The uncertainty quantification of ship shock environment  subjected to non-contact underwater explosion

LIANG Xiao; CHEN Jiangtao; WANG Ruili; HU Xingzhi

doi:10.19693/j.issn.1673-3185.01826

Volume 15 Issue 6

Dec. 2020

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Chinese Journal of Ship Research > 2020 > 15(6): 128-136. > DOI: 10.19693/j.issn.1673-3185.01826 CSTR: 32390.14.j.issn.1673-3185.01826

LIANG X, CHEN J T, WANG R L, et al. The uncertainty quantification of ship shock environment subjected to non-contact underwater explosion[J]. Chinese Journal of Ship Research, 2020, 15(6): 128–136. DOI: 10.19693/j.issn.1673-3185.01826

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The uncertainty quantification of ship shock environment subjected to non-contact underwater explosion

1.
School of Mathematics, Shandong University of Science and Technology, Qingdao 266590, China
2.
China Aerodynamics Research and Development Centre, Mianyang 621000, China
3.
Institute of Applied Physics and Computational Mathematics, Beijing 100094, China

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Received Date: November 15, 2019
Revised Date: February 25, 2020
Available Online: December 07, 2020

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.

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Abstract

Objectives To identify and quantify uncertain factors in the modeling and simulation of ships suffering a non-contact underwater explosion, the influence of high dimensional random variables on the output of the system is studied.
Methods Following statistical characteristics and engineering knowledge, the normal distribution log is used to describe uncertain physical quantity, and Beta distribution is utilized to depict uncertain empirical parameters. Rosenblatt transformation is explored to transform these correlated random variables into Gaussian variables, satisfying identical and independent distribution. There are a variety of uncertain factors due to the complexity of the model. The computational efficiency is greatly improved when homogeneous Wiener chaos with quadratic adaptive basis function is used to tackle improbability propagation of these input uncertainties. Concerns over a spring device in the deck, expectation, standard deviation, confidence interval, and the probability density function of the quantity of impulsive is presented via the proposed method.
Results Oscillation of the ship always exists after the arrival of a shock wave. The oscillation of the standard deviation is much more forceful than the mean value.
Conclusions The result can be used to predict the impact of a detonation and provide guidance for the reinforcement ability of the ship.

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The uncertainty quantification of ship shock environment subjected to non-contact underwater explosion

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