Open Access
| Issue |
E3S Web Conf.
Volume 725, 2026
2026 10th International Conference on Structure and Civil Engineering Research (ICSCER 2026)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 6 | |
| Section | Structural Analysis and Intelligent Health Monitoring | |
| DOI | https://doi.org/10.1051/e3sconf/202672505001 | |
| Published online | 08 July 2026 | |
- M. Titirla, P.K. Papadopoulos, I.N. Doudoumis, Finite element modelling of an innovative passive energy dissipation device for seismic hazard mitigation, Engineering Structures, 168, 218–228 (2018). [Google Scholar]
- P. K. Papadopoulos, M. Titirla, A. Papadopoulos, A new seismic energy absorption device through simultaneously yield and friction used for the protection of structures, in 2nd European Conference on Earthquake Engineering and Seismology (2nd ECEES), 25-29 August 2014, Istanbul, Turkey (2014). [Google Scholar]
- S.C. Jayasinghe, M. Mahmoodian, A. Alavi, A. Sidiq, F. Shahrivar, Z. Sun, J. Thangarajah, S. Setunge, A review on the applications of artificial neural network techniques for accelerating finite element analysis in the civil engineering domain, Computers & Structures, 310, 107698 (2025). [Google Scholar]
- M. Malik, A.F. Arif, ANN prediction model for composite plates against low velocity impact loads using finite element analysis, Composite Structures, 101, 290–300, (2013). [Google Scholar]
- Bishop, C. M., Pattern Recognition and Machine Learning. Springer, Berlin, (2006). [Google Scholar]
- M. Peigney, A Fourier-based machine learning technique with application in engineering, International Journal for Numerical Methods in Engineering, 122 (3): 866–897 (2021). [Google Scholar]
- R. Suwondo, I. Hidayat, M. Suangga, M. Keintjem, J. Walewangko, Dynamic Assessment of a Railway Bridge using Operational Modal Analysis and Fast Fourier Transform: A Comparative Study with Finite Element Analysis. Engineering, Technology & Applied Science Research, 15(1): 19200–19206 (2025). [Google Scholar]
- Y. Xue, Y. Li, A fast detection method via region-based fully convolutional neural networks for shield tunnel lining defects, Computer-Aided Civil and Infrastructure Engineering, 33(8): 638–654 (2018). [Google Scholar]
- A. Saltelli, R. Bolado, An alternative way to compute Fourier amplitude sensitivity test (FAST). Computational Statistics & Data Analysis, 26(4): 445–460 (1998). [Google Scholar]
- M. Cao, N.F. Alkayem, L. Pan, Sensitivity Analysis with their Applications in Civil Engineering, Artificial Neural Networks: models and applications, 335 (2016). [Google Scholar]
- J. Nossent, P. Elsen, W. Bauwens, Sobol, sensitivity analysis of a complex environmental model, Environmental modelling & software, 26(12): 1515–1525 (2011). [Google Scholar]
- M.T. Mhiri, W. Larbi, M. Chouchane, M. Guerich, Optimization of a macrofiber piezoelectric energy harvester using artificial neural networks, Composite Structures, 367, 119269 (2025). [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.