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 | 299 | 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 | 251 | 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 | 220 | 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 | 94 | 2020 |
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 | 88 | 2017 |
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 | 68 | 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 | 62 | 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 | 59 | 2019 |
Self-heating characteristics of electrically conductive cement composites with carbon black and carbon fiber S Gwon, H Kim, M Shin Cement and Concrete Composites 137, 104942, 2023 | 58 | 2023 |
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 | 58 | 2015 |
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 | 54 | 2019 |
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 | 47 | 2021 |
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 | 46 | 2019 |
Automated concrete crack evaluation using stereo vision with two different focal lengths H Kim, SH Sim, BF Spencer Automation in Construction 135, 104136, 2022 | 45 | 2022 |
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 | 41 | 2020 |
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 | 37 | 2021 |
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 | 37 | 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 | 27 | 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 | 27 | 2020 |
Comparative study of long-term displacement measurement methods− Focusing on a Pre-stressed concrete bridge under construction J Lee, S Jeong, H Kim, KC Lee, SH Sim Measurement 201, 111691, 2022 | 23 | 2022 |