Centrifuge test modelling through a 1D computer code for effective stress analysis
Centrifuge test modelling through a 1D computer code for effective stress analysis
Accurate numerical modelling of seismically induced liquefaction requires sophisticated computer codes with advanced constitutive soil models. These models, which incorporate plasticity and volumetric-distortional coupling, are capable of simulating both localized and generalized failure mechanisms. Nevertheless, their practical application is challenging due to the difficulty in reliably calibrating the large number of parameters that define these models. To bridge the gap between scientific accuracy and practical application, simplified models have been developed. Many of these methods operate on a decoupled basis, treating the seismic wave propagation problem independently from the estimation of response parameters (e.g., Cyclic Stress Ratio) via empirical or semi-empirical correlations. While these decoupled methods are valuable for a first, initial site screening, they may not adequately represent the highly nonlinear soil behavior that occurs as failure conditions are approached. The computer program SCOSSA incorporates a simplified stress-based pore water pressure model into a cyclic response framework, along with one-dimensional consolidation theory. This code can perform 1D loosely-coupled effective stress analyses under both fully and partially drained conditions. The objective of this paper is to evaluate the code's predictive performance in simulating a seismic site response for a layered, liquefiable soil profile, as reproduced in a centrifuge experiment. The model parameters calibration has been performed according to a type C prediction based on laboratory test data available in the literature. The results of the numerical analysis lead to a reasonable prediction in the liquefiable layer, while the underprediction of the effects observed in the dense sand is discussed.
Giuseppe Tropeano; Anna Chiaradonna; M. Fabio Soccodato; Paola Monaco
11th International Conference on Physical Modelling in Geotechnics (ICPMG2026)
Special Session 5: Combination of numerical and physical modelling
https://doi.org/10.53243/ICPMG2026-407