相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。In-series sample methodology for permeability characterization demonstrated on carbon nanotube-grafted alumina textiles
Jeroen Staal et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2021)
Bounding transverse permeability of fibrous media: a statistical study from random representative volume elements with consideration of fluid slip
Aubin Geoffre et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2021)
A Survey of Deep Learning Applications to Autonomous Vehicle Control
Sampo Kuutti et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)
Advanced deep learning model-based impact characterization method for composite laminates
Kyung-Chae Jung et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2021)
Machine and deep learning for estimating the permeability of complex carbonate rock from X-ray micro-computed tomography
Moussa Tembely et al.
ENERGY REPORTS (2021)
Permeability of flax fibre mats: Numerical and theoretical prediction from 3D X-ray microtomography images
T. A. Ghafour et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2021)
An electric circuit analogy-based homogenization approach for predicting the effective permeability of complex dual-scale porous media
Muhammad A. Ali et al.
MATERIALS TODAY COMMUNICATIONS (2021)
Artificial intelligence and machine learning in design of mechanical materials
Kai Guo et al.
MATERIALS HORIZONS (2021)
Machine Learning for Fluid Mechanics
Steven L. Brunton et al.
ANNUAL REVIEW OF FLUID MECHANICS, VOL 52 (2020)
Deep learning-driven permeability estimation from 2D images
Mauricio Araya-Polo et al.
COMPUTATIONAL GEOSCIENCES (2020)
Modeling transverse micro flow in dry fiber placement preforms
Oliver Rimmel et al.
JOURNAL OF COMPOSITE MATERIALS (2020)
Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning
Serveh Kamrava et al.
TRANSPORT IN POROUS MEDIA (2020)
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
Javier E. Santos et al.
ADVANCES IN WATER RESOURCES (2020)
Dropout vs. batch normalization: an empirical study of their impact to deep learning
Christian Garbin et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Extraction of mechanical properties of materials through deep learning from instrumented indentation
Lu Lu et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
Predicting porosity, permeability, and tortuosity of porous media from images by deep learning
Krzysztof M. Graczyk et al.
SCIENTIFIC REPORTS (2020)
In-plane virtual permeability characterization of 3D woven fabrics using a hybrid experimental and numerical approach
M. A. Ali et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2019)
In-plane permeability characterization of engineering textiles based on radial flow experiments: A benchmark exercise
D. May et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2019)
Prediction and optimization of mechanical properties of composites using convolutional neural networks
Diab W. Abueidda et al.
COMPOSITE STRUCTURES (2019)
Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods
Qingyuan Rong et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2019)
Application of X-ray computed tomography for the virtual permeability prediction of fiber reinforcements for liquid composite molding processes: A review
M. A. Ali et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2019)
A guide to deep learning in healthcare
Andre Esteva et al.
NATURE MEDICINE (2019)
Predicting Effective Diffusivity of Porous Media from Images by Deep Learning
Haiyi Wu et al.
SCIENTIFIC REPORTS (2019)
Progress in Experimental and Theoretical Evaluation Methods for Textile Permeability
Mohamad Karaki et al.
JOURNAL OF COMPOSITES SCIENCE (2019)
Survey on deep learning with class imbalance
Justin M. Johnson et al.
JOURNAL OF BIG DATA (2019)
Permeability and capillary effects in a channel-wise non-crimp fabric
Damiano Salvatori et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2018)
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
Zijiang Yang et al.
COMPUTATIONAL MATERIALS SCIENCE (2018)
Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments
Zixing Zhang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2018)
In-plane permeability distribution mapping of isotropic mats using flow front detection
Baris Caglar et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2018)
A systematic study of the class imbalance problem in convolutional neural networks
Mateusz Buda et al.
NEURAL NETWORKS (2018)
Seeing permeability from images: fast prediction with convolutional neural networks
Jinlong Wu et al.
SCIENCE BULLETIN (2018)
Manifold embedding of heterogeneity in permeability of a woven fabric for optimization of the VARTM process
Min-young Yun et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2018)
Prediction of permeability of realistic and virtual layered nonwovens using combined application of X-ray, μCT and computer simulation
Parham Soltani et al.
CHEMICAL ENGINEERING RESEARCH & DESIGN (2017)
Permeability of textile fabrics with spherical inclusions
Baris Caglar et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Characterization of 3D fabric permeability with skew terms
Minyoung Yun et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2017)
Estimating permeability from thin sections without reconstruction: Digital rock study of 3D properties from 2D images
Nishank Saxena et al.
COMPUTERS & GEOSCIENCES (2017)
Predicting permeability based on flow simulations and textile modelling techniques: Comparison with experimental values and verification of FlowTex solver using Ansys CFX
Elinor E. Swery et al.
JOURNAL OF COMPOSITE MATERIALS (2016)
Use of Centroidal Voronoi Diagram to find optimal gate locations to minimize mold filling time in resin transfer molding
J. Wang et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2016)
Computation of permeability of a non-crimp carbon textile reinforcement based on X-ray computed tomography images
Ilya Straumit et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2016)
A Review of Non-saturated Resin Flow in Liquid Composite Moulding processes
Veronique Michaud
TRANSPORT IN POROUS MEDIA (2016)
Numerical prediction of in-plane permeability for multilayer woven fabrics with manufacture-induced deformation
Xuesen Zeng et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2015)
A methodology to reduce variability during vacuum infusion with optimized design of distribution media
Hatice S. Sas et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2015)
Experimental determination of the permeability of engineering textiles: Benchmark II
N. Vernet et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2014)
Stochastic analysis of fibre volume fraction and permeability in fibre bundles with random filament arrangement
A. Endruweit et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2013)
Permeability prediction of fibrous porous media with complex 3D architectures
Hai Long Liu et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2012)
Experimental determination of the permeability of textiles: A benchmark exercise
R. Arbter et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2011)
Transverse permeability of fibrous porous media
Ali Tamayol et al.
PHYSICAL REVIEW E (2011)
Permeability prediction for the meso-macro coupling in the simulation of the impregnation stage of Resin Transfer Moulding
B. Verleye et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2010)
Analytical determination of viscous permeability of fibrous porous media
A. Tamayol et al.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2009)
Micro-scale modeling of axial flow through unidirectional disordered fiber arrays
Xiaoming Chen et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2007)
On the variability of the Kozeny constant for saturated flow across unidirectional disordered fiber arrays
XM Chen et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2006)
Viscous permeability of random fiber structures: Comparison of electrical and diffusional estimates with experimental and analytical results
MM Tomadakis et al.
JOURNAL OF COMPOSITE MATERIALS (2005)
Modelling of permeability of textile reinforcements: lattice Boltzmann method
EB Belov et al.
COMPOSITES SCIENCE AND TECHNOLOGY (2004)
Textile composites: modelling strategies
SV Lomov et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2001)
分享论文
