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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| Published in: | Applied Mechanics and Materials Vol. 711; no. Mechanical Engineering, Materials Science and Civil Engineering; pp. 96 - 99 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Zurich
Trans Tech Publications Ltd
01.12.2014
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| Subjects: | |
| ISBN: | 9783038353720, 3038353728 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | 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 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISBN: | 9783038353720 3038353728 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.711.96 |

