SCHOLARLY PUBLICATION

Incompressible smoothed particle hydrodynamics for free-surface flows: A generalised diffusion-based algorithm for stability and validations for impulsive flows and propagating waves

Steven Lind, Rui Xu, PETER K. STANSBY, Benedict D. Rogers

📖 Journal of Computational Physics → 📅 2011-11-05 🔗 DOI: 10.1016/j.jcp.2011.10.027

View Journal Profile → View Official Paper ↗

📄 Abstract

The abstract has not yet been added. Use the official source link for the complete publication record.

ℹ️ Publication Details

Journal: Journal of Computational Physics
Published: 2011-11-05
DOI: 10.1016/j.jcp.2011.10.027
OpenAlex: W2031003223
Access: Via publisher

📋 Cite This Paper

Steven Lind, Rui Xu, PETER K. STANSBY, Benedict D. Rogers (2011). Incompressible smoothed particle hydrodynamics for free-surface flows: A generalised diffusion-based algorithm for stability and validations for impulsive flows and propagating waves. Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2011.10.027

🔬 Related Research Papers

Journal of Computational Physics

On positivity-preserving high order discontinuous Galerkin schemes for compressible Euler equations on rectangular meshes

Xiangxiong Zhang, Chi‐Wang Shu 2010-08-19 · Read paper → Journal of Computational Physics

A balanced-force algorithm for continuous and sharp interfacial surface tension models within a volume tracking framework

Marianne Francois, Sharen J. Cummins et al. 2005-09-20 · Read paper → Journal of Computational Physics

Mapped weighted essentially non-oscillatory schemes: Achieving optimal order near critical points

Andrew K. Henrick, Tariq D. Aslam, Joseph M. Powers 2005-03-18 · Read paper → Journal of Computational Physics

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

Yinhao Zhu, Nicholas J. Zabaras et al. 2019-05-22 · Read paper → Journal of Computational Physics

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

Ameya D. Jagtap, Kenji Kawaguchi, George Em Karniadakis 2019-11-25 · Read paper → Journal of Computational Physics

The scalar auxiliary variable (SAV) approach for gradient flows

Jie Shen, Jie Xu, Jiang Yang 2017-10-23 · Read paper → Journal of Computational Physics

Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials

Aidan P. Thompson, Laura Painton Swiler et al. 2014-12-15 · Read paper →

📄 Abstract

🔬 Related Research Papers

On positivity-preserving high order discontinuous Galerkin schemes for compressible Euler equations on rectangular meshes

A balanced-force algorithm for continuous and sharp interfacial surface tension models within a volume tracking framework

Adaptive numerical algorithms in space weather modeling

A generalized wall boundary condition for smoothed particle hydrodynamics

A new difference scheme for the time fractional diffusion equation

Ensemble forecasting

A sequel to AUSM, Part II: AUSM+-up for all speeds

Mapped weighted essentially non-oscillatory schemes: Achieving optimal order near critical points

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

Adaptive activation functions accelerate convergence in deep and physics-informed neural networks

The scalar auxiliary variable (SAV) approach for gradient flows

Spectral neighbor analysis method for automated generation of quantum-accurate interatomic potentials