keywords
Random finite-element method; Statistical analysis; Deep excavation; Strength parameters; Factor of safety
Categories
Funding
- Ratchadapisek Sompoch Endowment Fund (2020), Chulalongkorn University [763014]
- Chulalongkorn University
Ask authors/readers for more resources
This study investigates the impact of the spatial variability of a soil's undrained shear strength on lateral wall movements and ground surface settlements in deep excavation projects in Bangkok. Utilizing the random finite-element method, the research demonstrates how spatial variability significantly influences the distribution of lateral wall movements, ground surface settlements, and the stability analysis of deep excavations.
This paper investigates the effects that the spatial variability of a soil's undrained shear strength has on lateral wall movements and ground surface settlements when performing a deep excavation stability analysis. A random finite-element method is employed to statistically assess a deep excavation. A case study based on an actual deep excavation project in Bangkok's subsoils was used to validate the methodology. The two-dimensional spatial variability of the undrained shear strength in the clay layers of Bangkok's subsoil is simulated using the random field theory and Monte Carlo simulation. The Mohr-Coulomb model is used to predict lateral wall movements and ground surface settlements, while the stability analysis of the deep excavation is evaluated by the factor of safety using the strength reduction approach. The results show that spatial variability highly affects the distribution of lateral wall movements and ground surface settlements, as well as the scatter of the factor of safety corresponding to progressing stages of excavation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available