Study on Prediction of Compression Performance of Composite Laminates After Impact Based on Convolutional Neural Networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Study on Prediction of Compression Performance of Composite Laminates After Impact Based on Convolutional Neural Networks
Authors
Keywords
-
Journal
APPLIED COMPOSITE MATERIALS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-05-12
DOI
10.1007/s10443-021-09904-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Determination of mode I interlaminar fracture toughness of composite by a wedge-insert double cantilever beam and the nonlinear J integral
- (2021) J.C. Ding et al. COMPOSITES SCIENCE AND TECHNOLOGY
- A fast and efficient numerical prediction of compression after impact (CAI) strength of composite laminates and structures
- (2020) Tian Ouyang et al. THIN-WALLED STRUCTURES
- Prediction of composite microstructure stress-strain curves using convolutional neural networks
- (2020) Charles Yang et al. MATERIALS & DESIGN
- Damage Detection in Composites By Artificial Neural Networks Trained By Using in Situ Distributed Strains
- (2020) America Califano et al. APPLIED COMPOSITE MATERIALS
- Defect identification in composite materials via thermography and deep learning techniques
- (2020) Hyun-Tae Bang et al. COMPOSITE STRUCTURES
- A modified transmissibility indicator and Artificial Neural Network for damage identification and quantification in laminated composite structures
- (2020) Roumaissa Zenzen et al. COMPOSITE STRUCTURES
- Impact resistance and damage tolerance of fiber reinforced composites: A review
- (2019) S.Z.H. Shah et al. COMPOSITE STRUCTURES
- Assessment of damage tolerance approaches for composite aircraft with focus on barely visible impact damage
- (2019) Ramesh Talreja et al. COMPOSITE STRUCTURES
- A Novel Method to Improve Temperature Uniformity in Polymer Composites Microwave Curing Process through Deep Learning with Historical Data
- (2019) Di Li et al. APPLIED COMPOSITE MATERIALS
- Prediction and optimization of mechanical properties of composites using convolutional neural networks
- (2019) Diab W. Abueidda et al. COMPOSITE STRUCTURES
- Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods
- (2019) Qingyuan Rong et al. COMPOSITES SCIENCE AND TECHNOLOGY
- Relationship Between Matrix Cracking and Delamination in CFRP Cross-Ply Laminates Subjected to Low Velocity Impact
- (2019) Riming Tan et al. Materials
- Damage mode identification of adhesive composite joints under hygrothermal environment using acoustic emission and machine learning
- (2018) D. Xu et al. COMPOSITE STRUCTURES
- Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning
- (2017) Jeff Heaton Genetic Programming and Evolvable Machines
- Error bounds for approximations with deep ReLU networks
- (2017) Dmitry Yarotsky NEURAL NETWORKS
- A Progressive Damage Model for Predicting Permanent Indentation and Impact Damage in Composite Laminates
- (2016) Zhaojie Ji et al. APPLIED COMPOSITE MATERIALS
- Microscopic damage mechanisms of fibre reinforced composite laminates subjected to low velocity impact
- (2016) Lei Yang et al. COMPUTATIONAL MATERIALS SCIENCE
- Investigation of the response to low velocity impact and quasi-static indentation loading of particle-toughened carbon-fibre composite materials
- (2015) D.J. Bull et al. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
- Predicting low velocity impact damage and Compression-After-Impact (CAI) behaviour of composite laminates
- (2015) Wei Tan et al. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Analytical study on low compressive strength of composite laminates with impact damage
- (2013) Hiroshi Suemasu et al. COMPOSITE STRUCTURES
- Validation of low velocity impact modelling on different stacking sequences of CFRP laminates and influence of fibre failure
- (2013) N. Hongkarnjanakul et al. COMPOSITE STRUCTURES
- Simulation of low velocity impact on composite laminates with progressive failure analysis
- (2013) L. Maio et al. COMPOSITE STRUCTURES
- Simulation of the Tape-Laying Process for Thermoplastic Matrix Composites
- (2012) M. Narnhofer et al. ADVANCES IN POLYMER TECHNOLOGY
- Prediction of Damage Factor in end Milling of Glass Fibre Reinforced Plastic Composites Using Artificial Neural Network
- (2012) Ömer Erkan et al. APPLIED COMPOSITE MATERIALS
- Prediction of permanent indentation due to impact on laminated composites based on an elasto-plastic model incorporating fiber failure
- (2012) Wei He et al. COMPOSITE STRUCTURES
- Low velocity impact modeling in composite laminates capturing permanent indentation
- (2012) C. Bouvet et al. COMPOSITES SCIENCE AND TECHNOLOGY
- Damage Detection in a Composite Plate Using Modal Analysis and Artificial Intelligence
- (2011) M. R. Nasiri et al. APPLIED COMPOSITE MATERIALS
- Analysis and Compression Testing of Laminates Optimised for Damage Tolerance
- (2010) Andrew T. Rhead et al. APPLIED COMPOSITE MATERIALS
- Detecting Low Velocity Impact Damage in Composite Plate Using Nonlinear Acoustic/Ultrasound Methods
- (2010) U. Polimeno et al. APPLIED COMPOSITE MATERIALS
- Detecting Damage in Composite Material Using Nonlinear Elastic Wave Spectroscopy Methods
- (2008) Michele Meo et al. APPLIED COMPOSITE MATERIALS
- Nonlinear compressive stiffness in impacted composite laminates determined by an inverse method
- (2008) Pavel Sztefek et al. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
- Investigation of impact damage in multi-directional tape laminates and its effect on local tensile stiffness
- (2008) R. Craven et al. COMPOSITES SCIENCE AND TECHNOLOGY
- Simulation of multiple delaminations in impacted cross-ply laminates using a finite element model based on cohesive interface elements
- (2008) F. Aymerich et al. COMPOSITES SCIENCE AND TECHNOLOGY
- Tensile stiffness distribution in impacted composite laminates determined by an inverse method
- (2007) Pavel Sztefek et al. COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now