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。Automated fatigue damage detection and classification technique for composite structures using Lamb waves and deep autoencoder
Hyunseong Lee et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Sign Stochastic Gradient Descents without bounded gradient assumption for the finite sum minimization
Tao Sun et al.
NEURAL NETWORKS (2022)
Data-driven compressive strength prediction of steel fiber reinforced concrete (SFRC) subjected to elevated temperatures using stacked machine learning algorithms
Torkan Shafighfard et al.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T (2022)
Model of the Temperature Influence on Additively Manufactured Carbon Fibre Reinforced Polymer Samples with Embedded Fibre Bragg Grating Sensors
Torkan Shafighfard et al.
MATERIALS (2022)
Comparison of machine learning methods and finite element analysis on the fracture behavior of polymer composites
H. Ersen Balcioglu et al.
ARCHIVE OF APPLIED MECHANICS (2021)
Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders
A. Kaveh et al.
ACTA MECHANICA (2021)
Uniaxial tension damage mechanics of steel fiber reinforced concrete using acoustic emission and machine learning crack mode classification
J. G. Yue et al.
CEMENT & CONCRETE COMPOSITES (2021)
Machine learning and materials informatics approaches for evaluating the interfacial properties of fiber-reinforced composites
B. B. Yin et al.
COMPOSITE STRUCTURES (2021)
Damage mode identification of open hole composite laminates based on acoustic emission and digital image correlation methods
E. Ozaslan et al.
COMPOSITE STRUCTURES (2021)
Machine learning assisted characterisation and simulation of compressive damage in composite laminates
Johannes Reiner et al.
COMPOSITE STRUCTURES (2021)
A methodology to generate design allowables of composite laminates using machine learning
C. Furtado et al.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES (2021)
An artificial neural network methodology for damage detection: Demonstration on an operating wind turbine blade
Artur Movsessian et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
A physics-guided machine learning model for two-dimensional structures based on ordinary state-based peridynamics
Cong Tien Nguyen et al.
THEORETICAL AND APPLIED FRACTURE MECHANICS (2021)
Grid search based multi-population particle swarm optimization algorithm for multimodal multi-objective optimization
Guoqing Li et al.
SWARM AND EVOLUTIONARY COMPUTATION (2021)
A micromechanics and machine learning coupled approach for failure prediction of unidirectional CFRP composites under triaxial loading: A preliminary study
Jiayun Chen et al.
COMPOSITE STRUCTURES (2021)
A novel hybrid damage monitoring approach to understand the correlation between size effect and failure behavior of twill CFRP laminates
Raja Muhammad Awais Khan et al.
COMPOSITE STRUCTURES (2021)
Prediction of failure behavior of composite hat-stiffened panels under in-plane shear using artificial neural network
Zhenya Sun et al.
COMPOSITE STRUCTURES (2021)
Difference-based deep learning framework for stress predictions in heterogeneous media
Haotian Feng et al.
COMPOSITE STRUCTURES (2021)
A parametric study of adhesive bonded joints with composite material using black-box and grey-box machine learning methods: Deep neuron networks and genetic programming
Zewen Gu et al.
COMPOSITES PART B-ENGINEERING (2021)
A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed
Kun Feng et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Structured machine learning tools for modelling characteristics of guided waves
Marcus Haywood-Alexander et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Tensile properties and failure mechanism of 3D woven composites containing holes of different geometries
Qiwei Guo et al.
THIN-WALLED STRUCTURES (2021)
A Robust Numerical Methodology for Fatigue Damage Evolution Simulation in Composites
Angela Russo et al.
MATERIALS (2021)
An Unconventional Approach for Analyzing the Mechanical Properties of Natural Fiber Composite Using Convolutional Neural Network
Govindaraj Ramkumar et al.
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2021)
Comparative study on total nitrogen prediction in wastewater treatment plant and effect of various feature selection methods on machine learning algorithms performance
Faramarz Bagherzadeh et al.
JOURNAL OF WATER PROCESS ENGINEERING (2021)
Effect of Data Scaling Methods on Machine Learning Algorithms and Model Performance
Md Manjurul Ahsan et al.
TECHNOLOGIES (2021)
Prediction of Short Fiber Composite Properties by an Artificial Neural Network Trained on an RVE Database
Kevin Breuer et al.
FIBERS (2021)
Experimental characterization, analytical and numerical investigations of metal/polymer/metal sandwich composites - Part 2: Free bending
Mohamed Harhash et al.
COMPOSITE STRUCTURES (2020)
Machine learning predictions on fracture toughness of multiscale bio-nano-composites
Vahid Daghigh et al.
JOURNAL OF REINFORCED PLASTICS AND COMPOSITES (2020)
Prediction of composite microstructure stress-strain curves using convolutional neural networks
Charles Yang et al.
MATERIALS & DESIGN (2020)
Theory -guided machine learning for damage characterization of composites
Navid Zobeiry et al.
COMPOSITE STRUCTURES (2020)
Damage Detection in Composites By Artificial Neural Networks Trained By Usingin SituDistributed Strains
America Califano et al.
APPLIED COMPOSITE MATERIALS (2020)
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Onur Avci et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Multi-Scale Analyses of Three Dimensional Woven Composite 3D Shell With a Cut Out Circle
Duc Hai Nguyen et al.
APPLIED COMPOSITE MATERIALS (2019)
Machine learning for composite materials
Chun-Teh Chen et al.
MRS COMMUNICATIONS (2019)
A machine learning assisted approach for textile formability assessment and design improvement of composite components
Clemens Zimmerling et al.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING (2019)
Decision tree-based machine learning to optimize the laminate stacking of composite cylinders for maximum buckling load and minimum imperfection sensitivity
H. N. R. Wagner et al.
COMPOSITE STRUCTURES (2019)
Design of fiber-reinforced variable-stiffness composites for different open-hole geometries with fiber continuity and curvature constraints
Torkan Shafighfard et al.
COMPOSITE STRUCTURES (2019)
Bioinspired hierarchical composite design using machine learning: simulation, additive manufacturing, and experiment
Grace X. Gu et al.
MATERIALS HORIZONS (2018)
Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering
Dennis M. Dimiduk et al.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION (2018)
Carbon nanotubes as reinforcement in composites: A review of the analytical, numerical and experimental approaches
Sadegh Imani Yengejeh et al.
COMPUTATIONAL MATERIALS SCIENCE (2017)
Progressive failure analysis on scaled open-hole tensile composite laminates
Hongchen Bao et al.
COMPOSITE STRUCTURES (2016)
Progressive failure analysis of three-dimensional woven carbon composites in single-bolt, double-shear bearing
Kyle C. Warren et al.
COMPOSITES PART B-ENGINEERING (2016)
Failure prediction and reliability analysis of ferrocement composite structures by incorporating machine learning into acoustic emission monitoring technique
Arash Behnia et al.
CONSTRUCTION AND BUILDING MATERIALS (2016)
A comparative study of metamodeling methods for the design optimization of variable stiffness composites
Mahdi Arian Nik et al.
COMPOSITE STRUCTURES (2014)
Gradient boosting machines, a tutorial
Alexey Natekin et al.
FRONTIERS IN NEUROROBOTICS (2013)
Decision tree: A very useful tool in analysing flow-induced vibration data
R. Ajith Kumar et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2008)
Buckling of composite plates with U-shaped cutouts
M Yazici et al.
JOURNAL OF COMPOSITE MATERIALS (2003)