Abstract
Soil liquefaction is investigated considering a saturated soil deposit and by implementing standard techniques of random field theory to distribute initial void ratio values and assess liquefaction risk. The soil domain is represented in a 2-dimensional (2D) random finite element model for the dynamic analysis of coupled behavior. Multiple Monte Carlo realizations are subjected to a base acceleration, while cyclic and small strain soil behaviours are achieved through a hypoplastic constitutive model. This investigation demonstrates that 2D stochastic simulations converge to 2D deterministic simulations when small standard deviations and/or small scales of fluctuation are used. However, large standard deviations combined with relatively large scales of fluctuation may cause significant uncertainty in the response of the soil deposit. Finally, common techniques employed to assess soil liquefaction are evaluated based on the results of the deterministic and random field analyses.
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Acknowledgements
This work is part of the research programme DeepNL/SOFTTOP with project number DEEP.NL.2018.006, financed by the Netherlands Organisation for Scientific Research (NWO).
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González Acosta, J.L., van den Eijnden, A.P., Hicks, M.A. (2023). Liquefaction Assessment and Soil Spatial Variation. In: Barla, M., Di Donna, A., Sterpi, D., Insana, A. (eds) Challenges and Innovations in Geomechanics. IACMAG 2022. Lecture Notes in Civil Engineering, vol 288. Springer, Cham. https://doi.org/10.1007/978-3-031-12851-6_34
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DOI: https://doi.org/10.1007/978-3-031-12851-6_34
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