A new method for predicting the extreme dynamic responses of wave energy converters
Author:
Affiliation:
1. Associate Professor, State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China; School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, P. R. China ()
Abstract
Publisher
Thomas Telford Ltd.
Subject
Ocean Engineering
Link
https://www.icevirtuallibrary.com/doi/pdf/10.1680/jmaen.2020.38
Reference22 articles.
1. Berg J (2011) Extreme Ocean Wave Conditions for Northern California Wave Energy Conversion Device. Sandia National Laboratories, Albuquerque, NM, USA, SAND Report SAND2011-9034.
2. Coe R, Neary V, Lawson M, Yu YH and Weber J (2014) Extreme Conditions Modeling Workshop Report. Sandia National Laboratories, Albuquerque, NM, USA, Tech. Rep. NREL/TP-5000–62305 SNL/ SAND2014-16384R.
3. Application of principal component analysis (PCA) and improved joint probability distributions to the inverse first-order reliability method (I-FORM) for predicting extreme sea states
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3. Editorial;Proceedings of the Institution of Civil Engineers - Maritime Engineering;2021-09
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