- Title
- A Bayesian approach to triaxial strain tomography from high-energy X-ray diffraction
- Creator
- Hendriks, J. N.; Wensrich, C. M.; Wills, A.
- Relation
- ARC.DP170102324 http://purl.org/au-research/grants/arc/DP170102324
- Relation
- Strain Vol. 56, Issue 3, no. e12341
- Publisher Link
- http://dx.doi.org/10.1111/str.12341
- Publisher
- Wiley-Blackwell
- Resource Type
- journal article
- Date
- 2020
- Description
- Diffraction of high-energy X-rays produced at synchrotron sources can provide rapid strain measurements, with high spatial resolution, and good penetrating power. With an uncollimated diffracted beam, through-thickness averages of strain can be measured using this technique, which poses an associated rich tomography problem. This paper proposes a Gaussian process (GP) model for three-dimensional strain fields satisfying static equilibrium and an accompanying algorithm for tomographic reconstruction of strain fields from high-energy X-ray diffraction. This method can achieve triaxial strain tomography in three dimensions using only a single axis of rotation. The method builds upon recent work where the GP approach was used to reconstruct two-dimensional strain fields from neutron-based measurements. A demonstration is provided from simulated data, showing the method is capable of rejecting realistic levels of Gaussian noise.
- Subject
- Gaussian processes; residual strain; x-ray tomography; ray diffraction
- Identifier
- http://hdl.handle.net/1959.13/1463297
- Identifier
- uon:46697
- Identifier
- ISSN:0039-2103
- Language
- eng
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