JO YOUNGBEOM
Kyung Hee University · 工学
研究室紹介
Professor Jo Youngbeom's research lab specializes in advanced computational mechanics and multiphysics simulation, with a focus on mesh-free numerical methods—particularly Smoothed Particle Hydrodynamics (SPH)—for complex fluid-structure interactions in extreme nuclear environments. The lab develops robust, GPU-parallelized SPH solvers to model highly dynamic phenomena such as steam explosions, core melt progression, high-velocity impacts, and multi-phase flows with large density ratios. Their work emphasizes accurate modeling of shockwave propagation, material failure, and thermal hydraulics in nuclear safety applications, especially under severe accident conditions.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Advanced modeling and analysis are always essential for the development of safe and reliable nuclear systems. Traditionally, the numerical analysis codes used for nuclear thermal hydraulics and safety are mostly based on mesh-based (or grid-based) methods, which are very mature for well-defined and fixed domains, both mathematically and numerically. In support of their robustness and efficiency, they have been well-fit into many nuclear applications for the last several decades. However, the rec
Abstract In this article, we propose a simple, consistent, and robust Eulerian–Lagrangian weakly compressible smoothed particle hydrodynamics (EL‐WCSPH) for the simulation of hydrodynamics and convection heat transfer problems. First, the basic governing equation is formulated using the ALE‐SPH framework. The universal formulation is similar to the standard WCSPH, but the degree of Eulerian and Lagrangian schemes can be controlled by inserting a pre‐defined arbitrary parameter . To alleviate pot
The Smoothed Particle Hydrodynamics is one of the most widely used mesh-free numerical method for thermo-fluid dynamics. Due to its Lagrangian nature and simplicity, it is recently gaining popularity in simulating complex physics with large deformations. In this study, the 3D single/two-phase numerical simulations are performed on the Liquid Metal Reactor (LMR) centralized sloshing benchmark experiment using the SPH parallelized using a GPU. In order to capture multi-phase flows with a large den
Abstract Accurately analyzing local failure areas, such as penetration or perforation in concrete structures under extreme conditions, such as those caused by shaped charge jet penetration, is of paramount importance for ensuring structural integrity and safety. This study addresses these challenging problems by developing a GPU-parallelized smoothed particle hydrodynamics solver, which incorporates advanced multiphase SPH models, complex constitutive models, and equations of state (EOS) for met
Steam explosions in nuclear reactors pose significant risks to reactor safety and containment integrity during severe accidents. This study addresses the challenges of accurately simulating shockwave propagation and structural impact in such events by establishing a unified Smoothed Particle Hydrodynamics (SPH) framework. The proposed SPH model was optimized using GPU parallelization and validated against experimental results from shock tube, underwater explosion and high-velocity impact tests,
The cover image is based on the Research Article A simple Eulerian–Lagrangian weakly compressible smoothed particle hydrodynamics method for fluid flow and heat transfer by Hee Sang Yoo et al., https://doi.org/10.1002/nme.7148.
Abstract Fuel Coolant Interaction (FCI), one of the critical phenomena in severe accident, involves a variety of physical phenomena including the interaction between coolant and fuel of high temperature. Especially, the jet break-up of a pre-mixing phase that the bulk of molten fuel breaks into the droplet is important for the accident progression. Understanding the intricate physics of jet break-up is essential to reduce the uncertainties of FCI and to mitigate severe accident. In this study, w