Validating the Use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields.

ABSTRACT: Probing the stress state using a high density of measurement points is time intensive and presents a limitation for what is experimentally feasible. Alternatively, individual strain fields used for determining stresses can be reconstructed from a subset of points using a Gaussian process regression (GPR). Results presented in this paper evidence that determining stresses from reconstructed strain fields is a viable approach for reducing the number of measurements needed to fully sample a component's stress state. The approach was demonstrated by reconstructing the stress fields in wire-arc additively manufactured walls fabricated using either a mild steel or low-temperature transition feedstock. Effects of errors in individual GP reconstructed strain maps and how these errors propagate to

SUBMITTER: Fancher CM 

PROVIDER: S-EPMC10224383 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature