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DATA-DRIVEN APPROACHES FOR UNCERTAINTY QUANTIFICATION WITH PHYSICS MODELS
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posted on 2024-04-25, 15:26
authored by
Huiru Li
Huiru Li
<p dir="ltr">This research aims to address these critical challenges in uncertainty quantification. The objective is to employ data-driven approaches for UQ with physics models.</p>
History
Degree Type
Doctor of Philosophy
Department
Mechanical Engineering
Campus location
West Lafayette
Advisor/Supervisor/Committee Chair
Xiaoping Du
Advisor/Supervisor/Committee co-chair
Jitesh H. Panchal
Additional Committee Member 2
Honglang Wang
Additional Committee Member 3
Huidan Yu
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Categories
Mechanical engineering not elsewhere classified
Numerical modelling and mechanical characterisation
Mechanical engineering asset management
Keywords
Uncertainty Quantification Predictive modeling tools
data driven simulation
Reliability analyses
Licence
CC BY 4.0
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