Date of Award
Summer 2026
Access Type
Thesis - Open Access
Degree Name
Doctor of Philosophy in Aerospace Engineering
Department
Aerospace Engineering
Committee Chair
Daewon Kim
Committee Chair Email
kimd3c@erau.edu
First Committee Member
Alberto W. Mello
First Committee Member Email
melloa2@erau.edu
Second Committee Member
Yizhou Jiang
Second Committee Member Email
jiangy5@erau.edu
Third Committee Member
Timothy A. Smith
Third Committee Member Email
smitht1@erau.edu
College Dean
James W. Gregory
Abstract
Future lunar and deep-space missions will require new structural concepts that reduce mass while maintaining reliability. Two technologies that have received significant attention are inflatable habitats and additively manufactured structures; however, challenges remain in their characterization, validation, and long-term monitoring. This dissertation investigates methods to improve the testing and sensing of these non-conventional aerospace structures through the use of advanced photogrammetry and embedded distributed fiber-optic sensors. A color-filtering digital image correlation technique was developed to isolate orthogonal strain directions in woven inflatable structures, providing improved characterization of biaxially loaded softgoods. In addition, methods were developed to embed distributed fiber-optic sensors within additively manufactured pressure vessels, enabling measurement of strain and temperature throughout the structure. Experimental testing demonstrated the ability of these sensors to characterize structural response, monitor thermal behavior under cryogenic conditions, and identify manufacturing defects within the printed component. The results of this work provide new approaches for structural characterization and health monitoring and support the future implementation of sensing technologies in next-generation aerospace systems.
Scholarly Commons Citation
Bender, Scott, "Advancing Sensing and Structural Health Monitoring of Non-Conventional Space Structures" (2026). Doctoral Dissertations and Master's Theses. 1003.
https://commons.erau.edu/edt/1003
GS9 Acceptance Form