Hyunjun Kim
Hyunjun Kim
Подтвержден адрес электронной почты в домене illinois.edu - Главная страница
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
Experimental validation of Kalman filter-based strain estimation in structures subjected to non-zero mean input
R Palanisamy, S Cho, H Kim, SH Sim
Smart Structures and Systems 15 (2), 489-503, 2015
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
A new methodology development for flood fragility curve derivation considering structural deterioration for bridges
J Lee, Y Lee, H Kim, S Sim, J Kim
Smart Structures and Systems 17 (1), 149-165, 2016
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
Data fusion of acceleration and angular velocity for improved model updating
H Kim, S Cho, SH Sim
Measurement 91, 239-250, 2016
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
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
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
Flood fragility analysis of bridge piers in consideration of debris impacts
H Kim, SH Sim
Journal of the Korea Academia-Industrial cooperation Society 17 (5), 325-331, 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
Applicability of diffuse ultrasound to evaluation of the water permeability and chloride ion penetrability of cracked concrete
E Ahn, S Gwon, H Kim, C Kim, SH Sim, M Shin
Sensors 18 (12), 4156, 2018
Surface-wave based model for estimation of discontinuity depth in concrete
E Ahn, H Kim, SH Sim, SW Shin, JS Popovics, M Shin
Sensors 18 (9), 2793, 2018
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
Finite Element Model Updating Based on Data Fusion of Acceleration and Angular Velocity
HJ Kim, SJ Cho, SH Sim
Journal of the Korea institute for structural maintenance and inspection 19 …, 2015
Rheology-based determination of injectable grout fluidity for preplaced aggregate concrete using ultrasonic tomography
J Yoon, H Kim, SW Shin, SH Sim
Construction and Building Materials 260, 120447, 2020
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