Statistical Analysis and Bayesian Methods for Fatigue Life Prediction and Inverse Problems in Linear Time Dependent PDEs with Uncertainties

Statistical Analysis and Bayesian Methods for Fatigue Life Prediction and Inverse Problems in Linear Time Dependent PDEs with Uncertainties

This work employs statistical and Bayesian techniques to analyze mathematical forward models with several sources of uncertainty. The forward models usually arise from phenomenological and physical phenomena and are expressed through regression-based models or partial differential equations (PDEs) a...

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Bibliographic Details
Main Author: Sawlan, Zaid A
Other Authors: Tempone, Raul
Language:en
Published: 2018
Subjects:
uncertainty quantification
inverse problems
bayesian inference
fatigue life prediction
parameter estimation
data assimilation
Online Access:http://hdl.handle.net/10754/629731

Internet

http://hdl.handle.net/10754/629731

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