Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Christos N. Stefanakos"'
Publikováno v:
Environmetrics. 17:25-46
A new method for calculating return periods of various level values from nonstationary time series data is presented. The key idea of the method is a new definition of the return period, based on the MEan Number of Upcrossings of the level x* (MENU m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58406633039f3cbb2beed9ad0b3ee64
https://doi.org/10.1002/env.742
https://doi.org/10.1002/env.742
Autor:
Christos N. Stefanakos
Publikováno v:
Volume 1: Offshore Technology; Special Symposium on Ocean Measurements and Their Influence on Design.
In the present work, return periods of various level values of significant wave height in the Gulf of Mexico are given. The predictions are based on a new method for nonstationary extreme-value calculations that have recently been published. This enh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5a5c4501d39c8869909d1976658a156
https://doi.org/10.1115/omae2007-29383
https://doi.org/10.1115/omae2007-29383
Publikováno v:
Volume 3: Safety and Reliability; Materials Technology; Douglas Faulkner Symposium on Reliability and Ultimate Strength of Marine Structures.
A new method for calculating return periods of various level values from nonstationary time series data is presented. The key-idea of the method is a new definition of the return period, based on the Mean Number of Upcrossings of the level x* (MENU m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9cc440dceb5b929bc1ec20103235986
https://doi.org/10.1115/omae2006-92601
https://doi.org/10.1115/omae2006-92601
Autor:
Christos N. Stefanakos
Publikováno v:
24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 2.
It is a well-known fact that long-term time series of wind and wave data are modelled as nonstationary stochastic processes with yearly periodic mean value and standard deviation (periodically correlated or cyclostationary stochastic processes). Usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c26f32b33b10096f51575c7c4ee3648
https://doi.org/10.1115/omae2005-67181
https://doi.org/10.1115/omae2005-67181
Publikováno v:
24th International Conference on Offshore Mechanics and Arctic Engineering: Volume 2.
In the present work, a nonstationary stochastic model, which is suitable for the analysis and simulation of multivariate time series of wind and wave data, is being presented and validated. This model belongs to the class of periodically correlated s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0414cc0d02e89856d76552d9a0822073
https://doi.org/10.1115/omae2005-67461
https://doi.org/10.1115/omae2005-67461
Autor:
Peter Schjølberg, Gerassimos A. Athanassoulis, Kostas Belibassakis, Christos N. Stefanakos, Stephen F. Barstow, Ulla Machado, Gerard Spaan, Gunnar Mørk, Lasse Lønseth, Theodore Gerostathis
Publikováno v:
Volume 3: Materials Technology; Ocean Engineering; Polar and Arctic Sciences and Technology; Workshops.
There has been a growing demand for reliable information on the wave conditions, in particular at coastal sites, as a result of increased utilisation of the coastal zone to a multitude of activities including various shoreline developments related to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c61a53424fd1059a3e524909813ef215
https://doi.org/10.1115/omae2003-37297
https://doi.org/10.1115/omae2003-37297
Autor:
Harald E. Krogstad, Valentine Rozhtov, Gerassimos A. Athanassoulis, Alexander V. Boukhanovsky, Kirill Sas’kov, Leonid J. Lopatoukhin, Alexander B. Degtyarev, Christos N. Stefanakos
Publikováno v:
21st International Conference on Offshore Mechanics and Arctic Engineering, Volume 2.
Based on hindcast Barents Sea wave fields, an approach to a directional spectral wave climate description is proposed. A set of classes of climatic wave spectra are identified and the probability of occurrence of spectra in each class is determined.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85173506fffcc127f3689c0c4e65c90f
https://doi.org/10.1115/omae2002-28397
https://doi.org/10.1115/omae2002-28397
Autor:
Christos N. Stefanakos1,2, Gerassimos A. Athanassoulis1
Publikováno v:
Environmetrics. Feb2006, Vol. 17 Issue 1, p25-46. 0p.