Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Hyo-Jae Jo"'
Publikováno v:
한국해양공학회지, Vol 32, Iss 4, Pp 237-243 (2018)
Recently, it was predicted that the size of offshore markets will grow as gas prices edge up. This paper presents experimental results for using strings as a suppression device on a circular cylinder and discusses the various data. A test model was u
Externí odkaz:
https://doaj.org/article/ca5ceadeceee440a97de1e4102a1c3aa
Publikováno v:
한국해양공학회지, Vol 32, Iss 3, Pp 202-207 (2018)
This paper presents the efficiency of a floating vertical axis wind turbine with variable-pitch. A model was designed to use the lift force and drag force for blades with various pitch angles. The blade's pitch angle is controlled by the stopper. To
Externí odkaz:
https://doaj.org/article/a19ca2b961674a8d9feb293e2908c039
Autor:
Min Jun Lee, Hyo Jae Jo, Sung Wook Lee, Jea Hyuk Hwang, Jea Heui Kim, Young Kyu Kim, Dong Il Baek
Publikováno v:
한국해양공학회지, Vol 34, Iss 5, Pp 285-293 (2020)
This study evaluated the Hook-up installation of an offshore site construction process, which is the final step in an offshore site installation process. During Hook-up installation, the offshore structure can have a detrimental effect on the work st
Externí odkaz:
https://doaj.org/article/5a438a71cb3541eb8ab13c667de2808a
Autor:
Jae Hwan Lim, Hyo Jae Jo
Publikováno v:
한국해양공학회지, Vol 34, Iss 3, Pp 167-179 (2020)
Recently, the increasing importance of artificial intelligence (AI) technology has led to its increased use in various fields in the shipbuilding and marine industries. For example, typical scenarios for AI include production management, analyses of
Externí odkaz:
https://doaj.org/article/d742745cacf04196bdb276207c8281ad
Publikováno v:
Brodogradnja, Vol 69, Iss 1, Pp 15-38 (2018)
To investigate the wave kinematics under the rogue wave crest, a series of experiments were performed in 2-D wave tank with the application of PIV technique to measure the velocities under the free surface. Three different prediction methods of linea
Externí odkaz:
https://doaj.org/article/82ed16658f694967baee36c63fa5042d
Publikováno v:
Journal of Advanced Marine Engineering and Technology. 44:467-474
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521b9a9fc5072e6b10fb030a9220396e
https://doi.org/10.5916/jamet.2020.44.6.467
https://doi.org/10.5916/jamet.2020.44.6.467
Autor:
Hyo Jae Jo, Jae Hwan Lim
Publikováno v:
한국해양공학회지, Vol 34, Iss 3, Pp 167-179 (2020)
Recently, the increasing importance of artificial intelligence (AI) technology has led to its increased use in various fields in the shipbuilding and marine industries. For example, typical scenarios for AI include production management, analyses of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6288592fcb54284e33f1c6bb3c65331
https://doaj.org/article/d742745cacf04196bdb276207c8281ad
https://doaj.org/article/d742745cacf04196bdb276207c8281ad
Publikováno v:
Ships and Offshore Structures. 16:595-607
Hydrodynamic coefficients of subsea manifolds are significant parameters in predicting dynamic responses during deep-water installation. To calculate these coefficients, a series of model tests of ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17db9f7c78e83385e1f173affb8871ac
https://doi.org/10.1080/17445302.2020.1759492
https://doi.org/10.1080/17445302.2020.1759492
Publikováno v:
Petroleum Science. 17:1119-1134
This paper aims at finding a proper way to estimate sloshing severity. First, the concept of sloshing severity RAO (SSR) is introduced, and the wave elevation on the liquid free surface is chosen as an initial index for the rough prediction of sloshi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4808d4208cf22869b2421a164f35155c
https://doi.org/10.1007/s12182-020-00453-x
https://doi.org/10.1007/s12182-020-00453-x
Publikováno v:
Journal of the Korean Society of Marine Engineering. 43:522-527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5db1636de3a4cebbbaf0a3870dc6e1f
https://doi.org/10.5916/jkosme.2019.43.7.522
https://doi.org/10.5916/jkosme.2019.43.7.522