[HTML][HTML] Applications of artificial intelligence/machine learning to high-performance composites

Y Wang, K Wang, C Zhang - Composites Part B: Engineering, 2024 - Elsevier
With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm
shift in engineering fields including material science. The integration of AI and machine …

Machine learning-based morphological and mechanical prediction of kirigami-inspired active composites

K Tang, Y Xiang, J Tian, J Hou, X Chen, X Wang… - International Journal of …, 2024 - Elsevier
Kirigami-inspired designs hold great potential for the development of functional materials
and devices, but predicting the morphological configuration of these structures under …

[HTML][HTML] A critical review on machine learning applications in fiber composites and nanocomposites: Towards a control loop in the chain of processes in industries

A Gomez-Flores, H Cho, G Hong, H Nam, H Kim… - Materials & Design, 2024 - Elsevier
Fiber composites must be evaluated to achieve correct use in various fields. Their
properties, performance, condition, and integrity can be quickly predicted and optimized by …

Micromechanics-informed parametric deep material network for physics behavior prediction of heterogeneous materials with a varying morphology

T Li - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Abstract Deep Material Network (DMN) has recently emerged as a data-driven surrogate
model for heterogeneous materials. Given a particular microstructural morphology, the …

[HTML][HTML] Fibre orientation distribution function mapping for short fibre polymer composite components from low resolution/large volume X-ray computed tomography

RM Auenhammer, A Prajapati, K Kalasho… - Composites Part B …, 2024 - Elsevier
Short glass fibre injection moulded composites, used in interior and exterior automotive
parts, are exposed to complex stress states, for example during a crash. As the fibre scale …

Effects of process parameters on mechanical properties and interface of 3D printed bamboo‐inspired CCFR‐PLA/TPU composites

W Ye, H Dou, D Zhang, F Yang, Y Cheng… - Polymer …, 2024 - Wiley Online Library
Inspired by the exceptional strength and toughness of fresh bamboo, a low‐cost method for
preparing continuous fiber‐reinforced multi‐matrix composites based on 3D printing was …

[HTML][HTML] N-adaptive ritz method: A neural network enriched partition of unity for boundary value problems

J Baek, Y Wang, JS Chen - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Conventional finite element methods are known to be tedious in adaptive refinements due to
their conformal regularity requirements. Further, the enrichment functions for adaptive …

[HTML][HTML] Data-driven modeling of an unsaturated bentonite buffer model test under high temperatures using an enhanced axisymmetric reproducing kernel particle …

J Baek, Y Wang, X He, Y Lu, JS McCartney… - Computers and …, 2024 - Elsevier
In deep geological repositories for high level nuclear waste with close canister spacings,
bentonite buffers can experience temperatures higher than 100° C. In this range of extreme …

Dimensional reduction technique for the prediction of global and local responses of unidirectional composite with matrix nonlinearity and varying fiber packing …

A Jamnongpipatkul, F Naets, FA Gilabert - Engineering with Computers, 2024 - Springer
The problem associated with the computational homogenization of composite materials
often results in expensive computational cost that prevents engineers from comprehensive …

A fast and effective stiffness prediction method for short fiber reinforced composites with skin‐core structure

R Zhao, Z Wang, X Li, H Gao, T Wu, Y Li… - Polymer …, 2024 - Wiley Online Library
The extrusion procedure used to manufacture Short Fiber Reinforced Composites (SFRCs)
results in significant anisotropy in the components due to the skin‐core structure. While there …