Fatigue modeling using neural networks: A comprehensive review
Neural network (NN) models have significantly impacted fatigue‐related engineering
communities and are expected to increase rapidly due to the recent advancements in …
communities and are expected to increase rapidly due to the recent advancements in …
Nonlinear ultrasonic testing and data analytics for damage characterization: A review
Nondestructive testing and evaluation (NDT&E) are commonly used in the industry for their
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …
Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network
Lamb wave-based SHM technology for damage detection and localization in plate-like
structures has typically relied on post-processing of ultrasonic guided waves. Traditionally …
structures has typically relied on post-processing of ultrasonic guided waves. Traditionally …
Towards a deep learning-based unified approach for structural damage detection, localisation and quantification
Ultrasonic guided waves have been extensively employed for characterising structural
damage thanks to their sensitivity to defects. Although they are easy to excite and acquire …
damage thanks to their sensitivity to defects. Although they are easy to excite and acquire …
On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis
Among the maintenance policies adopted to guarantee the safety of structures throughout
their service life, condition-based maintenance policies driven by structural health …
their service life, condition-based maintenance policies driven by structural health …
Composite materials and their damage detection using AI techniques for aerospace application: A brief review
M Das, S Sahu, DR Parhi - Materials Today: Proceedings, 2021 - Elsevier
Materials for different structural and machine elements have gained importance from last two
decades. With the hi-tech age, scientists are interested in specialised materials with specific …
decades. With the hi-tech age, scientists are interested in specialised materials with specific …
A future with machine learning: review of condition assessment of structures and mechanical systems in nuclear facilities
The nuclear industry is exploring applications of Artificial Intelligence (AI), including
autonomous control and management of reactors and components. A condition assessment …
autonomous control and management of reactors and components. A condition assessment …
Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition
S Eftekhar Azam, A Rageh… - Structural Control and …, 2019 - Wiley Online Library
A supervised learning scheme is proposed for detecting, locating, and quantifying the
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
intensity of damage in structures using Artificial Neural Networks (ANNs) and Proper …
Optimized damage identification in CFRP plates by reduced mode shapes and GA-ANN methods
Delamination is one of the most common failure mode in laminated composites that leads
the separation along the interfaces of the layers. The structural performance can be …
the separation along the interfaces of the layers. The structural performance can be …
A Comprehensive review of emerging trends in aircraft structural prognostics and health management
This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …