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Jae-Joon Song

Seoul National University · Engineering

About the Lab

Professor Jae-Joon Song's research lab specializes in rock mechanics and fluid flow characterization in porous media, with a strong focus on geological carbon dioxide (CO₂) storage, non-Darcy flow behavior, and pore-scale modeling. The lab integrates advanced imaging techniques such as micro-CT scanning with experimental mechanics and computational modeling to investigate fluid-rock interactions, permeability evolution under varying pressure conditions, and failure mechanisms in fractured rocks. Key research directions include the development of pore channel models from reconstructed microstructures, effective pressure law applications, and digital volume correlation for strain field analysis.

CO₂ storagenon-Darcy flowpore-scale modelingrock mechanicsmicro-CT

Research Overview

Papers
173
Total Citations
1,997
Papers (5y)
50
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
50total
2022
2023
2024
2025
2026
Citations per year (5y)
311total
20222023202420252026

Selected Papers

15
1
Article|303 citations·2009
Numerical simulation of a direct shear test on a rock joint using a bonded-particle model
Jung–Wook Park, Jae-Joon Song
SJR Q1International Journal of Rock Mechanics and Mining Sciences
Mechanics of MaterialsEngineering
2
Article|144 citations·2016
Fundamental Study on Applicability of Powder-Based 3D Printer for Physical Modeling in Rock Mechanics
Sayedalireza Fereshtenejad, Jae-Joon Song
SJR Q1Rock Mechanics and Rock Engineering
Mechanics of MaterialsEngineering
3
Article|123 citations·2013
Numerical method for the determination of contact areas of a rock joint under normal and shear loads
Jung–Wook Park, Jae-Joon Song
SJR Q1International Journal of Rock Mechanics and Mining Sciences
Mechanics of MaterialsEngineering
4
Article|106 citations·2014
Model for the shear behavior of rock joints under CNL and CNS conditions
Yong-Ki Lee, Jung–Wook Park, Jae-Joon Song
SJR Q1International Journal of Rock Mechanics and Mining Sciences
Mechanics of MaterialsEngineering
5
Article|84 citations·2001
Estimation of joint length distribution using window sampling
Jae-Joon Song, Chung−In Lee
SJR Q1International Journal of Rock Mechanics and Mining Sciences
Mechanics of MaterialsEngineering
6
Article|74 citations·2015
Abrasive water jet cutting methods for reducing blast-induced ground vibration in tunnel excavation
Jung-Gyu Kim, Jae-Joon Song
SJR Q1International Journal of Rock Mechanics and Mining Sciences
Civil and Structural EngineeringEngineering
7
Article|66 citations·2001
Stability analysis of rock blocks around a tunnel using a statistical joint modeling technique
Jae-Joon Song, Chung−In Lee, Masahiro Seto
SJR Q1Tunnelling and Underground Space Technology
Management, Monitoring, Policy and LawEnvironmental Science
8
Article|63 citations·2013
A Constitutive Model for Shear Behavior of Rock Joints Based on Three-Dimensional Quantification of Joint Roughness
Jung–Wook Park, Yong-Ki Lee, Jae-Joon Song, Byung-Hee Choi
SJR Q1Rock Mechanics and Rock Engineering
Mechanics of MaterialsEngineering
9
Article|51 citations·2021
A deep convolutional neural network for rock fracture image segmentation
Hoon Byun, Jineon Kim, Dongyoung Yoon, Il-Seok Kang, Jae-Joon Song
SJR Q2Earth Science Informatics
Civil and Structural EngineeringEngineering
10
Article|50 citations·2021
Semi-automatic calculation of joint trace length from digital images based on deep learning and data structuring techniques
Yongki Lee, Jineon Kim, Chae-Soon Choi, Jae-Joon Song
SJR Q1International Journal of Rock Mechanics and Mining Sciences
GeologyEarth and Planetary Sciences
11
Article|38 citations·2020
Applicability of powder-based 3D printing technology in shear behavior analysis of rock mass containing non-persistent joints
Sayedalireza Fereshtenejad, Jae-Joon Song
SJR Q1Journal of Structural Geology
Mechanics of MaterialsEngineering
12
Article|36 citations·2024
Experimental investigation of the coupled effects of bedding planes and flaws on fracture evolution of soft bedded rocks based on 3D printing and DIC technologies
Yulong Shao, Jineon Kim, Chen He, Hong Yin, Seyedahmad Mehrishal, Chi Yao, Jae-Joon Song
SJR Q1Theoretical and Applied Fracture Mechanics
Mechanics of MaterialsEngineering
13
Article|34 citations·2020
Analysis of shale property changes after geochemical interaction under CO2 sequestration conditions
Chae-Soon Choi, Jineon Kim, Jae-Joon Song
SJR Q1Energy
Environmental EngineeringEnvironmental Science
14
Article|31 citations·2023
A Comprehensive Experimental Study on Mechanical Anisotropy and Failure Mode of 3D Printed Gypsum Rocks: From Composition and Microstructure to Macroscopic Mechanical Properties Response
Yulong Shao, Jingwei Yang, Jineon Kim, Jae-Joon Song, Juhyuk Moon, Jianyong Han
SJR Q1Rock Mechanics and Rock Engineering
Civil and Structural EngineeringEngineering
15
Article|30 citations·2024
Quantitative Analysis and 3D Visualization of Crack Behavior in 3D-Printed Rock-Like Specimens with Single Flaw Using In-Situ Micro-CT Imaging
Yulong Shao, Jingwei Yang, Jineon Kim, Seyedahmad Mehrishal, Jae-Joon Song
SJR Q1Rock Mechanics and Rock EngineeringOA

Abstract 3D printing technology allows for precise control of preparing complex geometries and internal defects in printed rock analogs, while in-situ Micro-CT imaging enables real-time observation of crack behavior. The combination of these technologies offers a new research approach for studying rock crack behavior. In this study, 3D-printed rock-like specimens containing a pre-existing flaw were prepared using a gypsum powder-based 3D printer. An advanced in-situ Micro-CT system equipped with

Mechanics of MaterialsEngineering

Research Areas

Mechanics of MaterialsCivil and Structural EngineeringEnvironmental EngineeringGeologyMechanical EngineeringManagement, Monitoring, Policy and Law

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