Journal Publications

DOI number:10.1016/j.cma.2026.118756

Journal:Computer Methods in Applied Mechanics and Engineering

Key Words:Landslide-generated tsunamis; Smoothed particle hydrodynamics; Particle shifting technique; Volume conservation; Divergence cleaning; Visco-inertial rheology

Abstract:Modeling landslide-generated tsunamis using Smoothed Particle Hydrodynamics (SPH) is hindered by multiphase interactions, large density ratios, and regime transitions that promote excessive numerical dissipation, interface smearing, and divergence errors. This study develops a conservative, interface-aware δR+-SPH framework that couples incremental density diffusion to suppress oscillations with a low-dissipation Riemann flux for energy preservation. Particle disorder is mitigated through a two-stage Optimized Particle Shifting (OPS) for intra-phase regularity and Volume-Conservation Shifting (VCS) to control long-time volume drift. Incompressibility is enforced by combining Velocity-divergence Error Mitigation (VEM) with Hyperbolic/Parabolic Divergence Cleaning (HPDC), which together control both transient and cumulative divergence. The granular phase employs a regime-consistent visco-inertial rheology that unifies rate-dependent friction with effective-pressure regulation across dry, transitional, and submerged regimes. Verification and validation against two-fluid hydrostatics, a rotating patch, immersed granular collapse, and granular slide–tsunami benchmarks confirm that δR+-SPH achieves sharper interfaces, stronger energy and volume conservation, and reduced divergence compared to existing SPH variants. The numerical campaign also yields practical, phase-aware guidelines for shifting and stabilization that balance numerical accuracy and physical fidelity. Collectively, the framework improves the predictive reliability of landslide–tsunami simulations, supporting robust hazard assessment and engineering design.

Note:中科院1区、TOP

Co-author:(中科院一区、TOP期刊) Ma Yangfan, Asai Mitsuteru (Corresponding author), Han Zheng, Su Bin, Chen Guangqi

Indexed by:Journal paper

Volume:452

Page Number:118756

Translation or Not:no

Date of Publication:2026-02-28

Included Journals:SCI