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Strain Field Modelling using Gaussian Processes
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report deals with reconstruction of strain fields within deformed materials. The method relies upon data generated from Bragg edge measurements, in which information is gained from neutron beams that are sent through the sample. The reconstruction has been made by modelling the strain field as a Gaussian process, assigned a covariance structure customized by incorporation of the so-called equilibrium constraints. By making use of an approximation scheme well suited for the problem, the complexity of the computations has been significantly reduced. The results from numerical simulations indicates a better performance as compared to previous work in this area.

Place, publisher, year, edition, pages
2017. , 82 p.
Series
UPTEC F, ISSN 1401-5757 ; 17004
Keyword [en]
Bragg edge, strain field, Gaussian process, machine learning
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-315254OAI: oai:DiVA.org:uu-315254DiVA: diva2:1073616
External cooperation
University of Newcastle, Australia
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2017-02-20 Created: 2017-02-12 Last updated: 2017-02-20Bibliographically approved

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Citation style
  • apa
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  • de-DE
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Output format
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