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Sungsik Yoon
Sungsik Yoon
Hannam University
E-mail confirmado em hnu.kr
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Ano
Assessment of speckle-pattern quality in digital image correlation based on gray intensity and speckle morphology
J Park, S Yoon, TH Kwon, K Park
Optics and Lasers in Engineering 91, 62-72, 2017
922017
Uniaxial/biaxial flexure strengths and elastic properties of resin-composite block materials for CAD/CAM
BJ Choi, S Yoon, YW Im, JH Lee, HJ Jung, HH Lee
Dental Materials 35 (2), 389-401, 2019
572019
Seismic fragility analysis of a buried pipeline structure considering uncertainty of soil parameters
S Yoon, DH Lee, HJ Jung
International Journal of Pressure Vessels and Piping 175, 103932, 2019
442019
Bridge Inspection and condition assessment using Unmanned Aerial Vehicles (UAVs): Major challenges and solutions from a practical perspective
S Jung, Hyung-Jo, Yoon
Smart Structures and Systems, An International Journal 24 (5), 669-681, 2019
362019
A comprehensive framework for seismic risk assessment of urban water transmission networks
S Yoon, YJ Lee, HJ Jung
International journal of disaster risk reduction 31, 983-994, 2018
332018
Diagnosis of crack damage on structures based on image processing techniques and R-CNN using unmanned aerial vehicle (UAV)
JH Lee, SS Yoon, IH Kim, HJ Jung
Sensors and smart structures technologies for civil, mechanical, and …, 2018
262018
Digital image correlation in dental materials and related research: A review
S Yoon, HJ Jung, JC Knowles, HH Lee
Dental Materials 37 (5), 758-771, 2021
242021
Accelerated system-level seismic risk assessment of bridge transportation networks through artificial neural network-based surrogate model
S Yoon, J Kim, M Kim, HY Tak, YJ Lee
Applied Sciences 10 (18), 6476, 2020
202020
A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle
JH Lee, S Yoon, B Kim, GH Gwon, IH Kim, HJ Jung
Smart Struct. Syst 27 (2), 209-226, 2021
152021
Three-dimensional image coordinate-based missing region of interest area detection and damage localization for bridge visual inspection using unmanned aerial vehicles
S Yoon, GH Gwon, JH Lee, HJ Jung
Structural Health Monitoring 20 (4), 1462-1475, 2021
142021
A comparative study of bridge inspection and condition assessment between manpower and a UAS
IH Kim, S Yoon, JH Lee, S Jung, S Cho, HJ Jung
Drones 6 (11), 355, 2022
132022
A novel approach to assess the seismic performance of deteriorated bridge structures by employing UAV‐based damage detection
S Yoon, BF Spencer Jr, S Lee, HJ Jung, IH Kim
Structural Control and Health Monitoring, e2964, 2022
122022
Seismic fragility analysis of deteriorated bridge structures employing a UAV inspection-based updated digital twin
S Yoon, S Lee, S Kye, IH Kim, HJ Jung, BF Spencer Jr
Structural and Multidisciplinary Optimization 65 (12), 346, 2022
92022
A comprehensive approach to flow-based seismic risk analysis of water transmission network
SY Hyung-Jo Jung, Young-Joo Lee
Structural Engineering and Mechanics, An Int'l Journal 73 (3), 339-351, 2020
9*2020
Optimal decision making in post-hazard bridge recovery strategies for transportation networks after seismic events
S Yoon, W Suh, YJ Lee
Geomatics, Natural Hazards and Risk 12 (1), 2629-2653, 2021
62021
Flow-based optimal system Design of Urban Water Transmission Network under seismic conditions
S Yoon, YJ Lee, HJ Jung
Water Resources Management 34, 1971-1990, 2020
52020
Accelerated Monte Carlo analysis of flow-based system reliability through artificial neural network-based surrogate models
S Yoon, YJ Lee, HJ Jung
Smart Structures and Systems 26 (2), 175-184, 2020
52020
Flow-based seismic resilience assessment of urban water transmission network
S Yoon, YJ Lee, HJ Jung
Structural Engineering and Mechanics 79 (4), 517-529, 2021
42021
Flow-based seismic risk assessment of a water transmission network employing probabilistic seismic hazard analysis
S Yoon, YJ Lee, HJ Jung
Natural Hazards 105, 1231-1254, 2021
42021
Dynamic Response Measurement and Cable Tension Estimation Using an Unmanned Aerial Vehicle
IH Kim, HJ Jung, S Yoon, JW Park
Remote Sensing 15 (16), 4000, 2023
32023
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