Mobile QR Code QR CODE : Journal of the Korean Society of Civil Engineers
1 
Abdeljaber, O., Avci, O., Kiranyaz, S., Gabbouj, M. and Inman, D. J. (2017). "Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks." Journal of Sound and Vibration, Vol. 388, pp. 154-170. DOI:10.1016/ j.jsv.2016.10.043.DOI
2 
Bengio, Y. (2012). "Deep learning of representations for unsupervised and transfer learning." Proceedings of ICML workshop on unsupervised and transfer learning, Edinburgh, Scotland, pp. 17-36.
3 
Blachowski, B., Swiercz, A., Gutkiewicz, P., Szelazek, J. and Gutkowski, W. (2016). "Structural damage detectability using modal and ultrasonic approaches." Measurements, Vol. 85, pp. 210-221, DOI:10.1016/j.measurement.2016.02.033.DOI
4 
Lee, K. H., Jeong, S. H., Sim, S. H. and Shin, D. H. (2019). "A novelty detection approach for tendons of prestressed concrete bridges based on a convolutional autoencoder and acceleration data." Sensors, Vol. 19, No. 7, 1633, DOI:10.3390/s19071633.DOI
5 
Lee, K. H., Park, J. H., Chung, M. W. and Shin, D. H. (2018). "Multi-data for damage detection of PSC bridge tendon based on auto-encoder." Proceedings of KSCE 2018 Convention, Gyeongju-si, pp. 25-26 (in Korean).
6 
Lin, Y. Z., Nie, Z. H. and Ma, H. W. (2017). "Structural damage detection with automatic feature‐extraction through deep learning." Computer-Aided Civil and Infrastructure Engineering, Vol. 32, No. 12, pp. 1025-1046. DOI:10.1111/mice.12313.DOI
7 
Soman, R., Kyriakides, M., Onoufriou, T. and Ostachowicz, W. (2018). "Numerical evaluation of multi-metric data fusion based structural health monitoring of long span bridge structures." Structure and Infrastructure Engineering, Vol. 14, No. 6, pp. 673-684, DOI:10.1080/15732479.2017.1350984.DOI
8 
Tan, Z., Thambiratnam, D., Chan, T. and Razak, H. A. (2017). "Detecting damage in steel beams using modal strain energy based damage index and Artificial Neural Network." Engineering Failure Analysis, Vol. 79, pp. 253-262, DOI:10.1016/j.engfailanal. 2017.04.035.DOI