A hybrid probabilistic method to estimate design margin

Weight growth has been a significant factor in nearly every space and launch vehicle development program. In order to account for weight growth, program managers allocate a design margin. However, methods of estimating design margin are not well suited for the task of assigning a design margin for a...

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Bibliographic Details
Main Author: Robertson, Bradford E.
Other Authors: Mavris, Dimitri
Format: Others
Language:en_US
Published: Georgia Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1853/50375
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spelling ndltd-GATECH-oai-smartech.gatech.edu-1853-503752014-02-08T03:24:00ZA hybrid probabilistic method to estimate design marginRobertson, Bradford E.Launch vehicle designSpacecraft designMassWeightMass growthWeight growthMorphological analysisForecastingEngineering mathematicsMathematical analysisSpace vehiclesSpace vehicles Design and constructionWeight growth has been a significant factor in nearly every space and launch vehicle development program. In order to account for weight growth, program managers allocate a design margin. However, methods of estimating design margin are not well suited for the task of assigning a design margin for a novel concept. In order to address this problem, a hybrid method of estimating margin is developed. This hybrid method utilizes range estimating, a well-developed method for conducting a bottom-up weight analysis, and a new forecasting technique known as executable morphological analysis. Executable morphological analysis extends morphological analysis in order to extract quantitative information from the morphological field. Specifically, the morphological field is extended by adding attributes (probability and mass impact) to each condition. This extended morphological field is populated with alternate baseline options with corresponding probabilities of occurrence and impact. The overall impact of alternate baseline options can then be estimated by running a Monte Carlo analysis over the extended morphological field. This methodology was applied to two sample problems. First, the historical design changes of the Space Shuttle Orbiter were evaluated utilizing original mass estimates. Additionally, the FAST reference flight system F served as the basis for a complete sample problem; both range estimating and executable morphological analysis were performed utilizing the work breakdown structure created during the conceptual design of this vehicle.Georgia Institute of TechnologyMavris, Dimitri2014-01-13T16:51:37Z2014-01-13T16:51:37Z2013-122013-11-15December 20132014-01-13T16:51:37ZDissertationapplication/pdfhttp://hdl.handle.net/1853/50375en_US
collection NDLTD
language en_US
format Others
sources NDLTD
topic Launch vehicle design
Spacecraft design
Mass
Weight
Mass growth
Weight growth
Morphological analysis
Forecasting
Engineering mathematics
Mathematical analysis
Space vehicles
Space vehicles Design and construction
spellingShingle Launch vehicle design
Spacecraft design
Mass
Weight
Mass growth
Weight growth
Morphological analysis
Forecasting
Engineering mathematics
Mathematical analysis
Space vehicles
Space vehicles Design and construction
Robertson, Bradford E.
A hybrid probabilistic method to estimate design margin
description Weight growth has been a significant factor in nearly every space and launch vehicle development program. In order to account for weight growth, program managers allocate a design margin. However, methods of estimating design margin are not well suited for the task of assigning a design margin for a novel concept. In order to address this problem, a hybrid method of estimating margin is developed. This hybrid method utilizes range estimating, a well-developed method for conducting a bottom-up weight analysis, and a new forecasting technique known as executable morphological analysis. Executable morphological analysis extends morphological analysis in order to extract quantitative information from the morphological field. Specifically, the morphological field is extended by adding attributes (probability and mass impact) to each condition. This extended morphological field is populated with alternate baseline options with corresponding probabilities of occurrence and impact. The overall impact of alternate baseline options can then be estimated by running a Monte Carlo analysis over the extended morphological field. This methodology was applied to two sample problems. First, the historical design changes of the Space Shuttle Orbiter were evaluated utilizing original mass estimates. Additionally, the FAST reference flight system F served as the basis for a complete sample problem; both range estimating and executable morphological analysis were performed utilizing the work breakdown structure created during the conceptual design of this vehicle.
author2 Mavris, Dimitri
author_facet Mavris, Dimitri
Robertson, Bradford E.
author Robertson, Bradford E.
author_sort Robertson, Bradford E.
title A hybrid probabilistic method to estimate design margin
title_short A hybrid probabilistic method to estimate design margin
title_full A hybrid probabilistic method to estimate design margin
title_fullStr A hybrid probabilistic method to estimate design margin
title_full_unstemmed A hybrid probabilistic method to estimate design margin
title_sort hybrid probabilistic method to estimate design margin
publisher Georgia Institute of Technology
publishDate 2014
url http://hdl.handle.net/1853/50375
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