Nondestructive concrete strength estimation based on electro-mechanical impedance with artificial neural network TK Oh, J Kim, C Lee, S Park Journal of advanced concrete technology 15 (3), 94-102, 2017 | 30 | 2017 |
Development of Embedded EM Sensors for Estimating Tensile Forces of PSC Girder Bridges J Kim, JW Kim, C Lee, S Park Sensors 17, Article number 1989, 2017 | 21 | 2017 |
Integrating embedded piezoelectric sensors with continuous wavelet transforms for real-time concrete curing strength monitoring JW Kim, J Kim, S Park, TK Oh Structure and Infrastructure Engineering 11 (7), 897-903, 2015 | 21 | 2015 |
Artificial Neural Network-Based Early-Age Concrete Strength Monitoring Using Dynamic Response Signals J Kim, C Lee, S Park Sensors 17 (6), Article number 1319, 2017 | 20 | 2017 |
Real-time strength monitoring for concrete structures using EMI technique incorporating with fuzzy logic SK Choi, N Tareen, J Kim, S Park, I Park Applied Sciences 8 (1), 75, 2018 | 12 | 2018 |
Advanced fatigue crack detection using nonlinear self-sensing impedance technique for automated NDE of metallic structures C Lee, J Kim, S Park, DH Kim Research in Nondestructive Evaluation 26 (2), 107-121, 2015 | 10 | 2015 |
Cross-sectional loss quantification for main cable NDE based on the BH loop measurement using a total flux sensor JW Kim, J Kim, S Park Journal of Sensors 2019, 2019 | 9 | 2019 |
Investigation of Applicability of an Embedded EM Sensor to Measure the Tension of a PSC Girder J Kim, JW Kim, S Park Journal of Sensors 2019, 2019 | 9 | 2019 |
Improvement of MFL sensing–based damage detection and quantification for steel bar NDE M Park2b, JK SeungheePark | 9 | 2018 |
Compressive strength evaluation of underwater concrete structures integrating the combination of Rebound Hardness and Ultrasonic Pulse Velocity Methods with artificial neural ¡¦ S Park, J Kim, E Shin, S Han Int. J. Civil Environ. Struct. Constr. Architect. Eng 8 (1), 17-21, 2014 | 9 | 2014 |
Comparative analysis and strength estimation of fresh concrete based on ultrasonic wave propagation and maturity using smart temperature and PZT sensors N Tareen, J Kim, WK Kim, S Park Micromachines 10 (9), 559, 2019 | 7 | 2019 |
Prestressing Loss Management for PSC Girder Tendon Based on EM Sensing J Kim, J Park, A Zhang, H Lee, S Park Journal of the Computational Structural Engineering Institute of Korea 28 (4 ¡¦, 2015 | 7 | 2015 |
Early-age concrete strength estimation technique using embedded piezoelectric self-sensing impedance J Kim, JW Kim, S Park EWSHM-7th European workshop on structural health monitoring, 2014 | 7 | 2014 |
ANN-based tensile force estimation for pre-stressed tendons of PSC girders using FBG/EM hybrid sensing J Kim, J Kim, KJ Shin, H Lee, S Park Insight-Non-Destructive Testing and Condition Monitoring 59 (10), 544-552, 2017 | 6 | 2017 |
Magnetic Hysteresis Monitoring according to the Change of Tensile Force and Steel Class of PS Tendons J Kim, S Park, H Lee Journal of the Computational Structural Engineering Institute of Korea 31 (2 ¡¦, 2018 | 5 | 2018 |
Embedded EM Sensor for Tensile Force Estimation of PS tendon of PSC Girder J Park, J Kim, A Zhang, H Lee, S Park Journal of the Computational Structural Engineering Institute of Korea 28 (6 ¡¦, 2015 | 5 | 2015 |
Improvement of gpr-based rebar diameter estimation using yolo-v3 S Park, J Kim, K Jeon, J Kim, S Park Remote Sensing 13 (10), 2011, 2021 | 4 | 2021 |
Field applicability of a machine learning–based tensile force estimation for pre-stressed concrete bridges using an embedded elasto-magnetic sensor J Kim, S Park Structural Health Monitoring 19 (1), 281-292, 2020 | 4 | 2020 |
Fuzzy Logic-Based and Nondestructive Concrete Strength Evaluation Using Modified Carbon Nanotubes as a Hybrid PZT–CNT Sensor N Tareen, J Kim, WK Kim, S Park Materials 14 (11), 2953, 2021 | 3 | 2021 |
Analysis of drought vulnerable areas using neural-network algorithm JH Shin, JK Kim, MK Yeom, JP Kim Journal of the Society of Disaster Information 17 (2), 329-340, 2021 | 3 | 2021 |