Physics-informed deep homogenization approach for random nanoporous composites with energetic interfaces DOI
Qiang Chen, George Chatzigeorgiou, Fodil Meraghni

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 140, P. 109735 - 109735

Published: Dec. 2, 2024

Language: Английский

An inverse design framework for optimizing tensile strength of composite materials based on a CNN surrogate for the phase field fracture model DOI Creative Commons
Yuxiang Gao, Ravindra Duddu, Soheil Kolouri

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2025, Volume and Issue: unknown, P. 108758 - 108758

Published: Feb. 1, 2025

Language: Английский

Citations

1

Experimental and Numerical Characterization of Electrospun Piezoelectric Polyvinylidene Fluoride Nanocomposites Reinforced with Silver Nanoparticles DOI Open Access
Strahinja Milenković, Fatima Živić, Nenad Grujović

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(7), P. 1467 - 1467

Published: March 26, 2025

This study focuses on preparing piezoelectric polyvinylidene fluoride (PVDF) nanocomposites reinforced with silver nanoparticles (AgNPs) using an electrospinning process. The aim of this is to assess AgNPs' influence the properties PVDF and, therefore, create optimal composite enhanced properties, enabling its application in various fields both as sensor and actuator. Because electrical stimuli have proven a positive tissue engineering, combined AgNPs, which antimicrobial these composites demonstrate promising opportunity for biomedical scaffolds. proposed scaffolds were characterized by scanning electron microscopy, energy-dispersive X-ray spectroscopy Fourier transform infrared spectroscopy. In addition, mechanical are studied through tensile tests, while response measured in-house built setup coupling monitoring. An experimental test was numerical simulations COMSOL Multiphysics version 6.3 software package, paper also presents short review analytical methods used modelling simulation composites.

Language: Английский

Citations

0

A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling DOI Creative Commons
Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar

et al.

Materials & Design, Journal Year: 2025, Volume and Issue: unknown, P. 114044 - 114044

Published: May 1, 2025

Language: Английский

Citations

0

Geometry-dependent reduced-order models for the computation of homogenized transfer properties in porous media, part II: electrical double layer effects DOI Creative Commons
Antoine Moreau, Cyrille Allery, Olivier Millet

et al.

Acta Mechanica, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Abstract A reduced-order model (ROM) based on proper orthogonal decomposition (POD) is proposed to solve fastly the strongly nonlinear elementary cell problem derived from periodic homogenization of Nernst-Planck-Poisson-Boltzmann equations. In previous works, multiscale models have been developed, in order take separately into account macro- and microscopical aspects ionic diffusion, under assumption that porous medium consists repetition a single microscopic representative volume (REV). More recently, numerical method POD-ROM has developed variability REV at macroscopical scale, which involves resolution large amount instances problem. Presently, this extended case where REV’s size Debye length adsorption during transfer ions by solid–fluid interface considered.

Language: Английский

Citations

0

Elasticity-inspired data-driven micromechanics theory for unidirectional composites with interfacial damage DOI
Qiang Chen, Wenqiong Tu, Jiajun Wu

et al.

European Journal of Mechanics - A/Solids, Journal Year: 2024, Volume and Issue: 111, P. 105506 - 105506

Published: Nov. 26, 2024

Language: Английский

Citations

0

Physics-informed deep homogenization approach for random nanoporous composites with energetic interfaces DOI
Qiang Chen, George Chatzigeorgiou, Fodil Meraghni

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 140, P. 109735 - 109735

Published: Dec. 2, 2024

Language: Английский

Citations

0