Abstract

This paper incorperates Bingham and bi-viscosity rheology models with the Navier–Stokes solver to simulate the dynamics and kinematics processes of slumps for tsunami generation. The rheology models are integrated into a computational fluid dynamics code, Splash3D, to solve the incompressible Navier–Stokes equations with volume of fluid surface tracking algorithm. The change between un-yield and yield phases of the slide material is controlled by the yield stress and yield strain rate in Bingham and bi-viscosity models, respectively. The integrated model is carefully validated by the theoretical results and laboratory data with good agreements. This validated model is then used to simulate the benchmark problem of the failure of the gypsum tailings dam in East Texas in 1966. The accuracy of predicted flood distances simulated by both models is about 73% of the observation data. To improve the prediction, a fixed large viscosity is introduced to describe the un-yield behavior of tailings material. The yield strain rate is obtained by comparing the simulated inundation boundary to the field data. This modified bi-viscosity model improves not only the accuracy of the spreading distance to about 97% but also the accuracy of the spreading width. The un-yield region in the modified bi-viscosity model is sturdier than that described in the Bingham model. However, once the tailing material yields, the material returns to the Bingham property. This model can be used to simulate landslide tsunamis.

Highlights

  • Tsunamis are potentially deadly and destructive sea waves

  • The rheology models were into theBM, 3D conventional bi-viscosity model (CBM), Navier–Stokes coupledsimulation

  • The results show that the modified bi-viscosity model (MBM) could provide a better prediction than Bingham model (BM) and CBM in terms

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Summary

Introduction

Tsunamis are potentially deadly and destructive sea waves. Most of the tsunamis are formed as a result of submarine earthquakes and submarine landslides. These landslides, in turn, are often triggered by earthquakes or volcanic eruptions [1]. Over the past 20 years, catastrophic tsunamis in. Papua New Guinea (1998), Indian Ocean (2004), Japan (2011), Palu Bay Indonesia (2018), and Anak. Krakatau Indonesia (2018) have driven major advances in understanding of earthquakes and submarine landslides as tsunami sources [2]. Submarine landslides have become suspects in the creation.

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