The title "Computational Methods for Structural Health Monitoring" signifies the exploration of innovative techniques and methodologies aimed at assessing the integrity and performance of structures over time. This paper provides an in-depth analysis of the latest computational approaches that have been developed to monitor the health of various structures, including bridges, buildings, and infrastructure. The primary objective is to ensure safety, longevity, and efficiency of these critical systems.
Brown, S. Computational Methods for Structural Health Monitoring. Transactions on Engineering and Technology, 2020, 2, 15. https://doi.org/10.69610/j.tet.20201221
AMA Style
Brown S. Computational Methods for Structural Health Monitoring. Transactions on Engineering and Technology; 2020, 2(2):15. https://doi.org/10.69610/j.tet.20201221
Chicago/Turabian Style
Brown, Sarah 2020. "Computational Methods for Structural Health Monitoring" Transactions on Engineering and Technology 2, no.2:15. https://doi.org/10.69610/j.tet.20201221
APA style
Brown, S. (2020). Computational Methods for Structural Health Monitoring. Transactions on Engineering and Technology, 2(2), 15. https://doi.org/10.69610/j.tet.20201221
Article Metrics
Article Access Statistics
References
Park, G., Hsieh, C. W., & Yang, Y. T. (2000). A review of structural health monitoring techniques. Journal of Sound and Vibration, 237(3), 453-468.
O'Reilly, C. M., Gatt, C., & Pfeiffer, P. (2006). An overview of health monitoring systems for civil structures. Journal of Civil Engineering Management, 12(4), 1-12.
Hohpe, P., Pfeiffer, P., & Gatt, C. (2006). A review of wireless sensor networks for structural health monitoring. Journal of Civil Engineering Management, 12(4), 29-40.
Kwon, O., Cho, M. H., & Park, H. (2006). Robust model-based health monitoring of structures using wavelet-based empirical mode decomposition. Journal of Sound and Vibration, 295(1), 1-17.
McCallum, A., Russell, S., & Seligman, M. (2001). Bayesian network for structural health monitoring. In Proceedings of the 18th International Conference on Machine Learning (pp. 199-206).
Akella, M., Kasthurirengan, S., & Pfeiffer, P. (2010). A distributed sensor network architecture for structural health monitoring. Journal of Civil Engineering Management, 16(1), 1-11.
Pecht, M., Sahoo, A., & Li, X. (2011). Edge computing for structural health monitoring: A review. Shock and Vibration, 18(3), 283-296.
Chindemi, G. S., Iervolino, I., & Mariani, C. (2005). Optimal sensor placement for structural health monitoring using the particle swarm optimization. Journal of Sound and Vibration, 285(1-2), 69-82.
Nakashima, M., Ohtani, H., & Saito, S. (2009). Optimal sensor placement for damage detection using wavelet neural networks. Journal of Sound and Vibration, 322(1-2), 435-448.
Pfeiffer, P., Hohpe, P., & Gatt, C. (2010). A framework for integrating structural health monitoring into infrastructure management. Journal of Civil Engineering Management, 16(4), 1-10.
Wang, H., Pfeiffer, P., & Gatt, C. (2008). Structural health monitoring for intelligent transportation systems. Journal of Civil Engineering Management, 14(4), 1-10.