A hybrid Modified Artificial Bee Colony and extended Kalman filter algorithm for structural system identification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42107-023-00782-3.pdf
Reference39 articles.
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2. Avci, O., Abdeljaber, O., Kiranyaz, S., Hussein, M., Gabbouj, M., & Inman, D. J. (2021). A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications (pp. 1–51). Guest Lecturer, School of Civil Engineering, University of Leeds, Leeds, United Kingdom.
3. Ayala, H. V. H., & dos Santos Coelho, L. (2016). Cascaded evolutionary algorithm for nonlinear system identification based on correlation functions and radial basis functions neural networks. Mechanical Systems and Signal Processing, 68–69, 378–393. https://doi.org/10.1016/j.ymssp.2015.05.022
4. Beheshti Aval, S. B., & Mohebian, P. (2020). Combined joint and member damage identification of skeletal structures by an improved biology migration algorithm. Journal of Civil Structural Health Monitoring, 10(3), 357–375. https://doi.org/10.1007/s13349-020-00390-8
5. Cakiroglu, C., Islam, K., Bekdaş, G., & Billah, M. (2021). Co2 emission and cost optimization of concrete-filled steel tubular (Cfst) columns using metaheuristic algorithms. Sustainability (switzerland). https://doi.org/10.3390/su13148092
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