Numerical modelling techniques for predicting the hull girder ultimate strength under cyclic bending moments based on model tests

Ships voyaging in severe sea conditions are subjected to cyclic extreme bending moments arising from wave loads, which may result in the ultimate strength reduction. The test approach with continuous cyclic bending moment loading and replaceable test sample, as well as the numerical method with reasonable modelling configurations, was addressed for predicting the hull girder ultimate strength. Two four-point bending experiments, including one-time and cyclic bending moment loads with three and four cycles before and after structural collapse, were designed to investigate the box girder ultimate strength. The continuous uniaxial tension compression of the loading actuator could be transformed into continuous cyclic hogging-sagging bending moment, which could avoid the dangerous and difficult turning over of test samples. Furthermore, eleven respective nonlinear finite element analyses were adopted to conduct parametric studies on the progressive collapse behaviours of small-scale box girder and full-scale hull girder, which included geometrical range, solution type, element type, loading time and material model. After comparison, the reliable finite element modelling techniques using the dynamic explicit method were identified to account for transient effects and avoid convergence issues in the iterative procedure, which could reach the balance between acceptable ultimate strength results and computation resources under extreme wave bending moments.

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Publication Details

Journal
Journal of Marine Engineering & Technology
Published
2026-09-18
DOI
https://doi.org/10.1080/20464177.2026.2733453
Primary Topic
Structural Integrity and Reliability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Numerical modelling techniques for predicting the hull girder ultimate strength under cyclic bending moments based on model tests

Qing Chao Liu, Kang Hu, Zhao Jun Song, Chu Xi Chen et al.
Journal of Marine Engineering & Technology
Structural Integrity and Reliability Analysis
article

Numerical modelling techniques for predicting the hull girder ultimate strength under cyclic bending moments based on model tests

Qing Chao Liu, Kang Hu, Zhao Jun Song, Chu Xi Chen, Jing Xia Yue
article en

Abstract

Ships voyaging in severe sea conditions are subjected to cyclic extreme bending moments arising from wave loads, which may result in the ultimate strength reduction. The test approach with continuous cyclic bending moment loading and replaceable test sample, as well as the numerical method with reasonable modelling configurations, was addressed for predicting the hull girder ultimate strength. Two four-point bending experiments, including one-time and cyclic bending moment loads with three and four cycles before and after structural collapse, were designed to investigate the box girder ultimate strength. The continuous uniaxial tension compression of the loading actuator could be transformed into continuous cyclic hogging-sagging bending moment, which could avoid the dangerous and difficult turning over of test samples. Furthermore, eleven respective nonlinear finite element analyses were adopted to conduct parametric studies on the progressive collapse behaviours of small-scale box girder and full-scale hull girder, which included geometrical range, solution type, element type, loading time and material model. After comparison, the reliable finite element modelling techniques using the dynamic explicit method were identified to account for transient effects and avoid convergence issues in the iterative procedure, which could reach the balance between acceptable ultimate strength results and computation resources under extreme wave bending moments.

Journal of Marine Engineering & Technology
Yangtze University (CN), Wuhan University of Technology (CN), Jiangnan Industry Group (China) (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 20%
Structural Integrity and Reliability Analysis
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