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Journal Articles

Probabilistic Deep Learning Approach for Fatigue Crack Width Estimation and Prognosis in Lap Joint Using Acoustic Waves

Shivam Ojha, Amit Shelke
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2025, 8(1): 011003.
Paper No: NDE-24-1018
https://doi.org/10.1115/1.4065550
Published Online: July 30, 2024
View Article titled, Probabilistic Deep Learning Approach for Fatigue Crack Width Estimation and Prognosis in Lap Joint Using Acoustic Waves
Open the PDF for Probabilistic Deep Learning Approach for Fatigue Crack Width Estimation and Prognosis in Lap Joint Using Acoustic Waves in another window
Topics: Artificial neural networks, Deep learning, Fracture (Materials), Uncertainty, Waves, Aluminum, Fatigue cracks, Acoustics
Journal Articles

Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures

Shane Ennis, Victor Giurgiutiu
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2024, 7(1): 011004.
Paper No: NDE-23-1012
https://doi.org/10.1115/1.4064011
Published Online: December 11, 2023
View Article titled, Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures
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Topics: Acoustic emissions, Fracture (Materials), Machine learning, Signals, Fatigue cracks, Stress
Journal Articles

Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method

René Gansel, Hans Jürgen Maier, Sebastian Barton
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2023, 6(2): 021001.
Paper No: NDE-22-1027
https://doi.org/10.1115/1.4056313
Published Online: December 12, 2022
View Article titled, Detection and Characterization of Fatigue Cracks in Butt Welds of Offshore Structures Using the Eddy Current Method
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Topics: Eddies (Fluid dynamics), Eddy currents (Electricity), Fatigue cracks, Fracture (Materials), Sensors, Signals, Welded joints, Calibration, Inspection, Eddy current testing
Journal Articles

Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform

Hassan Alqahtani, Asok Ray
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2021, 4(3): 031003.
Paper No: NDE-20-1062
https://doi.org/10.1115/1.4049732
Published Online: February 23, 2021
View Article titled, Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform
Open the PDF for Forecasting and Detection of Fatigue Cracks in Polycrystalline Alloys With Ultrasonic Testing Via Discrete Wavelet Transform in another window
Topics: Discrete wavelet transforms, Fatigue cracks, Signals, Ultrasonic testing
Journal Articles

Measurement of Natural Vibrations and Resonant Second Higher-Harmonics Due to a Fatigue Crack

Kosuke Kanda, Shan Lin
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2020, 3(4): 041101.
Paper No: NDE-19-1060
https://doi.org/10.1115/1.4046945
Published Online: May 11, 2020
View Article titled, Measurement of Natural Vibrations and Resonant Second Higher-Harmonics Due to a Fatigue Crack
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Topics: Fatigue cracks, Fracture (Materials), Frequency response, Resonance, Ultrasonic waves, Vibration, Waves
Journal Articles

Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

Yanfeng Shen, Carlos E. S. Cesnik
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. February 2018, 1(1): 011008–011008-9.
Paper No: NDE-17-1057
https://doi.org/10.1115/1.4037545
Published Online: September 29, 2017
View Article titled, Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures
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Topics: Anisotropy, Composite materials, Damage, Modeling, Rails, Simulation, Wave propagation, Waves, Damping, Fatigue cracks