Conference proceeding
Parametric Uncertainty Quantification of Aviation Environmental Design Tool (AIAA 2018-3101)
American Institute of Aeronautics and Astronautics. AIAA Conference Papers
Multidisciplinary Analysis and Optimization Conference (Atlanta, Georgia, 06/25/2018–06/29/2018)
01/01/2018
Handle:
https://hdl.handle.net/2376/119901
Appears in Aviation Sustainability Center (ASCENT)
Abstract
Aviation Environmental Design Tool (AEDT), developed by the US Federal Aviation Administration, is a comprehensive computer model that estimates environmental impacts from aviation including fuel burn, emissions, and noise. In this study, a parametric uncertainty and sensitivity analysis are performed to identify the main contributors to AEDT output uncertainties and to gain better insights on the areas of future AEDT improvements. The study is performed in four steps. First, the sources of the uncertainties that may impact the key environmental metrics are characterized. The AEDT input parameters are grouped into categories of aircraft terminal area performance, aircraft cruise performance, noise characteristics, engine emissions, and airport weather. Their uncertainty bounds, probability distributions, and the correlations are defined. Second, a sensitivity analysis quantifies the impacts of independent changes of the input parameters to the key environmental metrics. Utilizing artificial neural network based surrogate models, Monte Carlo Simulations are performed to obtain the probability distributions of the environmental metrics. Applying Copulas theory, joint probability distributions of input parameters are modeled to capture the impact of correlations among the input parameters. Finally, Global Sensitivity Analyses provide Total Sensitivity Indices that quantify the significance of input probability distributions to variance in output distributions.
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Details
- Title
- Parametric Uncertainty Quantification of Aviation Environmental Design Tool (AIAA 2018-3101)
- Creators
- Dongwook Lim - Georgia Institute of TechnologyYongchang Li - Georgia Institute of TechnologyMatthew J. LeVine - Georgia Institute of TechnologyMichelle Kirby - Georgia Institute of TechnologyDimitri N. Mavris - Georgia Institute of Technology
- Publication Details
- American Institute of Aeronautics and Astronautics. AIAA Conference Papers
- Conference
- Multidisciplinary Analysis and Optimization Conference (Atlanta, Georgia, 06/25/2018–06/29/2018)
- Academic Unit
- Modeling Tools; Aviation Sustainability Center (ASCENT)
- Publisher
- American Institute of Aeronautics and Astronautics
- Grants
- 13-C-AJFE-GIT-14, 19, 29 and 30, Federal Aviation Administration (United States, Washington) - FAA
- Identifiers
- 99900621890601842
- Language
- English
- Resource Type
- Conference proceeding