Mobile QR Code QR CODE

Journal of the Korea Concrete Institute

J Korea Inst. Struct. Maint. Insp.
  • Indexed by
  • Korea Citation Index (KCI)

References

1 
Abdi, H., Williams, L. J. (2010), Principal Component Analysis, Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433-459.DOI
2 
(1992), Section XI, Subsection IWE: Requirements for Class MC and Metallic Liners of Class CC Components of Light-Water Cooled PlantsGoogle Search
3 
Hohmann, B. P., Crosson, J. P., Esselman, T. C., Wall, J. J., Quarry, M., Breon, L. (2014), Flaw Detection Capability and Sensitivity in the Inspection of Nuclear Containment Liner and Shell Mock-Ups Utilizing a Magnetostrictive Sensor (MsS) Guided Wave UT Technique, Journal of Modern Physics, 5(11), 845-856.Google Search
4 
Kim, J. H., Han, K. S., Lee, T. H. (2019), Field Experience of In-Service Inspection for Metallic Liners on Containment Building of Domestic Nuclear Power Plant, Journal of The Korean Society for Nondestructive Testing, 39(3), 161-167.Google Search
5 
(2017), Nuclear Safety and Security Commission (NSSC), Interim Inspection Results and Future Plans on Containment Liner Plate (CLP) Backside CorrosionGoogle Search
6 
Scott, D. B. (2013), Internal Inspection of Reinforced Concrete for Nuclear Structures Using Shear Wave Tomography, Energy Conversion and Management, 74, 582-586.DOI
7 
Lee, J.-W., Kee, S.-H., Lee, K. S. (2022), Evaluation of debonding defects in railway concrete slabs using shear wave tomography, Journal of the Korea Institute for Structural Maintenance and Inspection, 26(3), 11-20.DOI
8 
Choi, Y.-S., J.-H., , Cho, H.-C., Lee, C.-J. (2019), Asphalt concrete pavement surface crack detection using convolutional neural network, Journal of the Korea Institute for Structural Maintenance and Inspection, 6, 38-44.DOI
9 
Jeong, H.-P., Song, H., Choi, Y.-C. (2024), Real-time road surface recognition an black ice prevention system for asphalt concrete pavements using image analysis, Journal of the Korea Institute for Structural Maintenance and Inspection, 28(1), 82-89.DOI
10 
Van der Maaten, L. J. P., Hinton, G. E. (2008), Visualizing Data using t-SNE, Journal of Machine Learning Research, 9, 2579-2605.Google Search
11 
Yeom, Y. T., Choi, Y. W., Kim, H. J., Kim, H. H., Park, J. S., Ryu, S. W., Song, S. J. (2022), Containment Liner Plate Void Defect Detection Technique Using Phased Array Ultrasonic Testing and Acoustic Resonance Method, Materials, 15(4), 1330DOI
12 
Horowitz, P., Hill, W. (2015), The Art of ElectronicsGoogle Search
13 
Cha, Y.-J., Choi, W., Büyüköztürk, O. (2017), Deep learning- based crack damage detection using convolutional neural networks, Computer-Aided Civil and Infrastructure EngineeringDOI
14 
Dang, H. V., Raza, M., Nguye, H. x. (2020), Deep learning- baed detection of structural damage using time-serious data, Structure and Infrastructure EngineeringDOI