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2023 50th Annual Review of Progress in Quantitative Nondestructive Evaluation

Front Matter

QNDE2023 Front Matter

QNDE 2023; V001T00A001https://doi.org/10.1115/QNDE2023-FM1

Abstract

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Advanced Modelling for NDE

A Relationship Between the POD Qualification of an Inspector and the Estimated Upper Bound Failure Probability of a Fatigue-Loaded Component When No Crack Was Found

Jeffrey T. Fong, Ned A. Finney, Jr., Steven R. Doctor, N. Alan Heckert

QNDE 2023; V001T01A001https://doi.org/10.1115/QNDE2023-108683

Abstract

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Topics: ASME Boiler and Pressure Vessel Code , Failure , Fatigue , Fracture (Materials) , Inspection , Modeling , Nondestructive evaluation , Pipes , Pressure vessels , Probability

Electromagnetic NDE Techniques

Eddy-Current Evaluation of Platinum Aluminide Coatings

Remo Ribichini, Carlo Giolli, Erica Scrinzi

QNDE 2023; V001T02A001https://doi.org/10.1115/QNDE2023-108501

Abstract

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Topics: Coatings , Eddies (Fluid dynamics) , Eddy currents (Electricity) , Platinum

Emerging Techniques and Technology

Measurement System Analysis of a Novel Phase-Based Ultrasonic NDE Technique for Bond Strength Measurement

Peter Takunju, Matthew Webster, Joseph Zalameda

QNDE 2023; V001T03A001https://doi.org/10.1115/QNDE2023-108496

Abstract

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Topics: Adhesives , Bond strength , Measurement systems , Nondestructive evaluation , Stiffness

Guided Waves

Enhanced Capabilities for Sub-Wavelength Defect Detection using Focussed Lamb Waves

Joseph Cregeen, David Greenshields, Rachel S Edwards

QNDE 2023; V001T04A001https://doi.org/10.1115/QNDE2023-108673

Abstract

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Topics: Flaw detection , Wavelength , Waves

A Deep Learning Based Super-Resolution Approach for the Reconstruction of Full Wavefields of Lamb Waves

Saeed Ullah, Pawel Kudela, Wieslaw Ostachowicz

QNDE 2023; V001T04A002https://doi.org/10.1115/QNDE2023-109860

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Topics: Resolution (Optics) , Waves

Lamb Waves in a Double-Layer Plate with Nonlinear Spring Interface

Junzhen Wang, Jianmin Qu

QNDE 2023; V001T04A003https://doi.org/10.1115/QNDE2023-117735

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Topics: Composite materials , Springs , Waves

Measurement of Ultrasonic Guided Waves in Plates using Low-Cost Equipment

Philip Loveday, Paul Fromme

QNDE 2023; V001T04A004https://doi.org/10.1115/QNDE2023-118344

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Topics: Guided wave ultrasonic testing , Plates (structures) , Waves , Sensors , Structural health monitoring , Ultrasound , Wave propagation , Laser Doppler vibrometers , Monitoring systems , Noise (Sound)

Machine Learning and Statistical Methods in NDE

Comparative Study on Deep Learning Methods for Defect Identification and Classification in Composite Aerostructure Material

Austin Yunker, Rami Lake, Rajkumar Kettimuthu, Zach Kral

QNDE 2023; V001T05A001https://doi.org/10.1115/QNDE2023-108602

Abstract

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Topics: Composite materials , Ultrasonic testing

Learning Tensor Representations to Improve Quality of Wavefield Data

Harsha Vardhan Tetali, Joel B. Harley

QNDE 2023; V001T05A002https://doi.org/10.1115/QNDE2023-108620

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Topics: Algorithms , Artificial neural networks , Dimensions , Generators , Inverse problems , Machine learning , Modeling , Nondestructive evaluation , Optimization , Partial differential equations

Machine Learning-Based Digital Twin Framework for Realistic Guided Wave Signal Generation, Applied to Reliability Assessment and Global Sensitivity Analysis in SHM

Vivek Nerlikar, Roberto Miorelli, Arnaud Recoquillay, Oscar D’Almeida

QNDE 2023; V001T05A003https://doi.org/10.1115/QNDE2023-118498

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Topics: Digital twin , Machinery , Reliability , Sensitivity analysis , Signals , Structural health monitoring , Uncertainty , Waves

NDE/SHM for Oil & Gas Industry

2.5-Dimensional Ultrasonic Imaging for Pipe-Like Damage

Xiaocen Wang, Jian Li, Min Lin, Junkai Tong, Shili Chen, Yang Liu

QNDE 2023; V001T06A001https://doi.org/10.1115/QNDE2023-108524

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Topics: Damage , Pipes , Ultrasonic imaging , Imaging , Aircraft , Corrosion , Dimensions , Safety , Service life (Equipment) , Shapes

Numerical Simulation Study on Nondestructive Evaluation of Surface Crack Defects of Ferromagnetic Materials by Wideband Ultrasonic Surface Waves

Zenghua Liu, Yanhong Guo, Xin Zhao

QNDE 2023; V001T06A002https://doi.org/10.1115/QNDE2023-118506

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Topics: Computer simulation , Ferromagnetic materials , Nondestructive evaluation , Surface cracks , Surface waves (Fluid)

Nonlinear Ultrasonic Techniques for NDE

Entire Torque Range Monitoring of Bolted Joints Via Nonlinear Electromechanical Impedance Spectroscopy (NEMIS)

Runye Lu, Yanfeng Shen

QNDE 2023; V001T07A001https://doi.org/10.1115/QNDE2023-108287

Abstract

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Topics: Acoustics , Bolted joints , Electrochemical impedance spectroscopy , Torque

Nuclear Power NDE

Frequency Domain Reflectometry Cable Inspection Simulation

S.W. Glass, M.P. Spencer, A. Sriraman, J. Son, L.S. Fifield

QNDE 2023; V001T08A001https://doi.org/10.1115/QNDE2023-107810

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Topics: Cables , Inspection , Simulation , Insulation , Water , Damage , Digital twin , Finite element analysis , Reflection , Signals

Structural Health Monitoring

Nonlinear Vibration-Based Quantitative Evaluation of Fatigue Cracks

Wei Xu, Qitian Lu, Maosen Cao, Wiesław Ostachowicz

QNDE 2023; V001T09A001https://doi.org/10.1115/QNDE2023-107857

Abstract

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Topics: Fatigue cracks , Vibration

A Data-Driven Method for Average Grain Size Assessment using Ultrasonic Guided Wave

Chenjun Gao, Peipei Sun, Xuefei Peipei, Jingjing He

QNDE 2023; V001T09A002https://doi.org/10.1115/QNDE2023-108412

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Topics: Grain size , Nondestructive evaluation , Waves

Damage Simulation Method for Adhesively Bonded Composite Structures Based on XFEM and Cohesive Hybrid Model

Yang Zhang, Rohan Soman, Maciej Radzieński, Wiesław Ostachowicz

QNDE 2023; V001T09A003https://doi.org/10.1115/QNDE2023-108458

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Topics: Composite materials , Crack propagation , Damage , Simulation

Assessment of Patellar Health Condition Through Wearable Devices: A combination of new material and machine-learning classifier

Zilin Jiang, Wenchao Zhan, Wenxi Zhang, Chenjun Gao, Ziwei Fang, Jingjing He, Wei Sun, Chang Wen, Jing Lin

QNDE 2023; V001T09A004https://doi.org/10.1115/QNDE2023-108661

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Topics: Machine learning , Sensors , Wearable devices

Acoustic Emission Source Localization in Plates Through Support Vector Machine with Genetic Optimization

Nur M. M. Kalimullah, Shivam Ojha, Amit Shelke, Anowarul Habib

QNDE 2023; V001T09A005https://doi.org/10.1115/QNDE2023-108711

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Topics: Acoustic emissions , Optimization , Plates (structures) , Support vector machines

Damage Localization in Plates Using Energy of Acoustic Emission through Gaussian Process Regression

Shivam Ojha, Amit Shelke, Shashi Bhushan Tiwari, B Santhosh, Shaji Thomas, Anowarul Habib

QNDE 2023; V001T09A006https://doi.org/10.1115/QNDE2023-111280

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Topics: Acoustic emissions , Acoustics , Damage , Plates (structures) , Sensors , Signals , Anisotropy , Carbon , Carbon reinforced plastics , Composite materials

Self-Sensing Piezoelectric Composite Structures using Disperse Electro-Mechanical Impedance Measurements

Shulong Zhou, Yanfeng Shen, Yuan Tian, Bao Wang, Chunquan Wang

QNDE 2023; V001T09A007https://doi.org/10.1115/QNDE2023-118316

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Topics: Composite materials , Electrochemical impedance spectroscopy , Damage , Manufacturing , Active materials , Bearings , Composite building materials , Finite element model , Optimization , Piezoelectricity