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Strain
Article
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Strain
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Implementation of traction constraints in Bragg‐edge neutron transmission strain tomography

Authors: Johannes Hendriks; Alex Gregg; Chris Wensrich; Adrian Wills;

Implementation of traction constraints in Bragg‐edge neutron transmission strain tomography

Abstract

AbstractSeveral recent methods for tomographic reconstruction of stress and strain fields from Bragg‐edge neutron strain images have been proposed in the literature. This paper presents an extension of a previously demonstrated approach based on Gaussian process regression that enforces equilibrium in the method. This extension incorporates knowledge of boundary conditions, primarily boundary tractions, into the reconstruction process. This is shown to increase the rate of convergence and is more tolerant of systematic errors that may be present in experimental measurements. An exact expression for a central calculation in this method is also provided which avoids the need for the approximation scheme that was previously used. Convergence of this method for simulated data is compared to existing approaches and a reconstruction from experimental data is provided. Validation of the results to conventional constant wavelength strain measurements and comparison to prior methods show a significant improvement.

Country
Australia
Related Organizations
Keywords

Condensed Matter - Materials Science, Physics - Instrumentation and Detectors, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, residual stress, Bragg-edge neutron imaging, Instrumentation and Detectors (physics.ins-det), strain tomography, 518, Gaussian process regression

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
Green
hybrid