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LIU Keqin, LI Tianyun, ZHU Xiang, HUANG Xichun. The Reliability Analysis of an Underwater Vehicle Model Based on Natural Frequency[J]. Chinese Journal of Ship Research, 2015, 10(1): 103-108. DOI: 10.3969/j.issn.1673-3185.2015.01.015
Citation: LIU Keqin, LI Tianyun, ZHU Xiang, HUANG Xichun. The Reliability Analysis of an Underwater Vehicle Model Based on Natural Frequency[J]. Chinese Journal of Ship Research, 2015, 10(1): 103-108. DOI: 10.3969/j.issn.1673-3185.2015.01.015
shu

The Reliability Analysis of an Underwater Vehicle Model Based on Natural Frequency

  • 1 School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

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  • Author Bio:

    LIU Keqin: LI Tianyun

  • Corresponding author:

    李天匀

  • Received Date: August 06, 2014
  • Revised Date: February 01, 2015
© 2015 The Authors. Published by Editorial Office of Chinese Journal of Ship Research. Creative Commons License
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Graphical Abstract
    • Abstract
  • Finite element simulation is widely used in the ship industry, but its reliability has yet to be investigated. In this paper, a method is proposed to judge the reliability of the underwater vehicle model according to whether the experiment results are within the predicted ranges obtained from the finite element model or not. Based on the model updating and validation methods, the response surface model that takes vibration frequency of the underwater vehicle as responses is established； then, the interval estimation and the probability density function of the first four mode frequencies are predicted via Monte Carlo simulation and kernel density estimation. The reliability of the underwater vehicle finite element is validated by comparing experiment results with the interval estimate.
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    • References (19)
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