New Achievements in Underwater Noise Modelling for Offshore Pile Driving

Conference Paper

Title: New Achievements in Underwater Noise Modelling for Offshore Pile Driving
Publication Date:
November 16, 2014
Conference Name: Inter Noise 2014
Conference Location: Melbourne, Australia
Pages: 10
Affiliation:
Stressor:

Document Access

Website: External Link
Attachment: Access File
(348 KB)

Citation

Trimoreau, B.; Lutzen, R.; Kringelum, J.; Shajarati, A.; Skjellerup, P. (2014). New Achievements in Underwater Noise Modelling for Offshore Pile Driving. Paper Presented at the Inter Noise 2014, Melbourne, Australia.
Abstract: 

Underwater noise emission from pile driving within the offshore wind industry is becoming an increasingly important issue. To advance the understanding and ability to predict underwater noise emissions and associated control measures, Lloyd’s Register Consulting and DONG Energy Wind Power have initiated model development activities. Two procedures have been applied. First a technique based on empirical data and long range sound transmission models was successfully evaluated. The prediction is based on a semi-empirical source strength which may be re-used for another site, provided the piling setup is similar. Second, a modelling method was then initiated to account for any hammer and pile configurations and gain knowledge on the near-field sound generation. The method combines two techniques: stress-Wave Equation Analysis for Piles (WEAP) and vibro-acoustic Finite Element (FE). WEAP is a well-established geotechnical tool that calculates the stress wave in the hammer-pile system. A customized WEAP is implemented in order to output soil damping and loading function information. The time-domain FE model is then set up accordingly and predicts acoustic pressure data in the vicinity of the pile. Comparisons to measured hydrophone data are very promising and that bodes well for the next modelling steps.

Find Tethys on InstagramFind Tethys on FacebookFind Tethys on Twitter
 
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.