JKSMI
Journal of the Korea Institute for
Structural Maintenance and Inspection
KSMI
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ISSN : 2234-6937 (Print)
ISSN : 2287-6979 (Online)
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Journal of the Korea Concrete Institute
J Korea Inst. Struct. Maint. Insp.
Indexed by
Korea Citation Index (KCI)
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2020-12
(Vol.24 No.6)
10.11112/jksmi.2020.24.6.77
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References
1
Li, H., Ou, J. (2016), The state of the art in structural health monitoring of cable-stayed bridges, Journal of Civil Structural Health Monitoring, 6(1), 43-67.
2
Amezquita-Sanchez, J. P., Adeli, H. (2014), Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures, Archives of Computational Methods in Engineering, 23(1), 1-15.
3
Meruane, V., Heylen, W. (2011), An hybrid real genetic algorithm to detect structural damage using modal properties, Mechanical Systems and Signal Processing, 25(5), 1559-1573.
4
Lederman, G., Wang, Z., Bielak, J., Noh, H., Garrett, J. H., Chen, S., ... Rizzo, P. (2014, July), Damage quantification and localization algorithms for indirect SHM of bridges, In Proc. Int. Conf. Bridge Maint.; Safety Manag., Shanghai, China
5
Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M., Inman, D. J. (2017), Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks, Journal of Sound and Vibration, 388, 154-170.
6
Teng, Z., Teng, S., Zhang, J., Chen, G., Cui, F. (2020), Structural Damage Detection Based on Real-Time Vibration Signal and Convolutional Neural Network, Applied Sciences, 10(14), 4720
7
Farahani, R. V., Penumadu, D. (2016), Damage identification of a full-scale five-girder bridge using time-series analysis of vibration data, Engineering Structures, 115, 129-139.
8
Döhler, M., Hille, F., Mevel, L., Rücker, W. (2014), Structural health monitoring with statistical methods during progressive damage test of S101 Bridge, Engineering Structures, 69, 183-193.
9
Li, Z., Park, H. S., Adeli, H. (2017), New method for modal identification of super high‐rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms, The Structural Design of Tall and Special Buildings, 26(3), e1312
10
Fugate, M. L., Sohn, H., Farrar, C. R. (2001), Vibration-based damage detection using statistical process control, Mechanical Systems and Signal Processing, 15(4), 707-721.
11
Worden, K., Manson, G., Fieller, N. R. (2000), Damage detection using outlier analysis, Journal of Sound and Vibration, 229(3), 647-667.
12
Wang, L., Wu, Y., Wang, D. (2014), Thermal effect on damaged stay-cables, Journal of Theoretical and Applied Mechanics, 52(4), 1071-1082.
13
Li, H., Ou, J. (2016), The state of the art in structural health monitoring of cable-stayed bridges, Journal of Civil Structural Health Monitoring, 6(1), 43-67.
14
Heo, G., , Kim. (2014), New Statistical Pattern Recognition Technology for Condition Assessment of Cable-stayed Bridges on Earthquake Load, KSCE Journal of Civil Engineering, 34(3), 747-754.
15
Heo, G., Wang, M. L., Satpathi, D. (1997), Optimal transducer placement for health monitoring of long span bridge, Soil Dynamics and Earthquake Engineering, 16(7-8), 495-502.