DATA-DRIVEN APPROACHES FOR UNCERTAINTY QUANTIFICATION WITH PHYSICS MODELS

Description

<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>

Links & Downloads

1. 10.25394/pgs.25668834.v1

Tags

Mechanical engineering asset management

data driven simulation

Reliability analyses

Additional Fields

Identifer	oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/25668834
Date	25 April 2024
Creators	Huiru Li (18423333)
Source Sets	Purdue University
Detected Language	English
Type	Text, Thesis
Rights	CC BY 4.0
Relation	https://figshare.com/articles/thesis/DATA-DRIVEN_APPROACHES_FOR_UNCERTAINTY_QUANTIFICATION_WITH_PHYSICS_MODELS/25668834