Experimental study and numerical model adequacy assessment of hull structure dynamic response subject to underwater explosion

• Published in: Ships and offshore structures Vol. 15; no. 10; pp. 1023 - 1036
• Main Authors: Zhang, Wenqi, Yao, Xiongliang, Wang, Yinan, Wang, Zhikai
• Format: Journal Article
• Language: English
• Published: Cambridge Taylor & Francis 25.11.2020; Taylor & Francis Ltd
• Subjects: Adequacy; Data analysis; Data processing; Dynamic response; experimental study; Mathematical models; Model accuracy; model adequacy assessment; Neural networks; Numerical models; probabilistic neural network; Probability theory; Qualitative analysis; Statistical analysis; Underwater; Underwater explosion; Underwater explosions; Underwater structures; validation metric
• ISSN: 1744-5302; 1754-212X
• DOI: 10.1080/17445302.2019.1701273

The purpose of this study was to establish a model adequacy assessment method for dynamic response of hull structure subjected to underwater explosion. A numerical model is established and experiments are carried out to assess the shock response of the hull structure. Experiment data processing method suitable for this study is proposed. The numerical calculation results and the processed experimental data are first compared graphically to initially verify the accuracy of the numerical model. Subject matter expert score for qualitative analysis is obtained from the comparison of time series and the quantitative validation metric is calculated. Four validation metrics are introduced to represent the different time and frequency domain characteristics of the signals. Probabilistic neural network is used to establish the relationship between subject matter expert score and validation metric. The total probability formula is used to synthesize the overall model adequacy score of the model.