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Lookup NU author(s): Professor Zhiqiang Hu
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2019, The Author(s). NVA mild steel is a commonly used material in the shipbuilding industry. An accurate model for description of this material’s ductile fracture behaviour in numerical simulation is still a challenging task. In this paper, a new method for predicting the critical void volume fraction fc in the Guson-Tvergaard-Needleman (GTN) model is introduced to describe the ductile fracture behaviour of NVA shipbuilding mild steel during ship collision and grounding scenarios. Most of the previous methods for determination of the parameter fc use a converse method, which determines the values of the parameters through comparisons between experimental results and numerical simulation results but with high uncertainty. A new method is proposed based on the Hill, Bressan, and Williams hypothesis, which reduces the uncertainty to a satisfying extent. To accurately describe the stress-strain relationship of materials before and after necking, a combination of the Voce and Swift models is used to describe the material properties of NVA mild steel. A user-defined material subroutine has been developed to enable the application of the new parameter determination method and its implementation in the finite element software LS-DYNA. It is observed that the model can accurately describe structural damage by comparing the numerical simulation results with those of experiments; thus, the results demonstrate the model’s capacity for structural response prediction in ship collision and grounding scenario simulations
Author(s): Song Z, Hu Z, Ringsberg JW
Publication type: Article
Publication status: Published
Journal: Journal of Marine Science and Application
Year: 2019
Volume: 18
Pages: 444-456
Print publication date: 01/12/2019
Online publication date: 15/10/2019
Acceptance date: 02/01/2019
Date deposited: 19/11/2019
ISSN (print): 1671-9433
ISSN (electronic): 1993-5048
Publisher: Harbin Engineering University
URL: https://doi.org/10.1007/s11804-019-00117-2
DOI: 10.1007/s11804-019-00117-2
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