Determination of sea ice bending strength calculation parameters based onneural network and numerical study on ice-breaking with a cone

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Journal of Vibration and Shock ›› 2025, Vol. 44 ›› Issue (1) : 41-50.

VIBRATION THEORY AND INTERDISCIPLINARY RESEARCH

Determination of sea ice bending strength calculation parameters based onneural network and numerical study on ice-breaking with a cone

ZHU Shengtao1, ZOU Lu*1,2, ZOU Zaojian1,2, ZOU Ming1

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Abstract

To establish the relationship between physical parameters of cohesive elements and bending strength of the sea ice, a regression model based on neural networks is proposed to determine the calculation parameters for predicting the bending strength of sea ice. Firstly, the numerical simulations of three-point bending test of sea ice are conducted applying finite element method and cohesive element method, and the effectiveness of the method is verified. Then, five influencing parameters are selected and 427 samples are generated using the Latin hypercube sampling algorithm. The corresponding bending strengths of sea ice in these samples are obtained through numerical simulations and the database of neural networks is established. On this basis, the multilayer perceptron neural network is used to train the prediction results for all samples, and a regression model for predicting the bending strength of sea ice is obtained. Consequently, a numerical model of level ice with the bending strength similar to that of the sea-ice tests is constructed. Moreover, the impacts of buoyancy and drag force by the fluid on the broken ice are considered in the numerical model as well, and the interactions between the cone and the level ice are simulated and analyzed considering the impacts by different parameters. The results indicate that the mean value, standard deviation, and peak values of the longitudinal ice force acting on the cone tend to be larger with the increase of collision velocity, cone waterplane diameter, and cone angle.

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finite element method / cohesive element method / bending strength of sea ice / neural networks / structure-level ice interaction

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ZHU Shengtao1, ZOU Lu1, 2, ZOU Zaojian1, 2, ZOU Ming1. Determination of sea ice bending strength calculation parameters based onneural network and numerical study on ice-breaking with a cone[J]. Journal of Vibration and Shock, 2025, 44(1): 41-50

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