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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 LiHuiru Li

This research aims to address these critical challenges in uncertainty quantification. The objective is to employ data-driven approaches for UQ with physics models.

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

    Keywords

    Uncertainty Quantification Predictive modeling toolsdata driven simulationReliability analyses

    Licence

    CC BY 4.0

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