Submissions
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About
Quantitative nondestructive evaluation (QNDE) is a highly interdisciplinary technology that involves the use of various techniques to detect both manufacturing and service related flaws in materials and structures which are important to safety in essentially all industries. The Annual Review is a week-long technical meeting in which both advances in fundamental knowledge and new engineering applications in several measurement technologies—ultrasonics, eddy currents,X-rays, thermosonics and thermography, among others—are reported and discussed. For more than four decades, the QNDE Conference has been identified as the world's leading research/engineering conference in this specialized engineering field.Focus and Scope
We are accepting extended (3-page) abstracts for presentations accepted and presented at the 46th Annual Review of Progress in Quantitative Nondestructive Evaluation.Copyright Notice
Authors who publish abstracts from the Review of Progress in Quantitative Nondestructive Evaluation through the Iowa State University Digital Press retain ownership of the copyright in their abstracts and may publish their abstract or full articles based on the work discussed in their abstract elsewhere. In order to publish, manage, and preserve the abstract, authors grant Iowa State University non-exclusive permission to reproduce, distribute, make derivative works of, and display the abstract.Licences
The following licences are allowed:
- Copyright
© the author(s). All rights reserved.
Sections
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Section or article type |
Public Submissions |
Peer Reviewed |
Indexed |
|---|---|---|---|
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Radiography, Digital Radiography and Computed Tomography |
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Guided Waves |
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New QNDE Technology and Techniques and QNDE in Design |
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Structural Health Monitoring and Prognostics |
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Nuclear Power NDE |
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Thermography and Thermosonics |
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NDE of Composites |
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Resonant NDE and Ultrasonic Scattering |
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NDE-SHM for Industry |
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Fundamentals of all QNDE Methods |
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Ultrasonic Phased Arrays |
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Additive Manufacturing and other Advances |
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Eddy Current NDE |
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None |
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Materials and Microstructure Characterization and Meta-materials |
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Machine-learning, AI, and Statistical methods in NDE |
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Stress-wave based NDE for Structures |
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Digital Twin and Data Integration |
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Signal Processing and Image Analysis |
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Sensors, Transducers and Probes |
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Micowave, Millimeter and THz Waves |
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Model-assisted Probability of Detection |
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Nonlinear Ultrasonics |
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NDE and NDT for Infrastructure—Civil Engineering |