Experimental data-driven parameter quantification of structures for research and education

Fluid-structure interactions (FSI) studies the relationship between the solid and fluid dynamics of a fluid-loaded structure. From plane wings to bridges, it is imperative for design engineers to recognize its effects to correctly predict structural parameters. However, current engineering curricula routinely fail to communicate this to undergraduate engineers. At the same time, theory and advanced experimentation in FSI lags decades behind advancements made in the structural dynamics field. Two approaches were taken to address these issues.

Publication Details

Journal
Iowa Research Online (The University of Iowa)
Published
2025-04-29
DOI
https://doi.org/10.25820/etd.007901
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Experimental data-driven parameter quantification of structures for research and education

Iowa Research Online (The University of Iowa)
Model Reduction and Neural Networks
article

Experimental data-driven parameter quantification of structures for research and education

article en

Abstract

Fluid-structure interactions (FSI) studies the relationship between the solid and fluid dynamics of a fluid-loaded structure. From plane wings to bridges, it is imperative for design engineers to recognize its effects to correctly predict structural parameters. However, current engineering curricula routinely fail to communicate this to undergraduate engineers. At the same time, theory and advanced experimentation in FSI lags decades behind advancements made in the structural dynamics field. Two approaches were taken to address these issues.

Iowa Research Online (The University of Iowa)
Quality Education
Openalex Percentile: Top 63%
Model Reduction and Neural Networks
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Experimental data-driven parameter quantification of structures for research and education · Iowa Research Online (The University of Iowa) (2025) | TGRS Research Map | TGRS