Author

Mason Tudor

Date of Award

2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Aerospace Systems Engineering

Committee Chair

Gang Wang

Committee Member

Robert Frederick

Research Advisor

L. Dale Thomas

Subject(s)

Liquid propellant rocket engines--Design and construction, Liquid propellant rocket engines--Reliability

Abstract

This thesis introduces a reliability-based design methodology aimed at mitigating costs incurred during the Test-Fail-Fix cycle for Liquid Rocket Engines (LREs) by addressing the limitations of the standard Factor of Safety (FoS) approach. By integrating a neural network informed by a structural model into a Bayesian framework for uncertainty quantification, the methodology enables the characterization of structural margin and early analysis of failure risks in the design lifecycle. A generalized 3D component geometry is subjected to typical LRE loading environments within Finite Element Analysis software to gather data for stress and strength distributions. These distributions serve as a foundation for assessing the design's adequacy and facilitating informed decision-making. The results highlight improvements in reliability, leading to an effective mitigation technique for the Fail-Fix portion of the Test-Fail-Fix cycle. This research emphasizes the importance of adopting probabilistic approaches in design, ensuring alignment with reliability or mass-saving requirements while reducing overall costs.

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