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JOURNALS // Dal'nevostochnyi Matematicheskii Zhurnal // Archive

Dal'nevost. Mat. Zh., 2023 Volume 23, Number 2, Pages 143–151 (Mi dvmg513)

Numerical simulation of a landslide-type tsunami

M. O. Avdeevaa, J. G. Bogoutdinovaa, K. A. Chekhoninb

a Khabarovsk Division of the Institute for Applied Mathematics, Far Eastern Branch, Russian Academy of Sciences
b Computer Centre of Far Eastern Branch RAS, Khabarovsk

Abstract: The article proposes mathematical models and stable numerical algorithms for solving problems of deformation and flow of water-saturated porous materials. This class of problems arises in many engineering and applied fields, from field development to biomechanics. Of particular interest are the problems of the collapse of the banks of rivers, lakes and bays of the seas due to their catastrophic impact on possible consequences, for example, blocking the riverbed, the occurrence of a tsunami on the water surface of a reservoir, etc. For the mathematical description of the stress-strain state of saturated porous media, the Biot theory of three-dimensional consolidation is used, supplemented by the kinetics of damage accumulation in the medium and the Drucker-Prager yield conditions. After the formation of the main yield surface (or crack) in the material at the moment of the beginning of the collapse, its rheological properties are presented in the form of a Bingham model with a mathematical description similar to the Navier-Stokes equations with effective viscosity. A characteristic hydrodynamic feature of the problem under consideration is the presence of a free surface. Numerical modeling of the considered problems is carried out by the finite element method. The evolution of the free surface and the occurrence of a tsunami generated by a landslide are investigated.

Key words: landslide, finite element method, Biot theory, saturated soil, river tsunami.

UDC: 517.95

MSC: Primary 35Q79; Secondary 35Q93

Received: 03.10.2022
Accepted: 14.11.2023

DOI: 10.47910/FEMJ202312



© Steklov Math. Inst. of RAS, 2024