Artificial intelligence in predicting mechanical properties of composite materials
The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …
materials across multiple engineering disciplines. Recently, there has been substantial …
A review on computational intelligence methods for modelling of light weight composite materials
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
[HTML][HTML] Machine learning and materials informatics approaches for predicting transverse mechanical properties of unidirectional CFRP composites with microvoids
The mechanical properties of composites are traditionally measured using numerical and
experimental approaches, which impede the innovation of materials due to the cost, time, or …
experimental approaches, which impede the innovation of materials due to the cost, time, or …
Mechanical properties prediction of composite laminate with FEA and machine learning coupled method
C Zhang, Y Li, B Jiang, R Wang, Y Liu, L Jia - Composite Structures, 2022 - Elsevier
In order to predict mechanical properties of composite laminate, a method coupling finite
element analysis (FEA) and machine learning is established to analyze three examples of …
element analysis (FEA) and machine learning is established to analyze three examples of …
[HTML][HTML] A deep learning convolutional neural network and multi-layer perceptron hybrid fusion model for predicting the mechanical properties of carbon fiber
Recently, deep learning methods have become one of the hottest topics in predicting
material properties, however, one bottleneck in current research is the simultaneous …
material properties, however, one bottleneck in current research is the simultaneous …
[HTML][HTML] Investigation of 3D printed lightweight hybrid composites via theoretical modeling and machine learning
Hybrid composites combine two or more different fillers to achieve multifunctional or
advanced material properties, such as lightweight and enhanced mechanical properties …
advanced material properties, such as lightweight and enhanced mechanical properties …
[PDF][PDF] A short introduction to basic aspects of continuum micromechanics
HJ Böhm - Cdl-fmd report, 1998 - ilsb.tuwien.ac.at
In the present report some basic issues of and some of the modeling strategies used for
studying static and quasistatic problems in continuum micromechanics of materials are …
studying static and quasistatic problems in continuum micromechanics of materials are …
Peridynamics-fueled convolutional neural network for predicting mechanical constitutive behaviors of fiber reinforced composites
B Yin, J Huang, W Sun - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
Despite advancements in predicting the constitutive relationships of composite materials,
characterizing the effects of microstructural randomness on their mechanical behaviors …
characterizing the effects of microstructural randomness on their mechanical behaviors …
[HTML][HTML] Convolutional neural network for predicting crack pattern and stress-crack width curve of air-void structure in 3D printed concrete
Extrusion-based 3D concrete printing (3DCP) results in deposited materials with complex
microstructures that have high porosity and distinct anisotropy. Due to the material …
microstructures that have high porosity and distinct anisotropy. Due to the material …
A review on machine learning implementation for predicting and optimizing the mechanical behaviour of laminated fiber-reinforced polymer composites
Abstract The utilization of Machine Learning (ML) techniques in the analysis of the
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …
mechanical behavior of fiber-reinforced polymers (FRP) has been increasingly applied in …