Author:
Al-Dulayme Mohammed Kusay Ebrahım
Abstract
The escalating demand for efficient transportation infrastructure necessitates the construction of numerous tunnels, particularly in densely populated areas. However, their response to dynamic loads, like earthquakes, remains a critical concern. This study utilizes numerical modeling to assess the dynamic behavior of tunnels embedded in various silty soil types under seismic excitation. Employing Abaqus software and the finite element method, tunnels were modeled within three distinct silty soils: silty stone, silty sand, and low plasticity silty clay. Ground motion data from the 1994 Northridge earthquake was used as input to evaluate tunnel displacements. The results demonstrated significant variations in tunnel behavior based on the surrounding soil. Notably, low plasticity silty clay exhibited the largest displacements, followed by silty sand and silty stone. This emphasizes the crucial influence of soil properties on tunnel stability during seismic events. Future investigations could expand upon this work by incorporating additional soil parameters and utilizing more intricate soil models to yield even more precise predictions of tunnel response under dynamic loading conditions.
Publisher
ACADEMY Saglik Hiz. Muh. Ins. Taah. Elekt. Yay. Tic. Ltd. Sti.
Reference19 articles.
1. Schweiger, H., R. Pottler, and H. Steiner. Effect of seepage forces on the shotcrete lining of a large undersea cavern. in International conference on computer methods and advances in geomechanics. 7. 1991.
2. Gunn, M. and R. Taylor, Discussion on Atkinson and Mair (1983). Géotechnique, 1984. 35(1): p. 73-75.
3. Zdravković, L., D. Potts, and D. Hight, The effect of strength anisotropy on the behaviour of embankments on soft ground. Géotechnique, 2002. 52(6): p. 447-457.
4. Olive, K.P., et al., Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer. Science, 2009. 324(5933): p. 1457-1461.
5. Lin, F.R., et al., Hearing loss and cognition in the Baltimore Longitudinal Study of Aging. Neuropsychology, 2011. 25(6): p. 763.