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Iliopoulos, Alexandros
ORCID

Institute
Publications (17)

Vrije Universiteit Brussel; Mechanics of Materials and Constructions (MEMC), more

Institutional address:
Vrije Universiteit Brussel
Pleinlaan 2
1050 - Brussel
Belgium
E-mail:

A1 Publications (4) [show]
Iliopoulos, A.; Weijtjens, W.; Van Hemelrijck, D.; Devriendt, C. (2017). Fatigue assessment of offshore wind turbines on monopile foundations using multi-band modal expansion. Wind Energ. 20(8): 1463-1479. https://dx.doi.org/10.1002/we.2104, more Iliopoulos, A.; Shirzadeh, R.; Weijtjens, W.; Guillaume, P.; Van Hemelrijck, D.; Devriendt, C. (2016). A modal decomposition and expansion approach for prediction of dynamic responses on a monopile offshore wind turbine using a limited number of vibration sensors. Mechanical Systems and Signal Processing 68-69: 84-104. dx.doi.org/10.1016/j.ymssp.2015.07.016, more Iliopoulos, A.N.; Van Hemelrijck, D.; Vlassenbroeck, J.; Aggelis, D.G. (2016). Assessment of grouted samples from monopile wind turbine foundations using combined non-destructive techniques. Constr. Build. Mater. 122: 855-862. https://dx.doi.org/10.1016/j.conbuildmat.2015.11.047, more Maes, K.; Iliopoulos, A.; Weijtjens, W.; Devriendt, C.; Lombaert, G. (2016). Dynamic strain estimation for fatigue assessment of an offshore monopile wind turbine using filtering and modal expansion algorithms. Mechanical Systems and Signal Processing 76-77: 592-611. https://dx.doi.org/10.1016/j.ymssp.2016.01.004, more
Peer reviewed publications (4) [show]
Noppe, N.; Iliopoulos, A.; Weijtjens, W.; Devriendt, C. (2016). Full load estimation of an offshore wind turbine based on SCADA and accelerometer data. Journal of Physics: Conference Series 753: 072025. https://dx.doi.org/10.1088/1742-6596/753/7/072025, more Weijtjens, W.; Noppe, N.; Verbelen, T.; Iliopoulos, A.; Devriendt, C. (2016). Offshore wind turbine foundation monitoring, extrapolating fatigue measurements from fleet leaders to the entire wind farm. Journal of Physics: Conference Series 753: 092018. https://dx.doi.org/10.1088/1742-6596/753/9/092018, more Iliopoulos, A.N.; Weijtjens, W.; Van Hemelrijck, D.; Devriendt, C. (2015). Prediction of dynamic strains on a monopile offshore wind turbine using virtual sensors. Journal of Physics: Conference Series 628: 012108. https://dx.doi.org/10.1088/1742-6596/628/1/012108, more Iliopoulos, A.N.; Devriendt, C.; Iliopoulos, S.N.; Van Hemelrijck, D. (2014). Continuous fatigue assessment of offshore wind turbines using a stress prediction technique, in: Kundu, T. (Ed.) Health Monitoring of Structural and Biological Systems 2014. Proceedings of SPIE, the International Society for Optical Engineering, 9064: pp. 11 pp. dx.doi.org/10.1117/12.2045576, more
Book chapters (8) [show]
Iliopoulos, A.; Van Hemelrijck, D.; Noppe, N.; Weijtjens, W.; Devriendt, C. (2017). Effective virtual sensing scheme for fatigue assessment of monopile offshore wind turbines, in: Bakker, J. et al. (Ed.) (2016). Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the Fifth International Symposium on Life-Cycle Civil Engineering (IALCCE 2016), 16-19 October 2016, Delft, The Netherlands. pp. 305-310, more Weijtjens, W.; Noppe, N.; Verbelen, T.; Devriendt, C.; Iliopoulos, A. (2017). Fatigue life assessment of three offshore wind turbines, in: Bakker, J. et al. (Ed.) Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure: Proceedings of the Fifth International Symposium on Life-Cycle Civil Engineering (IALCCE 2016), 16-19 October 2016, Delft, The Netherlands. pp. 742-747, more Iliopoulos, A.; Weijtjens, W.; Van Hemelrijck, D.; Devriendt, C. (2016). Full-field strain prediction applied to an offshore wind turbine, in: Atamturktur, S. et al. Model validation and uncertainty quantification, volume 3. Proceedings of the 34th IMAC, a conference and exposition on structural dynamics 2016. pp. 349-357. https://dx.doi.org/10.1007/978-3-319-29754-5_34, more Maes, K.; De Roeck, G.; Iliopoulos, A.; Weijtjens, W.; Devriendt, C.; Lombaert, G. (2016). Kalman filter based strain estimation for fatigue assessment of an offshore monopile wind turbine, in: Sas, P. et al. (Ed.) Proceedings of ISMA 2016 International Conference on Noise and Vibration Engineering and USD2016 International Conference on Uncertainty in Structural Dynamics. pp. 1649-1661, more Maes, K.; De Roeck, G.; Iliopoulos, A.; Weijtjens, W.; Devriendt, C.; Lombaert, G. (2016). Online input and state estimation in structural dynamics, in: Di Miao, D. et al. Special topics in structural dynamics, volume 6. Proceedings of the 34th IMAC, a conference and exposition on structural dynamics 2016. pp. 1-10. https://dx.doi.org/10.1007/978-3-319-29910-5_1, more Iliopoulos, A.; Weijtjens, W.; Van Hemelrijck, D.; Devriendt, C. (2015). Long-term prediction of dynamic responses on an offshore wind turbine using a virtual sensor approach, in: Chang, F.-K. et al. (Ed.) 10th International Workshop on Structural Health Monitoring 2015: System Reliability for Verification and Implementation. pp. 2793-2800, more Maes, K.; De Roeck, G.; Lombaert, G.; Iliopoulos, A.; Van Hemelrijck, D.; Devriendt, C.; Guillaume, P. (2015). Continuous strain prediction for fatigue assessment of an offshore wind turbine using Kalman filtering techniques, in: 2015 IEEE workshop on environmental, energy and structural monitoring systems: proceedings. pp. 44-49, more Maes, K.; De Roeck, G.; Lombaert, G.; Iliopoulos, A.; Van Hemelrijck, D.; Devriendt, C.; Guillaume, P. (2014). Continuous strain prediction for fatigue assessment of an offshore wind turbine using a joint input-state estimation algorithm and a modal interpolation algorithm, in: Furuta, H. et al. (Ed.) Life-cycle of structural systems: design, assessment, maintenance and management. pp. 146-152, more
Other publication [show]
Zou, J.; Cicirello, A.; Iliopoulos, A.; Lourens, E.-M. (2023). Gaussian process latent force models for virtual sensing in a monopile-based offshore wind turbine, in: Rizzo, P. et al. European Workshop on Structural Health Monitoring. EWSHM 2022 - Volume 1. pp. 290-298. https://dx.doi.org/10.1007/978-3-031-07254-3_29, more