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Risk Quantification and Reliability Based Design Optimization in Reusable Launch Vehicles

King, Jason Maxwell
http://rave.ohiolink.edu/etdc/view?acc_num=wright1291160215

Abstract Details

2010, Master of Science in Engineering (MSEgr), Wright State University, Mechanical Engineering.
Due to the inherent natural variability of parameters with reusable launch vehicles, design considerations without use of a reliability or safety index may be unreliable and vulnerable to vehicle failures. Generally in preliminary air vehicle design little information is known regarding design variable uncertainties, consequently requiring a technique that can quantify epistemic uncertainties. Evidence Theory is employed to accomplish this task resulting in a reliability bound of belief and plausibility. Due to the discontinuous nature of the belief and plausibility function it is necessary to implement a continuous function known as plausibility decision to be used to calculate sensitivities that can be implemented in a gradient-based reliability-based design optimization algorithm. This research develops a new plausibility decision approximation that calculates sensitivities with respect to uncertain design variables without introducing extra computational cost or numerical integration. This new metric was demonstrated in a sensitivity analysis as well as a reliability based design optimization of the aeroelastic flutter reliability of a reusable launch vehicle's wing.
Ramana Grandhi, PhD (Advisor)
Scott Thomas, PhD (Committee Member)
Ronald Taylor, PhD (Committee Member)
Ramana Grandhi, PhD (Committee Member)
97 p.
Aerospace Engineering; Design; Engineering; Mechanical Engineering
reusable launch vehicle; sensitivities; plausibility decision; reliability; flutter; reliability based design optimization; epistemic; uncertainties; Evidence Theory

Recommended Citations

Citations

  • King, J. M. (2010). Risk Quantification and Reliability Based Design Optimization in Reusable Launch Vehicles [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1291160215

    APA Style (7th edition)

  • King, Jason. Risk Quantification and Reliability Based Design Optimization in Reusable Launch Vehicles. 2010. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1291160215.

    MLA Style (8th edition)

  • King, Jason. "Risk Quantification and Reliability Based Design Optimization in Reusable Launch Vehicles." Master's thesis, Wright State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=wright1291160215

    Chicago Manual of Style (17th edition)

wright1291160215
746
© 2010, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.