Multi deep learning-based stochastic microstructure reconstruction and high-fidelity micromechanics simulation of time-dependent ceramic matrix composite response
MH Hamza, A Chattopadhyay - Composite Structures, 2024 - Elsevier
A multi deep learning-based framework is developed for efficient, automated microstructure
reconstruction and generation of stochastic representative volume elements (SRVEs) with …
reconstruction and generation of stochastic representative volume elements (SRVEs) with …
Finite Element Analysis and Machine Learning Guided Design of Carbon Fiber Organosheet-Based Battery Enclosures for Crashworthiness
SA Shaikh, MFN Taufique, K Balusu… - Applied Composite …, 2024 - Springer
Carbon fiber composite can be a potential candidate for replacing metal-based battery
enclosures of current electric vehicles (EVs) owing to its better strength-to-weight ratio and …
enclosures of current electric vehicles (EVs) owing to its better strength-to-weight ratio and …
Convolutional neural network for enhancement of localization in granular representative unit cells
A convolutional neural network was used to enhance the localization of strain and stress for
a generalized method of cells model of a metallic microstructure. Enhanced shear strains …
a generalized method of cells model of a metallic microstructure. Enhanced shear strains …
A convolutional neural network for enhancement of multi-scale localization in granular metallic representative unit cells
PA Gustafson, EJ Pineda, TM Ricks… - AIAA SCITECH 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-0078. vid A convolutional neural
network was used to enhance the localization of strain and stress for a generalized method …
network was used to enhance the localization of strain and stress for a generalized method …
Nonuniform transformation field analysis based reduced-order model of high-fidelity generalized method of cells
KR Venkatesan, A Chattopadhyay - Composite Structures, 2021 - Elsevier
The accurate prediction of a composite's nonlinear behavior using multiscale modeling
techniques relies heavily on the description of microscale features and requires many …
techniques relies heavily on the description of microscale features and requires many …
High-fidelity Multiscale Modeling and In-situ Experiments of Advanced Aerospace Composites in Extreme Environments
KHA Khafagy - 2022 - search.proquest.com
Advanced fibrous composite materials exhibit outstanding thermomechanical performance
under extreme environments, which make them ideal for structural components that are …
under extreme environments, which make them ideal for structural components that are …
Stochastic microstructural analysis of ceramic matrix composites using a high-fidelity multiscale framework
KH Khafagy, KRR Venkatesan, K Balusu… - AIAA Scitech 2021 …, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-1350. vid This paper presents a
high-fidelity multiscale framework to simulate the mechanical behavior of ceramic matrix …
high-fidelity multiscale framework to simulate the mechanical behavior of ceramic matrix …
High Fidelity Modeling and Analysis of Nanoengineered Composites and Complex Sandwich Structures
KR Venkatesan - 2021 - search.proquest.com
Damage and failure of advanced composite materials and structures are often
manifestations of nonlinear deformation that involve multiple mechanisms and their …
manifestations of nonlinear deformation that involve multiple mechanisms and their …