Few-shot structural repair decision of civil aircraft based on deep meta-learning
C Che, H Wang, X Ni, M Xiong - Engineering Applications of Artificial …, 2023 - Elsevier
To solve the difficulties in extracting general features of few-shot high-dimensional structural
health monitoring data and making accurate repair decision, a civil aircraft structural repair …
health monitoring data and making accurate repair decision, a civil aircraft structural repair …
A Bayesian fusion method for composite damage identification using Lamb wave
This study presents a novel method for composite damage identification using Lamb wave.
A probabilistic integration of the elliptical loci method and the RAPID (reconstruction …
A probabilistic integration of the elliptical loci method and the RAPID (reconstruction …
In-situ fatigue life prognosis for composite laminates based on stiffness degradation
In this paper, a real-time composite fatigue life prognosis framework is proposed. The
proposed methodology combines Bayesian inference, piezoelectric sensor measurements …
proposed methodology combines Bayesian inference, piezoelectric sensor measurements …
A probabilistic crack size quantification method using in-situ Lamb wave test and Bayesian updating
This paper presents a new crack size quantification method based on in-situ Lamb wave
testing and Bayesian method. The proposed method uses coupon test to develop a baseline …
testing and Bayesian method. The proposed method uses coupon test to develop a baseline …
Graphene enhanced flexible piezoelectric transducers for dynamic strain measurement: from material preparation to application
J He, Z Fang, C Gao, W Zhang… - Smart Materials and …, 2023 - iopscience.iop.org
In this study, graphene particles are introduced to the lead magnesium niobate-lead titanate
and polyvinylidene fluoride (PVDF) to form a flexible ternary composite. The graphene …
and polyvinylidene fluoride (PVDF) to form a flexible ternary composite. The graphene …
Multi-fidelity data aggregation using convolutional neural networks
Multi-fidelity data exist in almost every engineering and science discipline, which can be
from simulation, experiments, and a hybrid form. High fidelity data are usually associated …
from simulation, experiments, and a hybrid form. High fidelity data are usually associated …
Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
C Che, H Wang, M Xiong, S Luo - Engineering Failure Analysis, 2023 - Elsevier
To solve the problems of few-shot samples, different structural degradation trends and poor
damage evaluation effect in fatigue damage evaluation of aircraft structure, an intelligent …
damage evaluation effect in fatigue damage evaluation of aircraft structure, an intelligent …
Model-driven fatigue crack characterization and growth prediction: A two-step, 3-D fatigue damage modeling framework for structural health monitoring
Prevailing fatigue damage evaluation approaches that make use of the acoustic nonlinearity
of guided ultrasonic waves (GUWs) are sustained by simplified models, most of which depict …
of guided ultrasonic waves (GUWs) are sustained by simplified models, most of which depict …
Uncertainty quantification of fatigue SN curves with sparse data using hierarchical Bayesian data augmentation
A novel statistical uncertainty quantification (UQ) method for fatigue SN curves with sparse
data is proposed in this paper. Sparse data observation is very common in fatigue testing …
data is proposed in this paper. Sparse data observation is very common in fatigue testing …
Monitoring fatigue cracks in riveted plates using a sideband intensity based nonlinear ultrasonic technique
Aluminum structures are routinely used in aircraft due to their lightweight and corrosion
resistance properties. Multi-layered aluminum plates are generally joined by rivets forming …
resistance properties. Multi-layered aluminum plates are generally joined by rivets forming …