Toggle Main Menu Toggle Search

Open Access padlockePrints

Bottom structural response prediction for ship-poweredgrounding over rock-type seabed obstructions

Lookup NU author(s): Professor Zhiqiang Hu



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


This paper presents a simplified analytical method for predicting the resistance of shipbottom structures when a ship runs aground over rock-type seabed obstructions. Duringthe powered grounding scenario, the structural damage caused by sharp seabed obstructionsmay lead to earlier penetration and serious consequences, such as compartmentflooding, oil leakage and environmental pollution. Therefore, it is of great importance torapidly and accurately analyse the response of a ship's bottom structure during poweredgrounding scenarios. A new simplified kinematically admissible analytical model is built tocapture the dominant failure modes of the bottom transverse floor, which include plasticbending and membrane stretching, and the analytical expression of the resistance of thebottom floor is derived from a plastic mechanism analysis. The failure mechanisms of thebottom plating are also analyzed to provide insight into the main deformation mechanismswith reasonable predictive accuracy. The analytical prediction method is verified bynumerical simulation using the code LS-DYNA. The simulation cases cover a wide range ofindentations and semi-apex angles of the cone-shaped rocks. The results agree well,proving that the proposed analytical method can be used to predict the ship bottomstructure crashworthiness during the structural design phase.

Publication metadata

Author(s): Sun B, Hu Z, Wang J

Publication type: Article

Publication status: Published

Journal: Marine Structures

Year: 2017

Volume: 2017

Issue: 54

Pages: 127-143

Print publication date: 01/07/2017

Online publication date: 25/04/2017

Acceptance date: 14/04/2017

Date deposited: 25/04/2017

ISSN (print): 0591-8339

ISSN (electronic): 1873-4170

Publisher: Elsevier Ltd


DOI: 10.1016/j.marstruc.2017.04.002


Altmetrics provided by Altmetric


Funder referenceFunder name