Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yuanhua LIANG"'
Publikováno v:
Progress in Fishery Sciences, Vol 45, Iss 4, Pp 223-236 (2024)
With the increase in global population, the demand for aquatic products rises annually. As a sustainable industry, aquaculture offers a promising solution to address the growing demand for fish products. Meanwhile, intensifying and expanding sustaina
Externí odkaz:
https://doaj.org/article/43404f12c0194c5797415a6b6eafa09b
Publikováno v:
Journal of Marine Science and Engineering, Vol 11, Iss 6, p 1214 (2023)
Different buckling failure modes of stiffened panels will result in differences in ultimate strengths. In this study, the benchmark model of the bottom of bulk carrier with appropriate initial imperfections, boundary conditions and mesh size are sele
Externí odkaz:
https://doaj.org/article/a3163230742346dfb4cf6faaccd655c6
Publikováno v:
Ships & Offshore Structures; 2024, Vol. 19 Issue 1, p76-90, 15p
Publikováno v:
Journal of Marine Science and Engineering; Volume 11; Issue 6; Pages: 1214
Different buckling failure modes of stiffened panels will result in differences in ultimate strengths. In this study, the benchmark model of the bottom of bulk carrier with appropriate initial imperfections, boundary conditions and mesh size are sele
Publikováno v:
Volume 8A: Ocean Engineering.
Owing to the flexibility of ocean structures with large dimension, the hydroelastic theory is more applicable than traditional method of treating the floating structure as a rigid body. To study the factors that influence the hydroelastic responses,
Autor:
Yuanhua Liang, Bingcheng Yuan
Publikováno v:
2010 2nd International Conference on Future Computer and Communication.
The modeling of fault diagnosis system is a difficult issue in the fuzzy Petri nets (FPN) fault diagnosis system. The method for generating FPN fault diagnosis model is proposed by using rough set theory. Firstly, the condition attribute and attribut
Autor:
Yuanhua Liang, Bing-cheng Yuan
Publikováno v:
2009 International Conference on Information Engineering and Computer Science.
All parameters of fuzzy Petri nets are hard to be determined and learning mechanism is lacking. In this paper, a learning algorithm with fuzzy Petri nets model based on taboo search is proposed to solve the problem. The paper gives two basic kinds of
Publikováno v:
2008 IEEE Vehicle Power & Propulsion Conference; 2008, p1-3, 3p