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 Ying Song,Luwen Zhang,Shaofan Li,et al.A Multi-Yield-Surface Plasticity State-Based Peridynamics Model and its Applications to Simulations of Ice-Structure Interactions[J].Journal of Marine Science and Application,2023,(3):395-410.[doi:10.1007/s11804-023-00344-8]
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A Multi-Yield-Surface Plasticity State-Based Peridynamics Model and its Applications to Simulations of Ice-Structure Interactions


A Multi-Yield-Surface Plasticity State-Based Peridynamics Model and its Applications to Simulations of Ice-Structure Interactions
Ying Song1 Luwen Zhang2 Shaofan Li2 Yunbo Li1
Ying Song1 Luwen Zhang2 Shaofan Li2 Yunbo Li1
1. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;
2. Department of Civil and Environmental Engineering, University of California, Berkeley, CA 94720, USA
Ice loadsMulti-yield-surfaceConstitutive modelPeridynamicsIce-structure interaction
Due to complex mesoscopic and the distinct macroscopic evolution characteristics of ice, especially for its brittle-to-ductile transition in dynamic response, it is still a challenging task to build an accurate ice constitutive model to predict ice loads during ship-ice collision. To address this, we incorporate the conventional multi-yield-surface plasticity model with the state-based peridynamics to simulate the stress and crack formation of ice under impact. Additionally, we take into account of the effects of inhomogeneous temperature distribution, strain rate, and pressure sensitivity. By doing so, we can successfully predict material failure of isotropic freshwater ice,iceberg ice, and columnar saline ice. Particularly, the proposed ice constitutive model is validated through several benchmark tests, and proved its applicability to model ice fragmentation under impacts, including drop tower tests and ballistic problems. Our results show that the proposed approach provides good computational performance to simulate ship-ice collision.


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Received date:2022-8-12;Accepted date:2022-11-16。
Corresponding author:Shaofan Li,E-mail:shaofan@berkeley.edu
Last Update: 2023-10-10