Strain Field Modelling using Gaussian Processes

• Main Author: Jidling, Carl
• Format: Others
• Language: English
• Published: Uppsala universitet, Avdelningen för systemteknik 2017
• Subjects: Bragg edge; strain field; Gaussian process; machine learning
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-315254

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.