Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds

Multifidelity Model Calibration in Structural Dynamics Using Stochastic Variational Inference on Manifolds

Bayesian techniques for engineering problems, which rely on Gaussian process (GP) regression, are known for their ability to quantify epistemic and aleatory uncertainties and for being data efficient. The mathematical elegance of applying these methods usually comes at a high computational cost when...

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Bibliographic Details
Main Authors: Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Liping Wang
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Entropy
Subjects:
Gaussian processes
stochastic variational inference
multifidelity modeling
manifold gradient ascent
structural dynamics
vibration torsion
Online Access:https://www.mdpi.com/1099-4300/24/9/1291

Internet

https://www.mdpi.com/1099-4300/24/9/1291

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