Date of Award:

8-2024

Document Type:

Dissertation

Degree Name:

Doctor of Philosophy (PhD)

Department:

Mechanical and Aerospace Engineering

Committee Chair(s)

Ryan Berke

Committee

Ryan Berke

Committee

Haoran Wang

Committee

Juhyeong Lee

Committee

James Bay

Committee

Nadia Kouraytem

Abstract

Global efforts towards the development of additively manufactured materials, biomaterials, metamaterials, self-healing materials, and composites have reached a staggering pace. With new materials being developed on a near-daily basis, it is more important than ever to be able to quickly and precisely quantify their mechanical performance. However, one of the most important mechanical properties, fatigue life, is notoriously time consuming to measure. Consequently, fatigue parameters are often calculated based on small sample sizes, resulting in high uncertainty of the measured parameters. In this dissertation a high-throughput approach to fatigue measurements is developed. This technique allows for multiple samples to accumulate fatigue damage simultaneously. With this method it is shown that fatigue lives can be measured nearly four times faster than traditional sequential testing, resulting in substantially more fatigue data for a given number of technician hours. To enable these measurements, several camera-based techniques were developed for assessing strain and fatigue damage in samples during tests. In addition to their applications here, these techniques are believed to have broader applications in the fields of experimental modal analysis and structural health monitoring.

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