지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.2
- 수록면
- 26 - 36 (11page)
이용수
초록· 키워드
오류제보하기
An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures. The purpose of this study was to provide information about the return wave, wind, and current values for the Barents Sea using extreme value analysis. Hindcast datasets of the Global Reanalysis of Ocean Waves 2012 (GROW2012) for a waves, winds and currents were obtained from the Oceanweather Inc. The Gumbel distribution, 2 and 3 parameters Weibull distributions and log-normal distribution were used for the extreme value analysis. The least square method was used to estimate the parameters for the extreme value distribution. The return values, including the significant wave height, spectral peak wave period, wind speed and current speed at surface, were calculated and it will be utilized to design offshore structures to be operated in the Barents Sea.
목차
ABSTRACT
1. Introduction
2. Metocean Data Collection and Analysis
3. Extreme Value Analysis
4. Conclusion
References
참고문헌 (23)
참고문헌 신청
API (American Petroleum Institute). (2005). Design and Analysis of Station keeping Systems for Floating Structures. API RP-2SK 3rd Edition.
Bird, K.J., Charpentier, R.R., Gautier, D.L., Houseknecht, D.W., Klett, T.R., Pitman, J.K., ... Wandrey, C.R. (2008). Circum- Arctic Resource Appraisal: Estimates of Undiscovered Oil and Gas North of the Arctic Circle (No. 2008-3049). US Geological Survey. https://doi.org/10.3133/fs20083049
BV (Bureau Veritas). (2015). Classification of Mooring Systems for Permanent and Mobile Offshore Units. BV Rule Note NR 493 DT R03 E.
Choi, Y.H. (2016). Extreme Value Analysis of Environmental Data. Proceedings of the Fall Conference of the Korean Society of Ocean Engineers, Busan, Korea, 181-186.
Choi, Y.H,, Yeon, S.M., Kim, H., & Lee, D. (2019). Extreme Value Analysis of Statistically Independent Stochastic Variables. Journal of Ocean Engineering and Technology, 33(3), 222-228. https://doi.org/10.26748/KSOE.2018.093
Bird, K.J., Charpentier, R.R., Gautier, D.L., Houseknecht, D.W., Klett, T.R., Pitman, J.K., ... Wandrey, C.R. (2008). Circum- Arctic Resource Appraisal: Estimates of Undiscovered Oil and Gas North of the Arctic Circle (No. 2008-3049). US Geological Survey. https://doi.org/10.3133/fs20083049
BV (Bureau Veritas). (2015). Classification of Mooring Systems for Permanent and Mobile Offshore Units. BV Rule Note NR 493 DT R03 E.
Choi, Y.H. (2016). Extreme Value Analysis of Environmental Data. Proceedings of the Fall Conference of the Korean Society of Ocean Engineers, Busan, Korea, 181-186.
Choi, Y.H,, Yeon, S.M., Kim, H., & Lee, D. (2019). Extreme Value Analysis of Statistically Independent Stochastic Variables. Journal of Ocean Engineering and Technology, 33(3), 222-228. https://doi.org/10.26748/KSOE.2018.093
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UCI(KEPA) : I410-ECN-0101-2020-454-000419276