Submission Deadline: 31 August 2026 View: 1310 Submit to Special Issue
Prof. Can Huang
Email: huangcancan@ncut.edu.cn
Affiliation: School of Mechanical and Materials Engineering, North China University of Technology, Beijing, 100144, China
Research Interests: smoothed particle hydrodynamics; wave-structure interactions; multi-phase flows; wave energy; marine gas hydrate; interaction between water and soil; floe ice; underwater robot
Prof. Abdelraheem Mahmoud Aly Abdallah
Email: ababdallah@kku.edu.sa
Affiliation: Department of Mathematics, Colleague of Science, King Khalid University, Abha, 61421, Saudi Arabia
Research Interests: smoothed particle hydrodynamics (ISPH/WCSPH); computational fluid dynamics (CFD) for incompressible and magnetohydrodynamic (MHD) flows; double-diffusive convection and coupled heat–mass transfer; porous-media modeling (Darcy–Brinkman–Forchheimer, LTNE); melting/solidification of nanofluids and nano-encapsulated phase-change materials (NEPCM); free-surface and fluid–structure/soil interaction; complex geometries and moving boundaries (grooved/wavy cavities, annuli, oscillating bodies); data-driven and AI-assisted CFD/SPH (XGBoost, ANN, GNN) for surrogate modeling, optimization, and uncertainty quantification; high-performance/GPU-accelerated solvers; verification, validation, and benchmark development for multiphysics flows; applications in energy systems, environmental and industrial processes, and bio-fluids.
Computational Fluid Dynamics (CFD) and Smoothed Particle Hydrodynamics (SPH) have become core engines for revealing complex flow physics in engineering and natural systems. Their complementary strengths mesh-based fidelity and mesh-free flexibility enable robust simulation of free surfaces, fluid–structure and fluid–soil interaction, multiphase and granular media, large deformations, porous-media transport, and phase change that are difficult to capture experimentally.
This Special Issue gathers recent advances, innovative algorithms, and application-driven studies that push the frontiers of accuracy, stability, efficiency, and reproducibility in CFD/SPH. We especially welcome contributions that connect methods to impactful applications across aerospace, energy systems, porous media and heat/mass transfer, environmental/coastal flows, bio-fluids, and industrial processes, including works that leverage high-performance/GPU computing and data-driven or AI-assisted modelling for acceleration, calibration, and uncertainty quantification.
Potential topics include, but are not limited to:
· Advances in SPH formulations and coupling techniques; hybrid CFD–SPH schemes
· Alternative meshless methods and comparisons/benchmarks
· Multiphysics/multiscale modeling; porous media and phase change
· Numerical stability, accuracy, efficiency, and V&V/UQ practices
· Free-surface, multiphase, and granular flow applications
· Fluid–structure and fluid–soil interaction modeling
· Heat and fluid flow, MHD, and coupled heat–mass transfer
· High-performance/GPU implementations; reduced-order and AI/ML-assisted CFD/SPH
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