NDT & E International

NDT&E international publishes peer-reviewed original research on non-destructive testing and evaluation (NDT&E) for the assessment of the structural integrity of engineering structures. The journal covers the established NDT&E sensing modalities of ultrasonics, electromagnetics, radiography as well as optical and thermal methods. The journal also covers research on new NDT&E techniques, and novel applications of established methods. In all cases, the focus should be on the physics and engineering science of the inspection method or application. The expectation is that any modelling or simulation is accompanied by experimental evidence.

The journal covers all application areas in which NDT&E is used including, mechanical, aerospace and civil structures. Other novel application areas are considered where a close link to either traditional applications or techniques can be shown. Application-focused studies should go beyond being examples of best practice and include clear novel features and have wider implications. Whilst NDT&E most commonly relates to periodic inspections, long-term monitoring scenarios are also considered.

The journal considers contributions on novel signal processing and data analysis methods where they can be demonstrated to enhance NDT&E applications. Machine learning is now an accepted tool for the analysis of NDT data. Hence, whilst papers that use machine learning are considered, its use must go beyond best practice and should fundamentally advance the field of NDT. In doing this we would expect the work to include consideration of the physics and engineering science of the inspection problem.

The journal publishes a small number of review submissions, typically by invitation, with initial enquiries to the Editor-in Chief.