JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, vol.26, no.3, pp.1233-1242, 2023 (ESCI)
This study explores the impact of including the vertical spatial variability in effective stress friction angle of clay on the
probabilistic analysis of deep excavations. The proposed methodology is demonstrated and verified by conducting random finite
element modeling (RFEM) of an instrumented deep excavation project situated in Ankara, Turkey. The excavation has a depth of
20 meters and is supported by six levels of pre-stressed ground anchors. To simulate the vertical spatial variability of effective
stress friction angle in the clay, Monte Carlo simulation method and the random field theory are employed. The simulated
parameters are then inserted into the finite element model via Python programming language to analyze the probabilistic
distribution of lateral deflections and bending moments in the drilled shaft wall. The results obtained from the Monte Carlo
simulations reveal that the incorporation and selected value of spatial variability significantly impacts the resulting lateral
movements, bending moments, and the probability of failure of the system