Title:
Development of a Methodology for Parametric Analysis of STOL Airpark Geo-Density
Development of a Methodology for Parametric Analysis of STOL Airpark Geo-Density
| dc.contributor.author | Robinson, Joseph N. | |
| dc.contributor.author | Sokollek, Max-Daniel | |
| dc.contributor.author | Justin, Cedric Y. | |
| dc.contributor.author | Mavris, Dimitri N. | |
| dc.contributor.corporatename | Georgia Institute of Technology. Aerospace Systems Design Laboratory | en_US |
| dc.date.accessioned | 2019-10-11T18:05:10Z | |
| dc.date.available | 2019-10-11T18:05:10Z | |
| dc.date.issued | 2018-06 | |
| dc.description.abstract | Vehicles designed for urban air mobility (UAM)or on-demand mobility (ODM) applications typically adopt an architecture enabling vertical takeoff and landing (VTOL) capabilities. UAM or ODM systems featuring these capabilities typically have a smaller ground footprint but are subject to a number of performance compromises that make sizing and optimizing the vehicles more challenging. These design challenges can be further compounded when additional environmental considerations are taken into account and in particular if electric propulsion is considered. Alternative architectures such as short takeoff and landing (STOL) and super-short takeoff and landing (SSTOL) vehicles are thus investigated because they present possible advantages in terms of energy efficiency, overall vehicle performance, and noise footprint. However, the larger ground footprint of the infrastructure necessary to operate these systems means that these systems may be more difficult to integrate into a urban and suburban environment. One objective of this research is to estimate the geo-density of airparks suitable for STOL and SSTOL operations based on vehicle performance and ground footprint parameters. In turn, this helps establish requirements for the field performances of STOL and SSTOL vehicles to be considered for ODM and UAM applications. This research proposes and interactive and parametric design and trade-off analysis environment to help decision makers assess the suitability of candidate cities for STOL and SSTOL operations. Preliminary results for the Miami metropolitan area show that an average airpark geo-density of 1.66 airparks per square mile can be achieved with a 300 foot long runway. | en_US |
| dc.identifier.citation | Robinson, J. N., Sokollek, M.-D. R., Justin, C. Y., & Mavris, D. N. (2018). Development of a Methodology for Parametric Analysis of STOL Airpark Geo-Density. In AIAA AVIATION Forum. 2018 Aviation Technology, Integration, and Operations Conference. https://doi.org/10.2514/6.2018-3054 | en_US |
| dc.identifier.doi | https://doi.org/10.2514/6.2018-3054 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/61916 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.relation.ispartofseries | ASDL; | en_US |
| dc.subject | Urban Air Mobility (UAM) | en_US |
| dc.subject | Super-short takeoff and landing (SSTOL) | en_US |
| dc.title | Development of a Methodology for Parametric Analysis of STOL Airpark Geo-Density | en_US |
| dc.type | Text | |
| dc.type.genre | Paper | |
| dspace.entity.type | Publication | |
| local.contributor.author | Mavris, Dimitri N. | |
| local.contributor.corporatename | Daniel Guggenheim School of Aerospace Engineering | |
| local.contributor.corporatename | Aerospace Systems Design Laboratory (ASDL) | |
| local.contributor.corporatename | College of Engineering | |
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