Development of environmental contours using Nataf distribution model

Silva-González, F.; Heredia‐Zavoni, Ernesto; Montes-Iturrizaga, R.

doi:10.1016/j.oceaneng.2012.08.008

Cited by 78 publications

(31 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This allows for coverage in the area of the input space in which both energy period and significant wave height are high, a possible area of importance for survivability analysis of marine structures. The new shape of these contours is similar to the shape of environmental contours obtained by Silva-González et al (2013), which also provide a better coverage of the input space of interest than the contours obtained using the traditional methodology.…”

Section: Resultsmentioning

confidence: 70%

“…The use of EOFs by Forristall and Cooper (1997) shows that it is important to enhance methods for addressing the complexity of input data before applying the probability distribution fittings required by the I-FORM. The importance of capturing the correlations between input variables is also addressed by Silva-González et al (2013). In the current work, input data complexity will be reduced using principal component analysis.…”

Section: Wave Energy Converter Survivability Analysismentioning

confidence: 99%

See 1 more Smart Citation

Modified Inverse First Order Reliability Method (I-FORM) for Predicting Extreme Sea States.

Eckert-Gallup¹

2014

View full text Add to dashboard Cite

I would like to thank my advisor, Mark Stone, and my committee members Julie Coonrod and Vincent Neary for their guidance and support over the course of my degree and research. I would also like to thank my mentor at Sandia National Laboratories, Cédric Sallaberry, for everything that he has taught me and for all of the encouragement that he has given me. The body of this work has been submitted as a journal article with coauthors Cédric Sallaberry, Ann Dallman, and Vincent Neary. I thank each of these individuals for their collaboration and thank Ann and Vince for allowing me to be a part of their project.

show abstract

Section: Resultsmentioning

confidence: 70%

Section: Wave Energy Converter Survivability Analysismentioning

confidence: 99%

Modified Inverse First Order Reliability Method (I-FORM) for Predicting Extreme Sea States.

Eckert-Gallup¹

2014

View full text Add to dashboard Cite

show abstract

“…In their application of the I-FORM, Haver and Winterstein utilized a Ronsblatt transformation so that a desired return period can be used to define a fixed radius sphere within the new space [30,43]. Alternative transformations, such as a Nataf transformation, have also been utilized [44]. Huseby et al [45] introduced a second class of methods for extrapolating extreme sea states, which rely on Monte Carlo simulation of sea states based on a joint probability model.…”

Section: Environmental Characterizationmentioning

confidence: 99%

A Survey of WEC Reliability, Survival and Design Practices

Coe

Rij

2017

Energies

View full text Add to dashboard Cite

A wave energy converter must be designed to survive and function efficiently, often in highly energetic ocean environments. This represents a challenging engineering problem, comprising systematic failure mode analysis, environmental characterization, modeling, experimental testing, fatigue and extreme response analysis. While, when compared with other ocean systems such as ships and offshore platforms, there is relatively little experience in wave energy converter design, a great deal of recent work has been done within these various areas. This paper summarizes the general stages and workflow for wave energy converter design, relying on supporting articles to provide insight. By surveying published work on wave energy converter survival and design response analyses, this paper seeks to provide the reader with an understanding of the different components of this process and the range of methodologies that can be brought to bear. In this way, the reader is provided with a large set of tools to perform design response analyses on wave energy converters.

show abstract

“…The popular Nataf transform to describe an approximate joint probability model in offshore engineering applications and specifically, to model the ocean parameters have been reported in Wist et al [57], Sagrilo et al [46] and Silva-González et al [50]. The basic idea is to transform original dependent random variables into mutually independent standard normal variates.…”

Section: Nataf Transformationmentioning

confidence: 99%