Hyunjun Kim
Cited by
Cited by
Crack and noncrack classification from concrete surface images using machine learning
H Kim, E Ahn, M Shin, SH Sim
Structural Health Monitoring 18 (3), 725-738, 2019
Concrete crack identification using a UAV incorporating hybrid image processing
H Kim, J Lee, E Ahn, S Cho, M Shin, SH Sim
Sensors 17 (9), 2052, 2017
Comparative analysis of image binarization methods for crack identification in concrete structures
H Kim, E Ahn, S Cho, M Shin, SH Sim
Cement and Concrete Research 99, 53-61, 2017
Principles and applications of ultrasonic-based nondestructive methods for self-healing in cementitious materials
E Ahn, H Kim, SH Sim, SW Shin, M Shin
Materials 10 (3), 278, 2017
Automated bridge component recognition from point clouds using deep learning
H Kim, J Yoon, SH Sim
Structural Control and Health Monitoring 27 (9), e2591, 2020
Unmanned aerial vehicle (UAV)-powered concrete crack detection based on digital image processing
H Kim, SH Sim, S Cho
6th International Conference on Advances in Experimental Structural …, 2015
Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input
RP Palanisamy, S Cho, H Kim, SH Sim
Smart Structures and Systems 15 (2), 489-503, 2015
Flood fragility analysis for bridges with multiple failure modes
H Kim, SH Sim, J Lee, YJ Lee, JM Kim
Advances in Mechanical Engineering 9 (3), 1687814017696415, 2017
Performance assessment method for crack repair in concrete using PZT-based electromechanical impedance technique
H Kim, X Liu, E Ahn, M Shin, SW Shin, SH Sim
NDT & E International 104, 90-97, 2019
Automated peak picking using region‐based convolutional neural network for operational modal analysis
H Kim, SH Sim
Structural Control and Health Monitoring 26 (11), e2436, 2019
Microstructural characteristics of sound absorbable porous cement-based materials by incorporating natural fibers and aluminum powder
J Yoon, H Kim, T Koh, S Pyo
Construction and Building Materials 243, 118167, 2020
Prediction model for mechanical properties of lightweight aggregate concrete using artificial neural network
JY Yoon, H Kim, YJ Lee, SH Sim
Materials 12 (17), 2678, 2019
A new methodology development for flood fragility curve derivation considering structural deterioration for bridges
J Lee, YJ Lee, H Kim, S Sim, J Kim
Smart Structures and Systems 17 (1), 149-165, 2016
Automated wireless monitoring system for cable tension forces using deep learning
S Jeong, H Kim, J Lee, SH Sim
Structural Health Monitoring 20 (4), 1805-1821, 2021
Automated concrete crack evaluation using stereo vision with two different focal lengths
H Kim, SH Sim, BF Spencer
Automation in Construction 135, 104136, 2022
Crack identification method for concrete structures considering angle of view using RGB-D camera-based sensor fusion
H Kim, S Lee, E Ahn, M Shin, SH Sim
Structural Health Monitoring 20 (2), 500-512, 2021
Characterization of porous cementitious materials using microscopic image processing and X-ray CT analysis
J Yoon, H Kim, SH Sim, S Pyo
Materials 13 (14), 3105, 2020
Long-term autogenous healing and re-healing performance in concrete: Evaluation using air-coupled surface-wave method
E Ahn, H Kim, B Park, M Shin
Construction and Building Materials 307, 124939, 2021
Data fusion of acceleration and angular velocity for improved model updating
H Kim, S Cho, SH Sim
Measurement 91, 239-250, 2016
Automated damage localization and quantification in concrete bridges using point cloud-based surface-fitting strategy
H Kim, J Yoon, J Hong, SH Sim
Journal of Computing in Civil Engineering 35 (6), 04021028, 2021
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