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Keywords: Gaussian process regression
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Proceedings Papers

Application of Gaussian Process Regression for the Accuracy Assessment of a Three-Dimensional Strain-Based Model

Yueying Li, Yong Li, Sherif Hassanien, Chike Okoloekwe, Samer Adeeb
Proc. ASME. PVP2019, Volume 3: Design and Analysis, V003T03A098, July 14–19, 2019
Paper No: PVP2019-94039
https://doi.org/10.1115/PVP2019-94039
... in the recently developed model, a series of nonlinear FEA pipe indentation simulations were conducted using the finite element analysis tool, ABAQUS and compared with the analytical prediction. This paper presents an application of a Bayesian machine learning method named Gaussian Process Regression (GPR...
View Paper titled, Application of <span class="search-highlight">Gaussian</span> <span class="search-highlight">Process</span> <span class="search-highlight">Regression</span> for the Accuracy Assessment of a Three-Dimensional Strain-Based Model
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Topics: Computer simulation, Engineering simulation, Errors, Finite element analysis, Geometry, Machine learning, Pipelines, Pipes, Probability, Simulation