[HTML][HTML] Generation of 3D representative volume elements for heterogeneous materials: A review

S Bargmann, B Klusemann, J Markmann… - Progress in Materials …, 2018 - Elsevier
This work reviews state of the art representative volume element (RVE) generation
techniques for heterogeneous materials. To this end, we present a systematic classification …

Structural composites for multifunctional applications: Current challenges and future trends

C González, JJ Vilatela, JM Molina-Aldareguía… - Progress in Materials …, 2017 - Elsevier
This review paper summarizes the current state-of-art and challenges for the future
developments of fiber-reinforced composites for structural applications with multifunctional …

A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

MA Bessa, R Bostanabad, Z Liu, A Hu… - Computer Methods in …, 2017 - Elsevier
A new data-driven computational framework is developed to assist in the design and
modeling of new material systems and structures. The proposed framework integrates three …

[HTML][HTML] Machine learning and materials informatics approaches for predicting transverse mechanical properties of unidirectional CFRP composites with microvoids

M Li, H Zhang, S Li, W Zhu, Y Ke - Materials & Design, 2022 - Elsevier
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 …

[HTML][HTML] Computational micromechanics of the transverse and shear behavior of unidirectional fiber reinforced polymers including environmental effects

F Naya, C Gonzalez, CS Lopes, S Van der Veen… - Composites Part A …, 2017 - Elsevier
Abstract Qualification of Fiber Reinforced Polymer materials (FRP's) for manufacturing of
structural components in the aerospace industry is usually associated with extensive and …

Predictions of the mechanical properties of unidirectional fibre composites by supervised machine learning

MV Pathan, SA Ponnusami, J Pathan… - Scientific reports, 2019 - nature.com
We present an application of data analytics and supervised machine learning to allow
accurate predictions of the macroscopic stiffness and yield strength of a unidirectional …

An integrated modeling of the curing process and transverse tensile damage of unidirectional CFRP composites

X Hui, Y Xu, W Zhang - Composite Structures, 2021 - Elsevier
In this work, an integrated numerical approach for predicting the damage mechanism of
unidirectional CFRP composites at the micro-scale level has been developed using a multi …

[HTML][HTML] Micromechanical analysis of polymer composites reinforced by unidirectional fibres: Part II–Micromechanical analyses

AR Melro, PP Camanho, FMA Pires… - International Journal of …, 2013 - Elsevier
This paper presents the application of a new constitutive damage model for an epoxy matrix
on micromechanical analyses of polymer composite materials. Different representative …

Conditional diffusion-based microstructure reconstruction

C Düreth, P Seibert, D Rücker, S Handford… - Materials Today …, 2023 - Elsevier
Microstructure reconstruction, a major component of inverse computational materials
engineering, is currently advancing at an unprecedented rate. While various training-based …

An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle …

Q Sun, G Zhou, Z Meng, M Jain, X Su - Composites science and technology, 2021 - Elsevier
A bottom-up multi-scale modeling approach is used to develop an Integrated Computational
Materials Engineering (ICME) framework for carbon fiber reinforced polymer (CFRP) …