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Adaptive Selection of Engine Technology Solution Sets from a Large Combinatorial Space
(Georgia Institute of Technology, 2001)
This paper describes a method to assist in selecting technology concepts from amongst a pool of candidates such that the resulting concepts yield the best compromise between conflicting sign performance and technology risk. ...
Adaptive Selection of Aircraft Engine Technologies in the Presence of Risk
(Georgia Institute of Technology, 2002-06)
The objective of this paper is to describe a method for selecting optimal engine technology solution sets while simultaneously accounting for the presence of technology risk. This method uses a genetic algorithm in conjunction ...
Technology Evaluation Via Loss Management Models Formulated in Terms of Vehicle Weight
(Georgia Institute of Technology, 2000-06)
Mass properties engineering is today an established field and an indispensable part of the design process. Detailed bookkeeping schemes have been developed to track constituent component weights in extreme detail, down to ...
Adaptive Selection of Pareto Optimal Engine Technology Solution Sets
(Georgia Institute of Technology, 2002)
Successful selection of propulsion system technologies for development and incorporation into new engine designs requires careful balance among many competing design objectives (i.e. performance, cost, risk, etc.). One ...
Implementation of Engine Loss Analysis Methods in the Numerical Propulsion System Simulation
(Geogia Institute of Technology, 2005-06-06)
This paper describes the implementation and application of
a new set of thermodynamic loss analysis tools in the
Numerical Propulsion System Simulation. This analysis tool
set is intended to enable fast, accurate ...
Probabilistic Matching of Turbofan Engine Performance Models to Test Data
(Georgia Institute of Technology, 2005-06-06)
This paper describes the development of an improved method for reliable, repeatable, and accurate matching of engine performance models to test data. The centerpiece of this approach is a minimum variance estimator algorithm ...
Lost Thrust Methodology for Gas Turbine Engine Performance Analysis
(Georgia Institute of Technology, 2005-06-06)
This paper presents and evaluates a lost thrust method for analysis of thermodynamic performance in gas turbine engines. This method is based on the definition of a hypothetical ideal engine that is used as a point of ...
A Stochastic Approach to Designing Affordable, Environmentally Acceptable Systems
(Georgia Institute of Technology, 1999-01)
The focus of the work being conducted under this grant is to create a virtual stochastic l environment that will enable designers to make decisions in the presence of uncertainty while considering all aspects relevant to ...
A Probabilistic Design Methodology for Commercial Aircraft Engine Cycle Selection
(Georgia Institute of Technology, 1998-09)
The objective of this paper is to examine ways in which to implement probabilistic design methods in the aircraft engine preliminary design process. Specifically, the focus is on analytically determining the impact of ...
Estimation of Turbofan Engine Performance Model Accuracy and Confidence Bounds
(Georgia Institute of Technology, 2003-09)
This paper explores the application of Inference and Bayesian Updating principles as a means to efficiently incorporate probabilistic data into the turbine engine status model matching process. This approach allows efficient ...