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Jae Hwa Lee

Ulsan National Institute of Science and Technology · Engineering

About the Lab

Professor Jae Hwa Lee's research lab specializes in high-fidelity numerical simulations of turbulent boundary layers and pipe flows, with a focus on understanding the dynamics, structure, and scaling of very-large-scale motions (VLSMs) and large-scale motions (LSMs). The lab investigates how surface roughness, pressure gradients, and flow geometry influence coherent structures and Reynolds stress distributions across the boundary layer. Using direct numerical simulations (DNS), the group explores the spatial organization, evolution, and interaction mechanisms of large-scale turbulent motions, particularly their role in modulating near-wall turbulence. The research bridges fundamental turbulence physics with practical implications for drag reduction and flow control in engineering systems.

turbulent boundary layersvery-large-scale motionsdirect numerical simulationcoherent structuressurface roughness effects

Research Overview

Papers
126
Total Citations
1,891
Papers (5y)
21
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
21total
2022
2023
2024
2025
2026
Citations per year (5y)
117total
20222023202420252026

Selected Papers

15
1
Article|202 citations·2011
Very-large-scale motions in a turbulent boundary layer
Jae Hwa Lee, Hyung Jin Sung
SJR Q1Journal of Fluid Mechanics

Direct numerical simulation of a turbulent boundary layer was performed to investigate the spatially coherent structures associated with very-large-scale motions (VLSMs). The Reynolds number was varied in the range Re θ = 570–2560. The main simulation was conducted by using a computational box greater than 50δ o in the streamwise domain, where δ o is the boundary layer thickness at the inlet, and inflow data was obtained from a separate inflow simulation based on Lund's method. Inspection of the

Computational MechanicsEngineering
2
Article|151 citations·2011
Direct numerical simulation of the turbulent boundary layer over a cube-roughened wall
Jae Hwa Lee, Hyung Jin Sung, Per‐Åge Krogstad
SJR Q1Journal of Fluid Mechanics

Direct numerical simulation (DNS) of a spatially developing turbulent boundary layer (TBL) over a wall roughened with regularly arrayed cubes was performed to investigate the effects of three-dimensional (3-D) surface elements on the properties of the TBL. The cubes were staggered in the downstream direction and periodically arranged in the streamwise and spanwise directions with pitches of p x / k = 8 and p z / k = 2, where p x and p z are the streamwise and spanwise spacings of the cubes and k

Computational MechanicsEngineering
3
Article|131 citations·2020
High performance H2O2 production achieved by sulfur-doped carbon on CdS photocatalyst via inhibiting reverse H2O2 decomposition
Jae Hwa Lee, Hyeonjin Cho, Sung O Park, Jeong Min Hwang, Yerin Hong, Pankaj Sharma, Woo Cheol Jeon, Yongjoon Cho, Changduk Yang, Sang Kyu Kwak, Hoi Ri Moon, Ji‐Wook Jang
SJR Q1Applied Catalysis B: Environmental
Renewable Energy, Sustainability and the EnvironmentEnergy
4
Article|86 citations·2016
Large-scale motions in turbulent boundary layers subjected to adverse pressure gradients
Jae Hwa Lee
SJR Q1Journal of Fluid Mechanics

It is known that large-scale streamwise velocity-fluctuating structures ( $u^{\prime }$ ) are frequently observed in the log region of a zero pressure gradient turbulent boundary layer, and that these motions significantly influence near-wall small-scale $u^{\prime }$ -structures by modulating the amplitude (Hutchins & Marusic, J. Fluid Mech. , vol. 579, 2007, pp. 1–28; Mathis et al. , J. Fluid Mech. , vol. 628, 2009, pp. 311–337). In the present study, we provide evidence that the spatial o

Computational MechanicsEngineering
5
Article|83 citations·2012
Knowledge maps for e-learning
Jae Hwa Lee, Aviv Segev
SJR Q1Computers & Education
Artificial IntelligenceComputer Science
6
Article|81 citations·2013
Comparison of very-large-scale motions of turbulent pipe and boundary layer simulations
Jae Hwa Lee, Hyung Jin Sung
SJR Q1Physics of Fluids

A direct numerical simulation of a fully developed turbulent pipe flow was performed to investigate the similarities and differences of very-large-scale motions (VLSMs) to those of turbulent boundary layer (TBL) flows. The Reynolds number was set to ReD = 35 000, and the computational domain was 30 pipe radii in length. Inspection of instantaneous fields, streamwise two-point correlations, and population trends of the momentum regions showed that the streamwise length of the structures in the pi

Computational MechanicsEngineering
7
Article|60 citations·2010
Direct numerical simulation of a turbulent boundary layer up to Reθ=2500
Jae Hwa Lee, Hyung Jin Sung
SJR Q1International Journal of Heat and Fluid Flow
Computational MechanicsEngineering
8
Article|39 citations·2012
Turbulent boundary layers over rod- and cube-roughened walls
Jae Hwa Lee, Abu Seena, Seunghyun Lee, Hyung Jin Sung
SJR Q2Journal of Turbulence

Direct numerical simulations (DNSs) of spatially developing turbulent boundary layers (TBLs) over two-dimensional (2D) rod-roughened walls and three-dimensional (3D) cube-roughened walls were performed to investigate the effects of the streamwise spacing of roughness elements on the properties of the TBLs. The inspection of the Reynolds stresses showed that except for the 2D rough walls with px /k = 2 and 3, the effects of the roughness on the 2D and 3D rough walls extend to the outer layer and

Computational MechanicsEngineering
9
Article|37 citations·2015
Turbulent boundary layer flow with a step change from smooth to rough surface
Jae Hwa Lee
SJR Q1International Journal of Heat and Fluid FlowOA
Computational MechanicsEngineering
10
Article|36 citations·2019
Space–time formation of very-large-scale motions in turbulent pipe flow
Jae Hwa Lee, Hyung Jin Sung, Ronald J. Adrian
SJR Q1Journal of Fluid Mechanics

We examine the origin of very-large-scale motions (VLSMs) in fully developed turbulent pipe flow at friction Reynolds number, $\mathit{Re}_{\unicode[STIX]{x1D70F}}=934$ , using data from a direct numerical simulation. The VLSMs and the packet-like large-scale motions (LSMs) found in this study are very similar to those found in earlier studies. Three-dimensional time-evolving instantaneous fields show that one component of the process leading to the large streamwise length of VLSMs is the concat

Computational MechanicsEngineering
11
Article|27 citations·2009
Structure of the turbulent boundary layer over a rod-roughened wall
Jae Hwa Lee, Seunghyun Lee, Kyoungyoun Kim, Hyung Jin Sung
SJR Q1International Journal of Heat and Fluid Flow
Computational MechanicsEngineering
12
Article|24 citations·2018
Innovative analytic and experimental methods for thermal management of SMD-type LED chips
Hosung Jang, Jae Hwa Lee, Chan Byon, Byeong Jun Lee
SJR Q1International Journal of Heat and Mass Transfer
Mechanical EngineeringEngineering
13
Article|23 citations·2014
Flapping dynamics of a flexible flag in a uniform flow
Jae Hwa Lee, Wei‐Xi Huang, Hyung Jin Sung
SJR Q3Fluid Dynamics Research

Numerical simulations using the immersed boundary method were performed to investigate the flapping dynamics of a flexible flag in a uniform flow. The relevant parameters related to the problem are the mass ratio , the bending rigidity of the flag and the Reynolds number , where ρ1 denotes the line density difference between the flag and the surrounding fluid. By varying the parameters over the ranges 0 ≦̸ ρ ≦̸ 10 and 10−4 ≦̸ KB ≦̸ 10–1 for Re = 200, we identified three dynamical states: the str

Computational MechanicsEngineering
14
Article|21 citations·2020
Large-eddy simulations of complex aerodynamic flows over multi-element iced airfoils
Young Mo Lee, Jae Hwa Lee, L. Prince Raj, Je Hyun Jo, R.S. Myong
SJR Q1Aerospace Science and Technology
Aerospace EngineeringEngineering
15
Article|18 citations·2021
Flow-mediated interactions between two self-propelled flexible fins near sidewalls
Young Dal Jeong, Jae Hwa Lee, Sung Goon Park
SJR Q1Journal of Fluid Mechanics

Abstract

Aerospace EngineeringEngineering

Research Areas

Computational MechanicsAerospace EngineeringMaterials ChemistryRenewable Energy, Sustainability and the EnvironmentArtificial IntelligenceSurfaces, Coatings and Films

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