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Acoustics and Vibration Research Group (VUB-AVRG)
mech.vub.ac.be/avrg/
English name: Acoustics and Vibration Research Group
Parent institute: Vrije Universiteit Brussel; Faculteit Ingenieurswetenschappen; Vakgroep Toegepaste Mechanica (VUB-MECH), more

Thesaurus terms (3) : Construction; Renewable energy; Underwater noise & sound
Address:
Z-building
Pleinlaan 2
1050 Elsene
Belgium
Tel.: +32-(0)2-629 28 35
Fax: +32-(0)2-629 28 65
E-mail:
 Persons | Publications | Project 
 
Type: Scientific
Persons (19)  Top | Publications | Project 
Abstract:
The Acoustics and Vibration research group (AVRG) is a leading research group conducting fundamental and applied research in the broad field of acoustics and vibration, with special emphasis on the development of advanced testing and monitoring methodologies with application in mechanical engineering (Experimental and Operational Modal Analysis, Damage Assessment and Structural Health Monitoring, Condition and Performance Monitoring, Additive Manufacturing Modelling and Control, Optical Measurement Techniques).

Since 2011 AVRG is the research coordinator of the Offshore Wind Infrastructure lab (OWI-lab), a collaboration between UGent, Sirris and VUB. The mission of OWI-lab is to coordinate research and development in the field of offshore wind energy in Flanders.

In the topic of monitoring offshore wind energy AVRG played a pioneering role and is currenlty leading several research projects, within all Belgian offshore wind farms, with the aim to reduce the cost of offshore wind energy. Both by developing physics-based and data-driven modelling tools for condition monitoring of the machinery and structural health monitoring of the foundations the research aims to reduce the operation and maintenance costs, optmising the lifetime and improve the design of offshore structures. The group has developed an extensive track-record in performing both long-term and instantaneous dynamic measurements on offshore wind turbines and vessels.
Publications (34)  Top | Persons | Project 
    ( 16 peer reviewed ) split up filter
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • Peer reviewed article 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
  • Peer reviewed article 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
  • Peer reviewed article 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 article 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
  • Peer reviewed article 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, more
  • Peer reviewed article 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
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • Peer reviewed article 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
  • Peer reviewed article 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, more
  • Peer reviewed article 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, more
  • 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, more
  • 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, more
  • 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, more
  • 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
  • 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). 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
  • 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
  • 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
  • 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, more
  • 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, 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
  • 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, more
  • 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, more
  • 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, more
  • 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, more
  • 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, more
  • 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, more
Project  Top | Persons | Publications 
  • PARKWIND: Monitoring en asset management van offshore funderingen, more
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