Journal
OCEAN ENGINEERING
Volume 239, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2021.109850
Keywords
AUV; Carbon fiber composite hull; Finite element analysis; Response surface model; Box-Behnken
Funding
- National Key Research and Development Program of China [2016YFC0301400]
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This study investigates the strength and stability of a carbon fiber composite cylindrical hull with strengthening ribs for an AUV using FEA and RSM. Critical design parameters are determined based on empirical formulas and test results, with parameter sensitivity analysis and response surface optimization conducted. A response surface quadratic model is established to evaluate the accuracy and determine final parameters for hull strength and stability, which is verified through tests and engineering applications.
This paper studies the strength and stability of the carbon fiber composite cylindrical hull with strengthening ribs for an autonomous underwater vehicle (AUV) based on finite element analysis (FEA) and response surface method (RSM). According to empirical formulas and test results, the value ranges of critical design parameters are preliminarily determined. In ANSYS Workbench, finite element modeling and numerical calculation of composite hulls under different design parameters are made using a tetrahedral mesh Patch Independent Algorithm (PIA). Parameter's sensitivity analysis is finished, and the response surface optimization is carried out using the Screening and Multi-objective genetic algorithm (MOGA). In Design-Expert, the Box-Behnken method is used to design a four-factor three-level experiment, and response surface analysis and parameter optimization are carried out. The sample data is obtained from numerical calculation. Finally, a response surface quadratic model between input parameters and output parameters is established. The response surface established by the above two methods and the optimization results is compared. The accuracy of the response surface quadratic model is evaluated, and the error is within 4%. The final parameters of the hull are determined, and the strength and stability are detected. Tests and engineering applications verify the reliability of this method.
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