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9 September 2019 An Intelligent Calculating Method for Stability Parameters of Container Ship by Loading Process Data
Jing Chen, Congjiao Wang, Hejun Geng, Yuli Chen, Huafeng Wu, Shuang Li
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Abstract

Chen, J.; Wang, C.-J.; Geng, H.-J; Chen, Y.-L.; Wu, H.-F., and Li, S., 2019. An intelligent calculating method for stability parameters of container ship by loading process data. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 738-744. Coconut Creek (Florida), ISSN 0749-0208. Journal of Coastal Research, Special Issue No. 94, pp. 177–180. Coconut Creek (Florida), ISSN 0749-0208.

Due to various errors in most related variables, static stability coefficient of ship cannot be obtained accurately by direct calculation, so more precise information is needed to support stability calculation for higher quality result. During loading and unloading process of container ship in port of still water, time series curve of damping roll caused by hoisting containers can provide precise constraints for static stability calculation. In this paper, data correction method based on the least square method is introduced into ship stability calculation, and a data correction algorithm specially used for static stability calculation is put forward, named ‘Rolling Curve Rule'. Data simulation and real ship validation show that Rolling Curve Rule is pretty scientific and can be popularized.

©Coastal Education and Research Foundation, Inc. 2019
Jing Chen, Congjiao Wang, Hejun Geng, Yuli Chen, Huafeng Wu, and Shuang Li "An Intelligent Calculating Method for Stability Parameters of Container Ship by Loading Process Data," Journal of Coastal Research 94(sp1), 177-180, (9 September 2019). https://doi.org/10.2112/SI94-037.1
Received: 2 February 2019; Accepted: 8 April 2019; Published: 9 September 2019
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KEYWORDS
data correction
genetic algorithm
rolling curve
Ship stability
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