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View article: Deep neural network based time–frequency decomposition for structural seismic responses training with synthetic samples
Deep neural network based time–frequency decomposition for structural seismic responses training with synthetic samples Open
Time–frequency decomposition is a powerful tool in assessing the dynamic behaviors of structures. Traditional time–frequency decomposition methods struggle with adaptability, and are limited in handling the structural responses with strong…
View article: Railroad Sleeper Condition Monitoring Using Non-Contact in Motion Ultrasonic Ranging and Machine Learning-Based Image Processing
Railroad Sleeper Condition Monitoring Using Non-Contact in Motion Ultrasonic Ranging and Machine Learning-Based Image Processing Open
An ultrasonic sonar-based ranging technique is introduced for measuring full-field railroad crosstie (sleeper) deflections. Tie deflection measurements have numerous applications, such as detecting degrading ballast support conditions and …
View article: Improved global-local model to predict guided-wave scattering patterns from discontinuities in complex parts
Improved global-local model to predict guided-wave scattering patterns from discontinuities in complex parts Open
Ultrasonic guided-wave testing can greatly benefit from (1) an ability to provide quantitative information on the damage that is being detected, and (2) an ability to select the best mode-frequency combination for maximum sensitivity to a …
View article: SAFE Framework for Guided Waves
SAFE Framework for Guided Waves Open
There are many advantages for NDE (Non-Destructive Evaluation) by using guided ultrasonic waves for structural diagnostic. Guided waves are composed of longitudinal waves and shear waves. From the data acquisition respect, guided waves pro…