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.
이용수
초록· 키워드
오류제보하기
Extreme wind speed could be obtained by application of a Monte Carlo simulation, followed by formation of a representative standard typhoon. By applying this method, the data about severe typhoon happened early of 1900s, could be restored and added to RSMC data set. As estimating wind speed which has a million year of return period about the well-structured data set, probable maximum wind which could be applied to design important facilities such as a nuclear power plant. Furthermore, regarding to strength of typhoon getting stronger which replies on global warming, climate change was also applied with the status of increasing typhoon intensity. This research was applied to Mokpo for estimating probable maximum wind speed. The result from the given research method showed that it is weaker than 55m/s which is wind speed of probable maximum wind of super typhoon even though the central pressure intensity increases 30%.
목차
등록된 정보가 없습니다.
참고문헌 (24)
참고문헌 신청
Lee, Y. K. / 2007 / Expectation of extreme wind speed due to typhoon / Proceedings of the Wind Engineering Institute of Korea :1~7
Russell, L. R. / 1971 / Probability distributions for hurricane effects / J. of Waterways, Harbors and Coastal Engineering 97(1)
Batts, M. E. / 1980 / Hurricane wind speeds in the U.S / J. of Structural Engineering 106(10)
Vickery P. J. / 1995 / Wind field and filling models for hurricane wind-speed predictions / J. of Structural Engineering 121(11)
김석철 / 2005 / Monte Carlos 태풍 시물레이션과 CFD 모델을 이용한 울산지역 국지적 강풍 발생빈도 추정 / 한국풍공학회지 9(1):45~54
Russell, L. R. / 1971 / Probability distributions for hurricane effects / J. of Waterways, Harbors and Coastal Engineering 97(1)
Batts, M. E. / 1980 / Hurricane wind speeds in the U.S / J. of Structural Engineering 106(10)
Vickery P. J. / 1995 / Wind field and filling models for hurricane wind-speed predictions / J. of Structural Engineering 121(11)
김석철 / 2005 / Monte Carlos 태풍 시물레이션과 CFD 모델을 이용한 울산지역 국지적 강풍 발생빈도 추정 / 한국풍공학회지 9(1):45~54
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