On ultrasound propagation in composite laminates: Advances in numerical simulation
The growing use of composite materials for aerospace applications has resulted in the need
for quantitative methods to analyze composite components. Ultrasonic guided waves …
for quantitative methods to analyze composite components. Ultrasonic guided waves …
Machine learning based quantitative damage monitoring of composite structure
X Qing, Y Liao, Y Wang, B Chen, F Zhang… - International journal of …, 2022 - Taylor & Francis
Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …
mechanical properties. It is difficult to analyze the integrity and durability of composite …
Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study
Plain weave composite is a long-lasting type of fabric composite that is stable enough when
being handled. Open-hole composites have been widely used in industry, though they have …
being handled. Open-hole composites have been widely used in industry, though they have …
Machine learning assisted characterisation and simulation of compressive damage in composite laminates
A data-rich framework is presented to consistently characterise the macroscopic strain-
softening response of laminated composites subjected to compressive loading. First, a …
softening response of laminated composites subjected to compressive loading. First, a …
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …
integrity of composite structures, which are extensively utilized in aerospace, automobile …
Damage detection in flat panels by guided waves based artificial neural network trained through finite element method
D Perfetto, A De Luca, M Perfetto, G Lamanna… - Materials, 2021 - mdpi.com
Artificial Neural Networks (ANNs) have rapidly emerged as a promising tool to solve
damage identification and localization problem, according to a Structural Health Monitoring …
damage identification and localization problem, according to a Structural Health Monitoring …
Compression after multiple impact strength of composite laminates prediction method based on machine learning approach
J Zhao, B Wang, Q Lyu, W Xie, Z Guo… - Aerospace Science and …, 2023 - Elsevier
The intelligent structural health monitoring system that can evaluate the structural safety
online is the future development trend, in which the strength online prediction is the key step …
online is the future development trend, in which the strength online prediction is the key step …
Development of aviation industry-oriented methodology for failure predictions of brittle bonded joints using probabilistic machine learning
The bonding assembly concept of cured aerospace composite parts is considered an
efficient approach from almost every perspective. It simplifies the design and provides great …
efficient approach from almost every perspective. It simplifies the design and provides great …
[HTML][HTML] A machine learning framework for real-time inverse modeling and multi-objective process optimization of composites for active manufacturing control
KD Humfeld, D Gu, GA Butler, K Nelson… - Composites Part B …, 2021 - Elsevier
For manufacturing of aerospace composites, several parts may be processed
simultaneously using convective heating in an autoclave. Due to uncertainties including tool …
simultaneously using convective heating in an autoclave. Due to uncertainties including tool …
Implementation of a probabilistic machine learning strategy for failure predictions of adhesively bonded joints using cohesive zone modeling
Adhesive bonding as an assembly procedure in aviation products is very efficient from both
weight and recurring cost points of view. However, even with strict inspections, process …
weight and recurring cost points of view. However, even with strict inspections, process …