PSI - Issue 80

Alessandro De Luca et al. / Procedia Structural Integrity 80 (2026) 403–410 Alessandro De Luca / Structural Integrity Procedia 00 (2019) 000 – 000

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Rezazadeh, N., Perfetto, D., Polverino, A., De Luca, A., & Lamanna, G. (2024). Guided wave-driven machine learning for damage classification with limited dataset in aluminum panel. Structural Health Monitoring . Sattarifar, A., & Nestorović, T. (2022). Emergence of Machine Learning Techniques in Ultrasonic Guided Wave -based Structural Health Monitoring. International Journal of Prognostics and Health Management , 13 (1). Spencer, B. F., Sim, S. H., Kim, R. E., & Yoon, H. (2025). Advances in artificial intelligence for structural health monitoring: A comprehensive review. KSCE Journal of Civil Engineering , 29 (3), 100203. Wu, J., Xu, X., Liu, C., Deng, C., & Shao, X. (2021). Lamb wave-based damage detection of composite structures using deep convolutional neural network and continuous wavelet transform. Composite Structures , 276 , 114590. Yang, Z., Yang, H., Tian, T., Deng, D., Hu, M., Ma, J., Gao, D., Zhang, J., Ma, S., Yang, L., Xu, H., & Wu, Z. (2023). A review on guided ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques. Ultrasonics , 133 , 107014. Yuan, S., Zhang, J., Chen, J., Qiu, L., & Yang, W. (2019). A uniform initialization Gaussian mixture model – based guided wave – hidden Markov model with stable damage evaluation performance. Structural Health Monitoring , 18 (3), 853 – 868. Yue, N., & Aliabadi, M. H. (2021). Hierarchical approach for uncertainty quantification and reliability assessment of guided wave-based structural health monitoring. Structural Health Monitoring , 20 (5), 2274 – 2299. Zhu, K., Cao, M., Ostachowicz, W., & Radzienski, M. (2025). K-means aided broadband ultrasonic guided wavefield processing for damage detection in composite panels. Mechanical Systems and Signal Processing , 231 , 112696.