Finite element-based geotechnical risk analysis for anchor-supported deep excavations
Artikel i vetenskaplig tidskrift, 2023

Evaluation of the reliability of deep excavation support systems requires the inclusion of the soil variability in conjunction
with probabilistic analysis. This is often considered a complicated process; therefore, the method is usually not followed
in routine engineering practice. Recent developments in finite element modelling now enable probabilistic analyses to be
performed more conveniently. As an illustrative example, the case history of a 20 m-deep excavation supported by anchored
drilled shafts in the Sogutozu district of Ankara was investigated. Experimental results indicate that saturated sand-gravel
bands, which are common within Ankara Clay, have the potential to cause a significant decrease in the anchor capacity. Ergo
the excavation performance, including structural capacity and wall lateral displacements, was evaluated taking into regard
the probabilistic nature of the effect of these bands and the variability of the soil parameters. Back-analysis was performed
and compared with inclinometer readings to examine the capability of the numerical model to simulate the field behaviour.
Later, additional finite element analyses were carried out through Python scripting software to investigate the reliability of
the excavation. Geotechnical parameters of the Ankara Clay produced by Monte Carlo simulation method were used in these
analyses. The results were evaluated within the context of recommended acceptable reliability levels. The reliability of the
system was determined to be relatively low when taking into account the adverse impact of sand and gravel bands.

Deep excavations · Risk analysis · Monte carlo simulation · PLAXIS · Python

Författare

Sinem Bozkurt

Geologi och geoteknik 2

Sami Oguzhan Akbas

Gazi Universitesi

Arabian Journal of Geosciences

1866-7511 (ISSN) 1866-7538 (eISSN)

Vol. 16 1-15 470

Ämneskategorier

Geoteknik

DOI

10.1007/s12517-023-11463-5

Mer information

Senast uppdaterat

2024-07-09