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A Correct Smoothed Particle Method to Model Structure-Ice Interaction

by Yang Liu1, Yue Qiao2, Tiange Li3

College of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, China.
China Ship Research and Development Academy, Beijing, 100101, China.
Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA

*Corresponding Author: Yang Liu. Email: email.

Computer Modeling in Engineering & Sciences 2019, 120(1), 177-201. https://doi.org/10.32604/cmes.2019.06338

Abstract

This paper studies the effect of ice resistance on the icebreaking capacity and speed of an icebreaking vessel. We combine an improved Correct Smoothed Particle Method (CSPM) with a material low-speed collision fracture model to numerically simulate the continuous icebreaking and rolling process of crushed. Using this model, we investigate the icebreaking resistance and immersion resistance during the icebreaking process, taking into account the fluid (water) as the elastic boundary support and the fluid-solid coupling interaction. We compare the icebreaking resistance and broken ice fracture shapes obtained by the numerical calculation with the theoretical analytical results, and thus validate the improved CSPM method. Further, we compare the immersion resistance results from our simulation against that from Puntigliano [Puntigliano, Hamburgische Schiffbau-Versuchsanstalt GmbH (1995)], and demonstrate that the proposed method can accurately predict ice resistance.

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Cite This Article

APA Style
Liu, Y., Qiao, Y., Li, T. (2019). A correct smoothed particle method to model structure-ice interaction. Computer Modeling in Engineering & Sciences, 120(1), 177-201. https://doi.org/10.32604/cmes.2019.06338
Vancouver Style
Liu Y, Qiao Y, Li T. A correct smoothed particle method to model structure-ice interaction. Comput Model Eng Sci. 2019;120(1):177-201 https://doi.org/10.32604/cmes.2019.06338
IEEE Style
Y. Liu, Y. Qiao, and T. Li, “A Correct Smoothed Particle Method to Model Structure-Ice Interaction,” Comput. Model. Eng. Sci., vol. 120, no. 1, pp. 177-201, 2019. https://doi.org/10.32604/cmes.2019.06338

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a 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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