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Conference papers
Challenging Top Level Aircraft Requirements based on operations analysis and data-driven models, application to take-off performance design requirements
Abstract : In an aircraft design process, Top Level Aircraft Requirements (TLAR) summarize the expected performance of future aircraft. They include regulatory, technological, industrial, economic, environment and operational performance requirements. The market analysis, forecasts, and strategic issues are key information in setting these requirements. Some of them can be challenging and may result in overdesigned aircraft, with a direct consequence in increased fuel consumption and cost. As such, TLARs often need to be renegotiated based on sensitivity studies. In designing an aircraft, some of these TLARs can be modeled as constraints in the optimization problem, such as the takeoff requirement consideration. The objective of this paper is to propose a new method to incorporate more information in the renegotiation process by turning some TLARs from constraints to design variables. We analyze the impacts of these takeoff performance requirements on the aircraft operational costs by performing sensitivity analyses. In particular, we investigate the tradeoff caused by the relaxed requirements: the reduction in overall cost associated with the redesigning of aircraft (i.e., no longer overdesigned) and the income loss and potential additional cost due to the reduced maximum payload that has to be sacrificed under some circumstances (e.g., wet runways). To perform this study, we rely on a calibrated conceptual aircraft design library and operational data analysis. The takeoff field length is found to be the parameter having the greatest impact on operation costs. A new data driven objective function taking into account cost penalty resulting from reduced performance is used. The results show that another optimum exists and that combining airplane design and operations can provide new perspectives. Global sensitivity analysis and new generalized index appear promising to bring new information in the design process.
Cited literature [30 references]
https://hal-enac.archives-ouvertes.fr/hal-02708514
Contributor : Laurence Porte <>
Submitted on : Monday, June 1, 2020 - 4:27:52 PM
Last modification on : Tuesday, October 20, 2020 - 10:32:07 AM
Long-term archiving on: : Wednesday, December 2, 2020 - 11:02:41 AM
Contributor : Laurence Porte <>
Submitted on : Monday, June 1, 2020 - 4:27:52 PM
Last modification on : Tuesday, October 20, 2020 - 10:32:07 AM
Long-term archiving on: : Wednesday, December 2, 2020 - 11:02:41 AM
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