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April 3, 2026Scientific Review Engineering and Environmental Sciences (SREES)0 citationsOpen Access

Nonlinear analysis for liquefaction simulation: implication of constitutive soil model

SFSiti Nurlita FITRINSNiken Silmi SurjandariGCGaluh Chrismaningwang

Key Points

  • This research aims to evaluate the cyclic behavior of soil to assess liquefaction risks in earthquake-prone areas like Lombok.
  • Used one-dimensional nonlinear analysis with MKZ and GQ/H constitutive models.
  • Evaluated soil behavior through the DEEPSOIL program.
  • Conducted soil investigations with five boreholes based on SPT data.
  • Both MKZ and GQ/H models showed similar maximum pore water pressures under full liquefaction.
  • GQ/H provided more realistic simulation results for low and medium liquefaction scenarios.
  • The GQ/H model exhibited the strongest correlation between strain ratio and shear stress across all sites.

Abstract

The nonlinear analysis for assessing the cyclic behavior of a specific location is widely applied to minimize geohazards, especially soil liquefaction. The Mandalika circuit project in the Lombok area is highly prone to earthquakes and is located on sand as the subgrade. The high soil liquefaction susceptibility leads to a comprehensive assessment by implementing the appropriate soil constitutive model. One-dimensional nonlinear analysis with two constitutive models, Modified Kondner–Zelasko (MKZ) and General Quadratic/Hyperbolic (GQ/H), provided by the DEEPSOIL program, is examined to generate the dynamic behavior aimed at by this research. Five boreholes from SPT data are conducted as part of the soil investigation data. Based on the pore water pressure, the MKZ and GQ/H in the maximum value (full liquefaction condition) are almost similar in output. However, in other situations, they show the opposite result. The GQ/H predicts a more realistic simulation in the low and medium liquefaction cases, which presents the most significant correlation between strain ratio and shear stress results in all sites. For an accurate evaluation of liquefaction behavior, the combination of dynamic features from an appropriate constitutive model should be considered to simulate the liquefaction behavior of sand.

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Cite This Study

FITRI et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e015a333a821460c0cahttps://doi.org/10.22630/srees.10987
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