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Strength prediction for bi-axial braided composites by a multi-scale modelling approach

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journal contribution
posted on 27.04.2016, 09:27 by Chen Wang, Yucheng Zhong, P.F. Bernad Adaikalaraj, Xianbai Ji, Anish RoyAnish Roy, Vadim SilberschmidtVadim Silberschmidt, Zhong Chen
Braided textile-reinforced composites have become increasingly attractive as protection materials thanks to their unique inter-weaving structures and excellent energy-absorption capacity. However, development of adequate models for simulation of failure processes in them remains a challenge. In this study, tensile strength and progressive damage behaviour of braided textile composites are predicted by a multi-scale modelling approach. First, a micro-scale model with hexagonal arrays of fibres was built to compute effective elastic constants and yarn strength under different loading conditions. Instead of using cited values, the input data for this micro-scale model were obtained experimentally. Subsequently, the results generated by this model were used as input for a meso-scale model. At meso-scale, Hashin’s 3D with Stassi’s failure criteria and a modified Murakami-type stiffness-degradation scheme was employed in a user-defined subroutine developed in the general-purpose finite-element software Abaqus/Standard. An overall stress–strain curve of a meso-scale representative unit cell was verified with the experimental data. Numerical studies show that bias yarns suffer continuous damage during an axial tension test. The magnitudes of ultimate strengths and Young’s moduli of the studied braided composites decreased with an increase in the braiding angle.


CW is grateful for the financial support by NTU through the PhD scholarship award. The authors are grateful for the technical support by Temasek Laboratory@NTU and Aerospace Lab in the School of MAE at NTU, Singapore.



  • Mechanical, Electrical and Manufacturing Engineering

Published in

Journal of Materials Science


1 - 17


WANG, C. ... et al., 2016. Strength prediction for bi-axial braided composites by a multi-scale modelling approach. Journal of Materials Science, 51 (12), pp. 6002–6018.


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AM (Accepted Manuscript)

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