Study on Comprehensive Optimization Design of UUV Ringstiffened Cylindrical Shell Article Swipe

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YOU? · · 2018 · Open Access · · DOI: https://doi.org/10.1088/1755-1315/170/4/042107

The comprehensive optimization design of UUV structure is of great significance to improve the overall performance of the vehicle. In this paper, the mathematical model of the optimization problem of the ring-stiffened cylindrical shell is established under the constraints of the stability and strength, and the multi-objective optimization is carried out with the multi-objective genetic algorithm (MOGA). According to the Pareto solution, the MADM is studied by using the ranking method of TOPSIS, and then the comprehensive ranking of the Pareto optimal solution is obtained. The method of this paper has important engineering guidance for the optimization design of shell structure and the similar engineering practice.

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Mechanical Engineering

Artificial Intelligence

Machine Learning

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TOPSIS Shell (structure) Multi-objective optimization Ranking (information retrieval) Pareto principle Stability (learning theory) Genetic algorithm Mathematical optimization Engineering Optimization problem Computer science Mathematics Operations research Mechanical engineering Artificial intelligence Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1088/1755-1315/170/4/042107
PDF: https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042107/pdf
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References: 2
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OpenAlex ID: https://openalex.org/W2884667544

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DOI: https://doi.org/10.1088/1755-1315/170/4/042107

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Title: Study on Comprehensive Optimization Design of UUV Ringstiffened Cylindrical Shell

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Type: article

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Language: en

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Publication year: 2018

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Publication date: 2018-07-01

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Authors: Hefei Tian, Xiaodi Su, Jie Li

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Landing page: https://doi.org/10.1088/1755-1315/170/4/042107

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Concepts: TOPSIS, Shell (structure), Multi-objective optimization, Ranking (information retrieval), Pareto principle, Stability (learning theory), Genetic algorithm, Mathematical optimization, Engineering, Optimization problem, Computer science, Mathematics, Operations research, Mechanical engineering, Artificial intelligence, Machine learning

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References (count): 2

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