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Journal Articles

Precursor Damage Quantification in Composite Structures Using Coda Wave Interferometry and Nonlinear Ultrasonics

Hossain Ahmed, Asef Sadaf, Sourav Banerjee
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): 011004.
Paper No: NDE-23-1049
https://doi.org/10.1115/1.4065707
Published Online: July 30, 2024
View Article titled, Precursor Damage Quantification in Composite Structures Using Coda Wave Interferometry and Nonlinear Ultrasonics
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Topics: Composite materials, Damage, Fatigue, Interferometry, Ultrasonics, Waves, Signals, Cycles
Journal Articles

Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound Non-Destructive Evaluation

Rajendra P. Palanisamy, Portia Banerjee, Mahmoodul Haq, Yiming Deng
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2022, 5(4): 041008.
Paper No: NDE-22-1016
https://doi.org/10.1115/1.4055475
Published Online: October 7, 2022
View Article titled, Diagnosis and Prognosis of Fatigue Damage in Adhesively Bonded Joints Using Ultrasound Non-Destructive Evaluation
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Topics: Adhesives, Damage, Fatigue, Fatigue damage, Modal analysis, Waves, Acoustics, Cycles, Stress, Nondestructive evaluation
Journal Articles

Inherent Magnetic Sensor for Estimation of Fatigue Damage in Type 304 Stainless Steel

Katsuyuki Kinoshita
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2023, 6(1): 011001.
Paper No: NDE-22-1012
https://doi.org/10.1115/1.4054892
Published Online: July 12, 2022
View Article titled, Inherent Magnetic Sensor for Estimation of Fatigue Damage in Type 304 Stainless Steel
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Topics: Cycles, Fatigue, Fatigue damage, Magnetic sensors, Sensors, Stainless steel, Signals
Journal Articles

Including Mean Stress in the Effective Equivalent Stress of the ASME BPVC Elastic–Plastic Fatigue Method

Michael Ross, David Najera-Flores, James Freymiller
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. August 2022, 5(3): 031006.
Paper No: NDE-21-1052
https://doi.org/10.1115/1.4054357
Published Online: May 10, 2022
View Article titled, Including Mean Stress in the Effective Equivalent Stress of the ASME BPVC Elastic–Plastic Fatigue Method
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Topics: ASME Boiler and Pressure Vessel Code, Cycles, Fatigue, Stress
Journal Articles

Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures

Ed Habtour, Dario Di Maio, Thijs Masmeijer, Laura Cordova Gonzalez, Tiedo Tinga
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2022, 5(2): 021005.
Paper No: NDE-21-1016
https://doi.org/10.1115/1.4052420
Published Online: October 13, 2021
View Article titled, Highly Sensitive Nonlinear Identification to Track Early Fatigue Signs in Flexible Structures
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Topics: Cycles, Fatigue, Vibration, System identification, Damping
Journal Articles

Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue

Subodh Kalia, Jakob Zeitler, Chilukuri K. Mohan, Volker Weiss
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. November 2021, 4(4): 041011.
Paper No: NDE-20-1085
https://doi.org/10.1115/1.4051903
Published Online: August 11, 2021
View Article titled, Machine Learning and Anomaly Detection Algorithms for Damage Characterization From Compliance Data in Three-Point Bending Fatigue
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Topics: Algorithms, Cycles, Damage, Failure, Fatigue, Machine learning, Testing, Stress, Multilayer perceptron, Artificial neural networks
Journal Articles

An Artificial Intelligence/Machine Learning Based Regression-Clustering-Sensor-Fusion Framework for Predicting Unmeasurable Time-Series Strain From Other Sensor Measurements

Subhasish Mohanty, Joseph Listwan
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2022, 5(1): 011001.
Paper No: NDE-20-1073
https://doi.org/10.1115/1.4050592
Published Online: April 19, 2021
View Article titled, An Artificial Intelligence/Machine Learning Based Regression-Clustering-Sensor-Fusion Framework for Predicting Unmeasurable Time-Series Strain From Other Sensor Measurements
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Topics: Artificial intelligence, Cycles, Fatigue testing, Machine learning, Sensors, Time series, Fatigue, Displacement
Journal Articles

Effect of Time-Dependent Strength Recovery of Composite Materials: Quantification Through Higher Order Ultrasonic Non-Linearity Using Lamb Waves

Subir Patra, Hossain Ahmed, Mohammadsadegh Saadatzi, Sourav Banerjee
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2020, 3(1): 011005.
Paper No: NDE-19-1021
https://doi.org/10.1115/1.4045011
Published Online: November 16, 2019
View Article titled, Effect of Time-Dependent Strength Recovery of Composite Materials: Quantification Through Higher Order Ultrasonic Non-Linearity Using Lamb Waves
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Topics: Acoustics, Composite materials, Fatigue, Relaxation (Physics), Stress, Waves, Damage, Experimental design, Cycles
Journal Articles

Experimental Investigation of Second-Harmonic Lamb Wave Generation in Additively Manufactured Aluminum

Benjamin Steven Vien, Wing Kong Chiu, L. R. Francis Rose
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. November 2018, 1(4): 041003–041003-14.
Paper No: NDE-17-1101
https://doi.org/10.1115/1.4040390
Published Online: June 18, 2018
View Article titled, Experimental Investigation of Second-Harmonic Lamb Wave Generation in Additively Manufactured Aluminum
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Topics: Acoustics, Additive manufacturing, Aluminum, Cycles, Fatigue life, Waves, High cycle fatigue, Stress, Fatigue
Journal Articles

Prognostic Health Monitoring Method for Fatigue Failure of Solder Joints on Printed Circuit Boards Based on a Canary Circuit

Kenji Hirohata, Yousuke Hisakuni, Takahiro Omori
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. August 2018, 1(3): 031004–031004-12.
Paper No: NDE-17-1105
https://doi.org/10.1115/1.4039938
Published Online: May 3, 2018
View Article titled, Prognostic Health Monitoring Method for Fatigue Failure of Solder Joints on Printed Circuit Boards Based on a Canary Circuit
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Topics: Circuits, Cycles, Failure, Fatigue, Fatigue failure, Solder joints, Stress, Fatigue life
Journal Articles

Automated In-Process Cure Monitoring of Composite Laminates Using a Guided Wave-Based System With High-Temperature Piezoelectric Transducers

Tyler B. Hudson, Fuh-Gwo Yuan
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research-Article
ASME J Nondestructive Evaluation. May 2018, 1(2): 021008–021008-8.
Paper No: NDE-17-1088
https://doi.org/10.1115/1.4039230
Published Online: February 23, 2018
View Article titled, Automated In-Process Cure Monitoring of Composite Laminates Using a Guided Wave-Based System With High-Temperature Piezoelectric Transducers
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Topics: Composite materials, Cycles, Resins, Sensors, Temperature, Waves, Piezoelectric transducers, Viscosity, Ovens, High temperature