Greedy-based approach for generating anisotropic random fiber distributions of unidirectional composites and transverse mechanical properties prediction

M Li, H Zhang, J Ma, S Li, W Zhu, Y Ke - Computational Materials Science, 2023 - Elsevier
A novel adaptive greedy-based generation (GBG) algorithm is proposed to generate 2D
random distribution of fibers for unidirectional composites. Inspired by greedy algorithm, the …

[HTML][HTML] Efficient generation of random fiber distribution by combining random sequential expansion and particle swarm optimization algorithms

HMS Hayder, H Afrasiab, M Gholami - Composites Part A: Applied Science …, 2023 - Elsevier
Representative volume elements (RVEs) with random fiber distribution are widely used in
micro-mechanics for determining the properties of unidirectional fiber-reinforced composites …

[HTML][HTML] A computationally efficient approach for generating RVEs of various inclusion/fibre shapes

R Nakka, D Harursampath, M Pathan… - Composite …, 2022 - Elsevier
A computationally efficient method for generating virtual periodic representative volume
element (RVE), capable of handling arbitrary inclusion shapes, is developed. A universal …

A new strategy for generating regional random fiber-reinforced polymer composite

Y Hou, K Zhang, Y Lu, A Noori - International Journal of Mechanical …, 2023 - Elsevier
This paper proposes a novel method of random fiber distribution inspired by the finite
element mesh technique. It solves the problem of fiber interference when generating the …

A fractal model of effective mechanical properties of porous composites

X Chao, W Tian, F Xu, D Shou - Composites Science and Technology, 2021 - Elsevier
In this work, a simple but effective fractal model is proposed to predict the mechanical
properties of complex porous composites. By extending the Mori-Tanaka and Double …

A versatile and highly efficient algorithm to generate representative microstructures for heterogeneous materials

C Cai, T Zhang, X Wang, W Yin, Z Xu, R Wang… - Composites Science and …, 2023 - Elsevier
In this study, a novel approach based on the maximum penetration-biased (MPB) algorithm
is proposed to rapidly generate representative volume elements (RVEs) for advanced …

Minimum potential method appropriate to generate 2D RVEs of composites with high fiber volume fraction

W Tian, L Xu, L Qi, X Chao - Composite Structures, 2023 - Elsevier
This work proposes a novel method, entitled minimum potential method, to generate
Representative Volume Elements (RVEs) of unidirectional fibers composites with high fiber …

Prediction of the effective viscoelastic properties of polymer-based microstructure with randomly-placed linear elastic inclusions using convolutional neural network

M Mohammadnejad, M Haghighi-Yazdi - Computational Materials Science, 2023 - Elsevier
This work proposes a prediction of the effective transverse relaxation modulus of a two-
phase material with randomly-placed linear elastic circular inclusions inside a linear …

Micromechanical characterization of Carbon/PEEK thermoplastic composite material in-situ consolidated by automated fiber placement: Stiffness prediction

E Pourahmadi, R Ganesan, F Shadmehri - Composites Science and …, 2024 - Elsevier
Abstract Despite manufacturing challenges, Automated Fiber Placement (AFP) offers a
viable alternative to conventional manufacturing methods, allowing for time and cost …

Unified periodic boundary condition for homogenizing the thermo-mechanical properties of composites

W Tian, L Qi - Applied Mathematical Modelling, 2023 - Elsevier
This work emphasizes on the Periodic Boundary Condition (PBC) utilized in the Finite
Element Homogenization (FEH) method to numerically determine the Thermo-mechanical …