De onderzoeksgroep Akoestiek en Trillingen (AVRG) is een toonaangevende onderzoeksgroep die fundamenteel en toegepast onderzoek verricht op het brede gebied van akoestiek en trillingen, met speciale nadruk op de ontwikkeling van geavanceerde test- en monitoringmethodologieën voor toepassingen in de machinebouw (experimentele en operationele modale analyse, schadebeoordeling en structurele gezondheidsmonitoring, conditie- en prestatiemonitoring, modellering en controle van additieve productie, optische meettechnieken).
Sinds 2011 is AVRG de onderzoekscoördinator van het Offshore Wind Infrastructure lab (OWI-lab), een samenwerking tussen UGent, Sirris en VUB. De missie van OWI-lab is het coördineren van onderzoek en ontwikkeling op het gebied van offshore windenergie in Vlaanderen.
Op het vlak van monitoring van offshore windenergie heeft AVRG een pioniersrol gespeeld en leidt het momenteel verschillende onderzoeksprojecten binnen alle Belgische offshore windparken. Zowel door de ontwikkeling van op fysica gebaseerde en gegevensgestuurde modelleringsinstrumenten voor toestandscontrole van de machines als structurele gezondheidscontrole van de funderingen beoogt het onderzoek de operatie- en onderhoudskosten te verminderen, de levensduur te optimaliseren en het ontwerp van offshore structuren te verbeteren. De groep heeft een uitgebreide staat van dienst opgebouwd in het uitvoeren van zowel langlopende als momentane dynamische metingen aan offshore windturbines en schepen.
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Engelse naam: Acoustics and Vibration Research Group
Overkoepelend instituut: Vrije Universiteit Brussel; Faculteit Ingenieurswetenschappen; Vakgroep Toegepaste Mechanica (VUB-MECH), meer
Adres: Z-building
Pleinlaan 2 1050 Elsene België
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E-mail:
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Type: Wetenschappelijk
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1 Directeur: Hoofd van de onderzoeksgroep/afdeling 2 Mariene onderzoeker: Is werkzaam in deze groep en treedt op als (co)auteur in minstens één mariene publicatie in de laatste 5 jaar. 3 Gespecialiseerd personeel: Levert administratieve of technische ondersteuning aan het zeewetenschappelijk onderzoek.
( 16 peer reviewed ) opsplitsen filter
- Chesterman, X.; Verstraeten, T.; Daems, P.J.; Nowé, A.; Helsen, J. (2023). Overview of normal behavior modeling approaches for SCADA-based wind turbine condition monitoring demonstrated on data from operational wind farms. Wind Energy Science 8(6): 893-924. https://dx.doi.org/10.5194/wes-8-893-2023, meer
- Robbelein, K.; Daems, P.-J.; Verstraeten, T.; Noppe, N.; Weijtjens, W.; Helsen, J.; Devriendt, C. (2023). Effect of curtailment scenarios on the loads and lifetime of offshore wind turbine generator support structures. Journal of Physics: Conference Series 2507: 012013. https://dx.doi.org/10.1088/1742-6596/2507/1/012013, meer
- Sadeghi, N.; D'Antuono, P.; Noppe, N.; Robbelein, K.; Weijtjens, W.; Devriendt, C. (2023). Quantifying the effect of low-frequency fatigue dynamics on offshore wind turbine foundations: a comparative study. Wind Energy Science 8(12): 1839-1852. https://dx.doi.org/10.5194/wes-8-1839-2023, meer
- Verstraeten, T.; Nowe, A.; Keller, J.; Guo, Y.; Sheng, S.W.; Helsen, J. (2019). Fleetwide data-enabled reliability improvement of wind turbines. Renew. Sust. Energ. Rev. 109: 428-437. https://dx.doi.org/10.1016/j.rser.2019.03.019, meer
- Maes, K.; Weijtjens, W.; de Ridder, E.-J.; Lombaert, G. (2018). Inverse estimation of breaking wave loads on monopile wind turbines. Ocean Eng. 163: 544-554. https://dx.doi.org/10.1016/j.oceaneng.2018.05.049, meer
- 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, meer
- 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, meer
- 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, meer
- 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, meer
- Weijtjens, W.; Verbelen, T.; De Sitter, G.; Devriendt, C. (2016). Foundation structural health monitoring of an offshore wind turbinea full-scale case study. Structural Health Monitoring 15(4): 389-402. https://dx.doi.org/10.1177/1475921715586624, meer
- 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, meer
- Shirzadeh, R.; Weijtjens, W.; Guillaume, P.; Devriendt, C. (2015). The dynamics of an offshore wind turbine in parked conditions: a comparison between simulations and measurements. Wind Energ. 18(10): 1685-1702. dx.doi.org/10.1002/we.1781, meer
- Devriendt, C.; Magalhaes, F.; Weijtjens, W.; De Sitter, G.; Cunha, A.; Guillaume, P. (2014). Structural health monitoring of offshore wind turbines using automated operational modal analysis. Structural Health Monitoring 13(6): 644-659. dx.doi.org/10.1177/1475921714556568, meer
- 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, meer
- De Sitter, G.; Weijtjens, W.; El Kafafy, M.; Devriendt, C. (2013). Monitoring changes in the soil and foundation characteristics of an offshore wind turbine using automated operational modal analysis, in: Basu, B. (Ed.) Damage Assessment of Structures X. 10th International Conference on Damage Assessment of Structures (DAMAS), July 08-10, 2013, Dublin. Key Engineering Materials, 569-570: pp. 652-659. https://dx.doi.org/10.4028/www.scientific.net/KEM.569-570.652, meer
- Shirzadeh, R.; Devriendt, C.; Bidakhvidi, M.A.; Guillaume, P. (2013). Experimental and computational damping estimation of an offshore wind turbine on a monopile foundation. J. Wind. Eng. Ind. Aerodyn. 120: 96-106. http://dx.doi.org/10.1016/j.jweia.2013.07.004, meer
- Andikagumi, H.; Mestdagh, T.; Saritas, H.; Plets, R.; Missiaen, T.; De Batist, M.; Stuyts, B.; Pirlet, H. (2024). Tectonics and deformations of the Kortrijk Clay Formation in the Princess Elisabeth Zone, Belgian Continental Shelf, in: Geologica Belgica Luxemburga International Meeting 2024: Celebrating the 150th Anniversary of the “Société Géologique de Belgique”, 11-12-13 September 2024. pp. 368-369, meer
- Mestdagh, T.; Plets, R.; Missiaen, T.; Saritasa, H.; Andikagumi, H.; De Batist, M.; Stuyts, B.; Pirlet, H. (2024). Clay Tectonics: investigating the influence of clay tectonic deformations on offshore windfarm development on the Belgian Continental Shelf, in: Regnéll, C. et al. 36th Nordic geological winter meeting, Göteborg, January 10–12 2024, Abstract volume. Geologiska Föreningen Specialpublikation , 5: pp. 284, meer
- Saritas, H.; Mestdagh, T.; Andikagumi, H.; Plets, R.; Missiaen, T.; De Batist, M.; Stuyts, B.; Pirlet, H. (2024). 3D imaging of clay tectonic deformations in the Kortrijk Formation through (ultra-)high-resolution acoustic and seismic reflection profiling in the Princess Elisabeth Zone, offshore Belgium, in: Geologica Belgica Luxemburga International Meeting 2024: Celebrating the 150th Anniversary of the “Société Géologique de Belgique”, 11-12-13 September 2024. pp. 327-328, meer
- D'Antuono, P.; Weijtjens, W.; Devriendt, C. (2023). On the minimum required sampling frequency for reliable fatigue lifetime estimation in structural health monitoring. How much is enough?, in: Rizzo, P. et al. European Workshop on Structural Health Monitoring. EWSHM 2022 - Volume 1. pp. 133-142. https://dx.doi.org/10.1007/978-3-031-07254-3_14, meer
- Gioia, N.; Peeters, C.; Daems, P.J.; Guillaume, P.; Helsen, J. (2018). Dealing with harmonics in continuous modal analysis, in: Desmet, W. et al. Proceedings of ISMA2018 - International Conference on Noise and Vibration Engineering &
USD2018 - International Conference on Uncertainty in Structural Dynamics. pp. 2819-2828, meer
- Noppe, N.; Tatsis, K.; Chatzi, E.; Devriendt, C.; Weijtjens, W. (2018). Fatigue stress estimation of offshore wind turbine using a Kalman filter in combination with accelerometers, in: Desmet, W. et al. Proceedings of ISMA2018 - International Conference on Noise and Vibration Engineering &
USD2018 - International Conference on Uncertainty in Structural Dynamics. pp. 4847-4855, meer
- 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, meer
- 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, meer
- 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, meer
- 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, meer
- 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, meer
- 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, meer
- Devriendt, C.; El-Kafafy, M.; Weijtjens, W.; De Sitter, G.; Guillaume, P. (2014). Evaluation of different automated operational modal analysis techniques for the continuous monitoring of offshore wind turbines, in: Cunha, A. et al. (Ed.) Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014. pp. 2239-2246, meer
- El-Kafafy, M.; Devriendt, C.; Weijtjens, W.; De Sitter, G.; Guillaume, P. (2014). Evaluating different automated Operational Modal Analysis techniques for the continuous monitoring of offshore wind turbines, in: Catbas, F.N. (Ed.) Dynamics of Civil Structures, Volume 4. Proceedings of the 32nd IMAC, a conference and exposition on structural dynamics, 2014. pp. 313-329. https://dx.doi.org/10.1007/978-3-319-04546-7_35, meer
- 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, meer
- Manzato, S.; Devriendt, C.; Weijtjens, W.; Di Lorenzo, E.; Peeters, B.; Guillaume, P. (2014). Removing the influence of rotor harmonics for improved monitoring of offshore wind turbines, in: Catbas, F.N. (Ed.) Dynamics of Civil Structures, Volume 4. Proceedings of the 32nd IMAC, a conference and exposition on structural dynamics, 2014. pp. 299-312. https://dx.doi.org/10.1007/978-3-319-04546-7_34, meer
- Weijtjens, W.; Verbelen, T.; De Sitter, G.; Devriendt, C. (2014). Data normalization for foundation SHM of an offshore wind turbine: a real-life case study, in: 7th European Workshop on Structural Health Monitoring. pp. 9, meer
- Devriendt, C.; De Sitter, G.; Guillaume, P. (2012). Estimating damping of an offshore wind turbine using an overspeed stop and ambient excitation, in: Proceedings of the 15th International conference on experimental mechanics. pp. 14, meer
- Devriendt, C.; El Kafafy, M.; De Sitter, G.; Jordaens, P.J.; Guillaume, P. (2012). Continuous dynamic monitoring of an offshore wind turbine on a monopile foundation, in: Proceedings of ISMA2012-USD2012. pp. 4303-4318, meer
- El-Kafafy, M.; Devriendt, C.; De Sitter, G.; De Troyer, T.; Guillaume, P. (2012). Damping estimation of offshore wind turbines using state-of-the art operational modal analysis techniques, in: Proceedings of ISMA2012-USD2012. pp. 2647-2662, meer
- Shirzadeh, R.; Devriendt, C.; Bidakhvidi, M.A.; Guillaume, P. (2012). Experimental and computational aeroelastic damping of an Offshore Wind Turbine on a monopile foundation, in: Proceedings of ISMA2012-USD2012. pp. 4401-4410, meer
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- PARKWIND: Monitoring en asset management van offshore funderingen, meer
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