Research

EVA research aims to advance the development of renewable energy through a comprehensive investigation of offshore wind power and other sustainable energy sources. As the world increasingly turns to clean energy sources, offshore wind presents a promising option with enormous potential. However, the dynamic nature of offshore wind structures presents unique challenges, particularly in the areas of acoustics and structural vibrations. To address these challenges, the group's research focuses on predicting and mitigating noise and vibrations that may arise from wind turbines and other offshore structures. Additionally, the group examines the drivability of piles, a crucial aspect of offshore wind construction. Through their research, the group aims to improve the efficiency and sustainability of offshore wind power, making it a more viable and effective solution for meeting the world's energy needs. Our research focus on:

  1. Develop of pile driving models
  2. Develop of noise prediction models
  3. Research in noise mitigation techniques in underwater acoustics
  4. Research in pile drivability in onshore/offshore environment
  5. Understand physical phenomena using advanced dynamic models
  6. Integration of multi-physcis models in underwater acoustics simulations
  7. Innovative development for offshore wind farms.

Find also more on our underwater acoustic simulation tool via the website.

GDP

Gentle Driving of Piles: alternative pile driving technology for reduction of noise emission and pile fatigue, website

BUBBLES JIP

Joint Industry Project to achieve more efficient and effective use of bubble curtains for noise mitigation in offshore installation projects, website

 

SIMOX

Comparison of vibro-piling technologies for reduction of noise emission and pile fatigue, website

 

FLOW

Far and Large Offshore Wind: advancement of technologies to allow the acceleration of deployment of large offshore wind farms, website

  1. Tsouvalas, A. & Metrikine, Andrei. (2013). A semi-analytical model for the prediction of underwater noise from offshore pile driving. Journal of Sound and Vibration. 332. 3232–3257. 10.1016/j.jsv.2013.01.026.
  2. Tsouvalas, A. & Metrikine, Andrei. (2014). A three-dimensional vibroacoustic model for the prediction of underwater noise from offshore pile driving. Journal of Sound and Vibration. 333. 2283–2311. 10.1016/j.jsv.2013.11.045.
  3. Tsouvalas, A. & Metrikine, Andrei. (2014). Wave radiation from vibratory and impact pile driving in a layered acousto-elastic medium. 10.13140/2.1.2300.3847.
  4. Tsouvalas, A. & Hendrikse, Hayo & Metrikine, Andrei. (2014). The completeness of the set of modes for various waveguides and its significance for the near-field interaction with vibrating structures. 10.13140/2.1.3348.9604.
  5. Tsouvalas, A. & Hendrikse, Hayo & Metrikine, Andrei. (2014). The completeness of the set of modes for various waveguides and its significance for the near-field interaction with vibrating structures.
  6. Tsouvalas, A. & Metrikine, Andrei. (2014). A Three-Dimensional Semi-analytical Model for the Prediction of Underwater Noise Generated by Offshore Pile Driving. 10.1007/978-3-642-40371-2_38.
  7. Tsouvalas, A. & van Dalen, Karel & Metrikine, Andrei. (2015). The significance of the evanescent spectrum in structure-waveguide interaction problems. The Journal of the Acoustical Society of America. 138. 2574-2588. 10.1121/1.4932016.
  8. Tsouvalas, A.. (2015). Underwater noise generated by offshore pile driving. 10.4233/uuid:55776f60-bbf4-443c-acb6-be1005559a98.
  9. Sertlek, H. Ozkan & Ainslie, Michael. (2015). AGORA: Airgun source signature model: its application for the Dutch seismic survey. Conference proceeding of UACE2015, Crete, Greece.
  10. Tsouvalas, A. & Metrikine, Andrei. (2016). Seismic response of the outer shell of a liquefied natural gas storage tank using a semi-analytical dynamic substructuring technique. International Journal of Earthquake and Impact Engineering. 1. 98. 10.1504/IJEIE.2016.080036.
  11. Tsouvalas, A. & Metrikine, Andrei. (2016). Noise reduction by the application of an air-bubble curtain in offshore pile driving. Journal of Sound and Vibration. 371. 150 - 170. 10.1016/j.jsv.2016.02.025.
  12. Tsouvalas, A. & Metrikine, Andrei. (2016). Parametric study of noise reduction by an air-bubble curtain in offshore pile driving.
  13. Tsouvalas, A. & Metrikine, Andrei. (2016). Structure-Borne Wave Radiation by Impact and Vibratory Piling in Offshore Installations: From Sound Prediction to Auditory Damage. Journal of Marine Science and Engineering. 4. 44. 10.3390/jmse4030044.
  14. H.Ö. Sertlek, Aria of the Dutch North Sea, PhD thesis, University of Leiden, 2016.
  15. Tsouvalas, A. & Barbosa, J.M. & Lourens, Eliz-Mari. (2017). Validation of a coupled FE-BE model of a masonry building with in-situ measurements.
  16. Tsouvalas, A.. (2020). Underwater Noise Emission Due to Offshore Pile Installation: A Review. Energies. 13. 10.3390/en13123037.
  17. Metrikine, Andrei & Tsouvalas, A. & Segeren, Maxim & Elkadi, Ahmed & Tehrani, Faraz & Sanchez Gomez, Sergio & Atkinson, Rob & Pisanò, Federico & Kementzetzidis, Evangelos & Tsetas, Athanasios & Molenkamp, Timo & van Beek, Kees & de vries, Peter. (2020). GDP: A New Technology for Gentle Driving of (Mono)Piles.
  18. Tsetas, Athanasios & Sanchez Gomez, Sergio & Tsouvalas, A. & van Beek, Kees & Tehrani, Faraz & Kementzetzidis, Evangelos & Pisano, Federico & Elkadi, Ahmed & Segeren, Maxim & Molenkamp, Timo & Metrikine, Andrei. (2020). Experimental identification of the dynamic behaviour of pile-soil system installed by means of three different pile-driving techniques. 2. 3005-3015. 10.47964/1120.9245.20367.
  19. Peng, Y. & Tsouvalas, A. & Metrikine, Andrei. (2020). A coupled modelling approach for the fast computation of underwater noise radiation from offshore pile driving. 10.47964/1120.9196.18574.
  20. Peng, Y., Tsouvalas, A., Stampoultzoglou, T., & Metrikine, A. (2021). A fast computational model for near- and far-field noise prediction due to offshore pile driving. The Journal of the Acoustical Society of America, 149(3), 1772–1772. doi.org/10.1121/10.0003752
  21. Peng Y, Tsouvalas A, Stampoultzoglou T, Metrikine A. Study of the Sound Escape with the Use of an Air Bubble Curtain in Offshore Pile Driving. Journal of Marine Science and Engineering. 2021; 9(2):232. doi.org/10.3390/jmse9020232
  22. Tsetas, Athanasios & Tsouvalas, A. & Metrikine, Andrei. (2021). Installation of Large-Diameter Monopiles: Introducing Wave Dispersion and Non-Local Soil Reaction. Journal of Marine Science and Engineering. 9. 313. 10.3390/jmse9030313.
  23. Meijers, Peter & Tsouvalas, A. & Metrikine, Andrei. (2021). Magnetomechanical response of a steel monopile during impact pile driving. Engineering Structures. 240. 112340. 10.1016/j.engstruct.2021.112340.
  24. Meijers, Peter & Jolink, C.T. & Tsouvalas, A. & Metrikine, Andrei. (2021). Magnetic stray field measurements to identify and localise impact-induced plastic deformation in a steel structure. International Journal of Mechanical Sciences. 217. 106990. 10.1016/j.ijmecsci.2021.106990.
  25. Sertlek, H. Ozkan. (2021). Hindcasting Soundscapes before and during the COVID-19 Pandemic in Selected Areas of the North Sea and the Adriatic Sea. Journal of Marine Science and Engineering. 9. 10.3390/jmse9070702.
  26. Tsetas, Athanasios & Tsouvalas, A. & Molenkamp, Timo & Metrikine, Andrei. (2022). A mode-matching method for the prediction of stick-slip relative motion of two elastic rods in frictional contact. Acta Mechanica. 233. 10.1007/s00707-021-03132-z.
  27. Molenkamp, Timo & Tsouvalas, A. & Metrikine, Andrei. (2022). The effect of pile slip on underwater noise emission in vibratory pile driving. 10.1201/9781003348443-15.
  28. Sanchez Gomez, Sergio & Tsetas, Athanasios & Tsouvalas, A. & Metrikine, Andrei. (2022). Dynamic Pile Response During Vibratory Driving and Modal-Based Strain Field Mapping. 10.1007/978-3-031-15758-5_116.
  29. Tsetas, Athanasios & Tsouvalas, A. & Sanchez Gomez, Sergio & Pisanò, Federico & Kementzetzidis, Evangelos & Molenkamp, Timo & Elkadi, Ahmed & Metrikine, Andrei. (2023). Gentle Driving of Piles (GDP) at a sandy site combining axial and torsional vibrations: Part I - installation tests. Ocean Engineering. 270. 113453. 10.1016/j.oceaneng.2022.113453.
  30. Tsetas, Athanasios & Tsouvalas, A. & Metrikine, Andrei. (2023). A non-linear three-dimensional pile-soil model for vibratory pile installation in layered media. International Journal of Solids and Structures. 269. 112202. 10.1016/j.ijsolstr.2023.112202.
  31. Molenkamp, Timo & Tsouvalas, A. & Metrikine, Andrei. (2023). The influence of contact relaxation on underwater noise emission and seabed vibrations due to offshore vibratory pile installation. Frontiers in Marine Science. 10. 10.3389/fmars.2023.1118286.

Dataset I

Weston Memorial Workshop (WMW) 2010

The Weston Memorial Workshop (WMW) was held at the University of Cambridge in April 2010[1, 2]. Although the focus of the workshop was signal to noise ratio and signal to reverberation ratio for simple sonar problems, the test cases have been used for other sources such as ships [3,4] and seismic airguns [5,6]. The selected test cases from the WMW 2010 are used to test well-known propagation models' performance in a shallow water environment [7]. Propagation loss (PL) results are calculated with various methods (normal modes, parabolic equation, ray theory, Weston’s flux theory, hybrid mode-flux theory). For these comparisons, the acoustic propagation algorithms of KrakenC, Bellhop, Couple, Peregrine, and SOPRANO are used. Three selected test cases from the WMW 2010 are shown below [6]. The propagation loss calculations for the selected cases are available here.

Dataset II

Airgun source signatures for the International Airgun Modelling Workshop 2016

The International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 [8,9]. For a number of specified airgun scenarios, participants in the IAMW were asked to use their models to compute source waveforms s(t) corresponding to three airgun sources, including two airgun arrays, as well as sound pressure and sound particle acceleration at specified positions relative to the sources.Three sources, denoted S1, S2 and S3 are specified by Ainslie et al. (2019). S1 is a single airgun. S2 is a line array comprising six airguns, the third of which is the same airgun as S1. S3 is a planar array comprising three nominally parallel sub-arrays, the centre sub-array of which is the same as S2. The participants of IAMW had an option to use Agora model results in their test cases. Therefore, the pre-calculated waveforms by Agora (“notional signatures” of the individual airguns for the three sources S1, S2 and S3 defined in the workshop test cases) made available here.

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