Sequential Quadratic Programming Method of Cabin Optimization

The basic principle of sequential quadratic programming method and the concrete implementation steps in MATLAB are expounded. Sequential quadratic programming method is used for the cabin structure optimization. In the optimization, the minimal sizes of components stipulated by the rules are used as...

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Vydáno v:Applied Mechanics and Materials Ročník 711; číslo Mechanical Engineering, Materials Science and Civil Engineering; s. 96 - 99
Hlavní autoři: Li, Ming Ming, Song, Fang Zhen, Liu, Han, Song, Bo
Médium: Journal Article
Jazyk:angličtina
Vydáno: Zurich Trans Tech Publications Ltd 01.12.2014
Témata:
Cabins
Equivalence
Mathematical analysis
Matlab
Optimization
Quadratic programming
Shear stress
Ships
Weight reduction
Frequency
Sequential Quadratic Programming Method
Optimization
Stress
ISBN:9783038353720, 3038353728
ISSN:1660-9336, 1662-7482, 1662-7482
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Shrnutí:The basic principle of sequential quadratic programming method and the concrete implementation steps in MATLAB are expounded. Sequential quadratic programming method is used for the cabin structure optimization. In the optimization, the minimal sizes of components stipulated by the rules are used as size constraints, the frequencies required by the rules are used as performance constraints and the minimum lightness of the ship are used as objective. Finite element analysis of the ship structure optimized is done and the results obtained show that both the maximum equivalent stress and the maximum shear stress meet the requirements and first three order frequencies of the cabin structure are also far away from the working frequency of propeller and host. The optimization reduces the weight of the cabin under the condition of meet the static characteristic and dynamic characteristic.
Bibliografie:Selected, peer reviewed papers from the 2014 3rd International Conference on Mechanical Engineering, Materials Science and Civil Engineering (ICMEMSCE 2014), October 25-26, 2014, Phuket, Thailand
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ISBN:9783038353720
3038353728
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.711.96