Prediction of stiffness degradation based on machine learning: Axial elastic modulus of [0 m /90 n ] s composite laminates

2021 ◽  
pp. 109186
Author(s):  
Mingqing Yuan ◽  
Haitao Zhao ◽  
Yuehan Xie ◽  
Hantao Ren ◽  
Li Tian ◽  
...  
Keyword(s):  
Machine Learning ◽  
Elastic Modulus ◽  
Composite Laminates ◽  
Stiffness Degradation

Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates

2020 ◽  
Vol 16 (4) ◽  
pp. 2315-2324 ◽  
Author(s):  
Chathura Wanigasekara ◽  
Ebrahim Oromiehie ◽  
Akshya Swain ◽  
B. Gangadhara Prusty ◽  
Sing Kiong Nguang
Keyword(s):  
Machine Learning ◽  
Predictive Model ◽  
Composite Laminates ◽  
Unidirectional Composite

Prediction of stiffness degradation in hygrothermal aged [θm/90n]S composite laminates with transverse cracking

2008 ◽  
Vol 199 (1-3) ◽  
pp. 199-205 ◽  
Author(s):  
E.A. Adda-bedia ◽  
M. Bouazza ◽  
A. Tounsi ◽  
A. Benzair ◽  
M. Maachou
Keyword(s):  
Composite Laminates ◽  
Stiffness Degradation ◽  
Transverse Cracking

NUMERICAL PREDICTION OF STIFFNESS DEGRADATION OF THIN-PLY CFRP LAMINATES UNDER FATIGUE LOADING

2021 ◽  
Author(s):  
RYOMA AOKI ◽  
RYO HIGUCHI ◽  
TOMOHIRO YOKOZEKI
Keyword(s):  
Composite Laminates ◽  
Damage Mechanics ◽  
Crack Density ◽  
Continuum Damage Mechanics ◽  
Fatigue Loading ◽  
Stiffness Degradation ◽  
Cfrp Laminates ◽  
Mechanics Model ◽  
Element Simulation ◽  
Proposed Model

This study aims to conduct a fatigue simulation for predicting the stiffness degradation of thin-ply composite laminates with several ply thicknesses. For the simulation, a fatigue evolution model of intra-laminar damage in thin-ply composite laminates considering the effect of ply thickness was proposed. The intra-laminar damage evolution was modeled using the continuum damage mechanics model and the static and fatigue evolution law were formulated by relating the transverse crack density to the damage variable. The finite element simulation using the proposed model was conducted to predict the stiffness degradation of the laminates as a function of the number of loading cycles. The simulation results show that the experimental data can be reproduced by using the proposed fatigue model.

Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability

2020 ◽  
Vol 12 (3) ◽  
pp. 035018 ◽  
Author(s):  
Jooyoung Lee ◽  
Seung Ja Oh ◽  
Sang Hyun An ◽  
Wan-Doo Kim ◽  
Sang-Heon Kim
Keyword(s):  
Machine Learning ◽  
Elastic Modulus ◽  
Yield Stress ◽  
Design Strategy

A Methodology for Optimal Design of Composite Laminates Using Polar Formalism

2016 ◽  
Vol 32 (3) ◽  
pp. 255-266
Author(s):  
M. Kazemi ◽  
G. Verchery
Keyword(s):  
Elastic Modulus ◽  
Composite Laminates ◽  
Elastic Moduli ◽  
Optimization Technique ◽  
Laminated Plates ◽  
Flexural Stiffness ◽  
Numerical Examples ◽  
Composite Laminated Plates ◽  
Plane Anisotropy ◽  
Laminated Structures

AbstractAn innovative optimization technique is presented for the design of composite laminated plates subjected to in-plane loads. A list of quasi-homogeneous laminates that can be used as angle-ply materials is proposed as a comprehensive solution for optimum lay-up. Two optimization procedures are performed: Dimensioning of the flexural stiffness and the elastic modulus, which provides the optimal orientations for the layers and offer highest in-plane resistance to composite laminated structures. The polar formalism for plane anisotropy is used to represent the flexural stiffness and elastic modulus tensors. Numerical examples are resolved for two materials with different elastic moduli.

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