Advanced Concept Studies for Supersonic Commercial Transports Entering Service in 2030-35 (N+3)
Notice bibliographique
Résumé
NASA has chartered teams to study commercial transports that can overcome significant performance and environmental challenges for the benefit of the general public. The key technical objective of this effort was to generate promising supersonic concepts for the 2030-2035 timeframe and to develop plans for maturing the technologies required to make those concepts a reality. The N+3 program is aligned with NASA's Supersonic Project and is focused on providing alternative system-level solutions capable of overcoming the efficiency, environmental, and performance barriers to practical supersonic flight. 1.0 Summary Lockheed Martin Aeronautics Company (LM Aero), working in conjunction with seven industry and academia sub-contracting teammates, executed an 18 month program responsive to the NASA sponsored N+3 NRA: ―Advanced Concept Studies for Supersonic Commercial Transports Entering Service in the 2030-2035 Period.‖ ‗N+3' denotes three generations beyond the current commercial transport fleet. The N+3 program is aligned with NASA's Supersonic Project and is focused on providing alternative system-level solutions capable of overcoming the environmental, efficiency and performance barriers to practical supersonic flight. The environmental goals focus on low sonic boom, airport noise and cruise emissions. The program considered promising concepts and enabling technologies in an extensively integrated analysis process required particularly to achieve low sonic boom with efficiency. The reason for investigating alternative system-level solutions has to do with the projected status of our air transportation system. In addition to FAA regulations, the Next Generation (NextGen) Air Traffic System (ATS) congestion levels are a concern as they are expected to increase by a factor of 2 to 3 in the 2030 timeframe. Understanding how supersonic aircraft affect future congestion levels requires a system of systems analysis that integrates vehicle design, operating environment, and economic interaction into a single process. LM Aero worked with a sister company, Transportation Security & Solutions (TSS), and Purdue University to assess the value that a supersonic transport concept vehicle brings to the NextGen ATS. A fast time modeling and simulation study done by TSS revealed that commercial supersonic vehicles will not impact future airport capacity. However, supersonic air vehicles in the 2030 timeframe will exert additional demand for airport operations. Purdue University simulated numerous future Civil Air Transport System scenarios, allocating N+3 vehicles to maximize system-wide productivity while also computing fleet-wide emissions and direct operating costs. These results showed that the total value of time saved by passengers on N+3 supersonic transports exceed the added operating costs incurred by the aircraft. These system-level scenarios showed that supersonic transport is a viable solution for increased productivity and promotes the renewed viability of supersonic travel. Our extended team contributed to a preferred supersonic configuration and developed plans for maturing the identified, enabling technologies required to meet the N+3 performance and environmental goals. Working in conjunction with GE Global Research Center (GRC), John Hansman from MIT, Helen Reed & Bill Saric from Texas A&M, Wyle Laboratories, Purdue, and Penn State - an initial low-boom, supersonic configuration was used to assess potential airframe and propulsion technologies that were projected to meet or exceed the future supersonic boom, noise, emissions, cruise speed, range, payload, and fuel efficiency goals. Multi-Disciplinary Analysis and Optimization (MDAO) showed it was possible to achieve the N+3 boom goal with an ―inverted-V‖, engine-under wing configuration. Further sizing and quantified analysis proved that using revolutionary technologies enabled this configuration to achieve the range, payload, and cruise speed goals.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».