Carbon nanotubes in carbon/epoxy multiscale textile preform composites: A review
K Bilisik, M Syduzzaman - Polymer Composites, 2021 - Wiley Online Library
Carbon nanotube integrated textile structural composites are one of the demanded materials
especially for space/aerospace and defense industries in the 21st century due to their better …
especially for space/aerospace and defense industries in the 21st century due to their better …
Towards next-generation fiber-reinforced polymer composites: a perspective on multifunctionality
Polymer composite materials and structures with multiscale additives have great potential
applications in various fields due to their outstanding features, such as extraordinary …
applications in various fields due to their outstanding features, such as extraordinary …
Uncertainty quantification in multiscale simulation of woven fiber composites
Woven fiber composites have been increasingly employed as light-weight materials in
aerospace, construction, and transportation industries due to their superior properties …
aerospace, construction, and transportation industries due to their superior properties …
Micromechanics modeling of the uniaxial strain-sensing property of carbon nanotube cement-matrix composites for SHM applications
Recent advances in the field of Nanotechnology have made possible the development of
new smart materials, among which Carbon NanoTube (CNT) cement-based composites are …
new smart materials, among which Carbon NanoTube (CNT) cement-based composites are …
Analysis of axially temperature-dependent functionally graded carbon nanotube reinforced composite plates
This article presents a comprehensive analysis to investigate the static buckling stability and
static deflection of axially single-walled (SW) functionally graded (FG) carbon nanotubes …
static deflection of axially single-walled (SW) functionally graded (FG) carbon nanotubes …
Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties
G Stefanou, D Savvas, M Papadrakakis - Computer Methods in Applied …, 2017 - Elsevier
The linking of microstructure uncertainty with the random variation of material properties at
higher scales is of paramount importance in the framework of the stochastic finite element …
higher scales is of paramount importance in the framework of the stochastic finite element …
Micromechanical analysis of carbon nanotube-coated fiber-reinforced hybrid composites
MK Hassanzadeh-Aghdam, R Ansari… - International Journal of …, 2018 - Elsevier
A multiscale micromechanical modeling approach is developed to predict elastic properties
of carbon fiber (CF)-reinforced polymer hybrid composites. In this type of hybrid composite …
of carbon fiber (CF)-reinforced polymer hybrid composites. In this type of hybrid composite …
[HTML][HTML] A multi-scale computational framework for the hygro-thermo-mechanical analysis of laminated composite structures with carbon nanotube inclusions
SK Georgantzinos, PA Antoniou, C Spitas - Results in Engineering, 2023 - Elsevier
In this work, a multi-scale framework is presented for the estimation of the hygro-thermo-
mechanical elastic performance of laminated composite structures with single-walled carbon …
mechanical elastic performance of laminated composite structures with single-walled carbon …
Computational homogenization of mechanical properties for laminate composites reinforced with thin film made of carbon nanotubes
Elastic properties of laminate composites based Carbone Nanotubes (CNTs), used in
military applications, were estimated using homogenization techniques and compared to the …
military applications, were estimated using homogenization techniques and compared to the …
Bayesian identification and model comparison for random property fields derived from material microstructure
D Savvas, I Papaioannou, G Stefanou - Computer Methods in Applied …, 2020 - Elsevier
This paper provides a Bayesian framework for determining the spatial variability of the
apparent material properties of two-phase composites. Bayesian analysis is applied to learn …
apparent material properties of two-phase composites. Bayesian analysis is applied to learn …