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Journal Articles

Guided Waves in Composite Overwrapped Pressure Vessels and Considerations for Sensor Placement Towards Structural Health Monitoring – An Experimental Study

Accepted Manuscript
Jan Heimann, Samir Mustapha, Bengisu Yilmaz, Jens Prager
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation.
Paper No: NDE-24-1042
https://doi.org/10.1115/1.4067667
Published Online: January 15, 2025
View Article titled, Guided Waves in Composite Overwrapped Pressure Vessels and Considerations for Sensor Placement Towards Structural Health Monitoring – An Experimental Study
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Topics: Composite materials, Nondestructive evaluation, Pressure vessels, Sensor placement, Structural health monitoring, Waves, Damage, Design, Sensor networks, Density
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

Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning

Accepted Manuscript
Bowen Yang, Chenxu Yang, Junzhou Huo, Xiangfeng Si
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation.
Paper No: NDE-23-1029
https://doi.org/10.1115/1.4065819
Published Online: June 24, 2024
View Article titled, Research on Advanced Prediction of Major Equipment Fatigue Load Based on Deep Learning
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Topics: Deep learning, Fatigue, Nondestructive evaluation, Stress, Convolutional neural networks, Errors, Fatigue life, Ablation (Vaporization technology), Aerospace engineering, Numerical analysis
Journal Articles

Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel

Bharath Basti Shenoy, Zi Li, Lalita Udpa, Satish Udpa, Yiming Deng, Thiago Seuaciuc-Osorio
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): 041010.
Paper No: NDE-21-1044
https://doi.org/10.1115/1.4055992
Published Online: November 8, 2022
View Article titled, Magnetic Barkhausen Noise Technique for Fatigue Detection and Classification in Martensitic Stainless-Steel
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Topics: Fatigue, Noise (Sound), Stainless steel, Feature extraction, Nondestructive evaluation, Signals
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

Impact of Manufacturing Flaw on Fatigue Damage Development and on Stiffness Variation in Woven Composite Plates

Nidhal Bouslama, Nicolas Quaegebeur, Ahmed Maslouhi, Patrice Masson
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): 031009.
Paper No: NDE-21-1019
https://doi.org/10.1115/1.4054656
Published Online: June 20, 2022
View Article titled, Impact of Manufacturing Flaw on Fatigue Damage Development and on Stiffness Variation in Woven Composite Plates
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Topics: Damage, Fatigue, Fatigue life, Manufacturing, Stiffness, Ultrasonics, Acoustic emissions, Fatigue damage, Delamination, Composite materials
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

Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples

Zi Li, Bharath Basti Shenoy, Lalita Udpa, Satish Udpa, Yiming Deng
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): 041004.
Paper No: NDE-20-1082
https://doi.org/10.1115/1.4050842
Published Online: April 28, 2021
View Article titled, Magnetic Barkhausen Noise Technique for Early-Stage Fatigue Prediction in Martensitic Stainless-Steel Samples
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Topics: Fatigue, Noise (Sound), Artificial neural networks, Principal component analysis, Uncertainty, Stainless steel, Signals, Fatigue life
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

Imaging Fatigue Damage Precursors Based on Nonlinear Phased Array Ultrasonic Measurements of Diffuse Field

Gheorghe Bunget, James Rogers, Cristina J. Bunget, Analeia E. Lavitz, Stanley Henley
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. February 2021, 4(1): 011004.
Paper No: NDE-20-1011
https://doi.org/10.1115/1.4047415
Published Online: June 25, 2020
View Article titled, Imaging Fatigue Damage Precursors Based on Nonlinear Phased Array Ultrasonic Measurements of Diffuse Field
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Topics: Aluminum, Damage, Fatigue damage, Imaging, Probes, Ultrasonic measurement, Service life (Equipment), Ultrasonics, Fatigue, Waves
Journal Articles

Decomposition Method to Detect Fatigue Damage Precursors in Thin Components Through Nonlinear Ultrasonic With Collinear Mixing Contributions

Gheorghe Bunget, Stanley Henley, Chance Glass, James Rogers, Matthew Webster, Kevin Farinholt, Fritz Friedersdorf, Marc Pepi, Anindya Ghoshal, Siddhant Datta, Aditi Chattopadhyay
Journal: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
Publisher: ASME
Article Type: Research Papers
ASME J Nondestructive Evaluation. May 2020, 3(2): 021003.
Paper No: NDE-19-1039
https://doi.org/10.1115/1.4045960
Published Online: February 5, 2020
View Article titled, Decomposition Method to Detect Fatigue Damage Precursors in Thin Components Through Nonlinear Ultrasonic With Collinear Mixing Contributions
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Topics: Damage, Dislocations, Fatigue, Fatigue damage, Fatigue life, Fracture (Materials), Reflection, Signals, Waves, Acoustics
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
Open the PDF for Effect of Time-Dependent Strength Recovery of Composite Materials: Quantification Through Higher Order Ultrasonic Non-Linearity Using Lamb Waves in another window
Topics: Acoustics, Composite materials, Fatigue, Relaxation (Physics), Stress, Waves, Damage, Experimental design, Cycles
Journal Articles

Weibull and Bootstrap-Based Data-Analytics Framework for Fatigue Life Prognosis of the Pressurized Water Nuclear Reactor Component Under Harsh Reactor Coolant Environment

Jae Phil Park, Subhasish Mohanty, Chi Bum Bahn, Saurin Majumdar, Krishnamurti Natesan
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): 011004.
Paper No: NDE-19-1026
https://doi.org/10.1115/1.4045162
Published Online: November 5, 2019
View Article titled, Weibull and Bootstrap-Based Data-Analytics Framework for Fatigue Life Prognosis of the Pressurized Water Nuclear Reactor Component Under Harsh Reactor Coolant Environment
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Topics: Fatigue life, Modeling, Pressurized water reactors, Water, Maximum likelihood estimation, Electromagnetic scattering, Fatigue, Uncertainty
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