Model assisted qualification of NDE techniques

Ballisat, Alexander; Wilcox, Paul D.; Smith, Robert A.; Hallam, David

doi:10.1063/1.4974720

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Past NDE research efforts worth highlighting given close links to the vision of NDE 4.0, without necessarily having been carried out in that context, include work on modelassisted probability of detection (MAPOD) [17], model-assisted inspection qualification [18][19][20], model-assisted data analysis [21][22], inspection optimization [23], data fusion [24], as well as inspection-based simulation [25][26][27] and machine leaning, even applied to a traditional, "wet" inspection technique [28]. Work on advanced robotic inspection and un-conventional inspection delivery systems, including collaborative robots (cobots) and unmanned aerial vehicles / drones, are worth highlighting, too, performed especially by the research and technology organization TWI and Strathclyde University [4,[29][30].…”

Section: Past Nde Projects Relevant To Nde 40mentioning

confidence: 99%

Advances in the UK Toward NDE 4.0

Brierley

Smith

Turner

et al. 2020

Research in Nondestructive Evaluation

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In the UK, the NDE community is making a coordinated effort to underpin and enable the full benefits of the large-scale trend towards comprehensive digitalization and automation of industrial processes and assets, frequently referred to as "Industry 4.0". Certain facets of what is now considered to be NDE 4.0 have been the subject of research for some time and have already gained industrial traction, while others are quite new, with unexplored potential and pitfalls. However, in these areas there is scope for learning from progress in fields outside of, but related to, NDE such as dimensional metrology. This paper reviews progress to date based on UK activities, considers some planned and potential research tasks in this domain, and highlights the major challenges the NDE community must tackle. In particular, as interoperability and data reuse are key features of Industry 4.0 practices, international and cross-domain efforts on data format standardization are needed. It is clear that, without the NDE community stepping up to the challenge, much of Industry 4.0 cannot be realized; yet if the NDE 4.0 vision is implemented comprehensively, NDE has the potential to become more capable, more valuable, and therefore more highly valued.

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Section: Past Nde Projects Relevant To Nde 40mentioning

confidence: 99%

Advances in the UK Toward NDE 4.0

Brierley

Smith

Turner

et al. 2020

Research in Nondestructive Evaluation

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Global Sensitivity Analysis of Ultrasonic Testing Simulations of Slot-Like Defects With Multifidelity Modeling

Liu,

Miorelli,

Leifsson

et al. 2024

Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

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In this paper, an efficient global sensitivity analysis (GSA) method for simulation-based ultrasonic testing (UT) of slot-like defects using multifidelity modeling with novel termination criterion is proposed. GSA quantifies the effect of quantities of interest with variability (e.g., position, height, and angle) on the output (e.g., amplitude). GSA with Sobol' indices requires the use of Monte Carlo simulations (MCS) when dealing with nonlinear problems having many parameters. It is impractical to perform GSA directly on high-fidelity physics-based models due to their long evaluation times and the large number of required samples. Multifidelity methods construct surrogate models based on data from an accurate high-fidelity model (HFM) and fast low-fidelity models (LFMs). The multifidelity surrogates evaluate quickly and can be used in lieu of the HFM to accelerate the GSA. Conventional multifidelity methods construct the surrogate to meet a prespecified error metric before using it within an analysis. This requires a separate set of testing data and an often arbitrary error metric threshold. To avoid these, a novel multifidelity modeling termination criterion for GSA is proposed that is based on the absolute relative change of the Sobol' indices. The proposed approach is demonstrated on a simulated UT case inspecting a slot-like defect with three uncertainty variables. The results show a potential for significant reduction in computational cost compared with conventional approaches.

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Model assisted qualification of NDE techniques

Cited by 2 publications

References 5 publications

Advances in the UK Toward NDE 4.0

Advances in the UK Toward NDE 4.0

Global Sensitivity Analysis of Ultrasonic Testing Simulations of Slot-Like Defects With Multifidelity Modeling

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