Determining New System Design Requirements to Optimize Fleet Level Metrics under Uncertainty

Abstract

Traditional approaches to design and optimize a new system often do not consider how the operator will use this new system alongside the other existing systems. This hand-off between the designs of the new system and how this new system operates with the group of systems, leads to the sub-optimal performance of the new system when measured with respect to system-level objective. In the case of aircraft design, choices made to meet a set of requirements dictate the performance of the aircraft, and this aircraft performance in turn influences how the operator might use the aircraft. Further, the presence of uncertainties in predictions of the new aircraft performance and costs and uncertainties in the amount of payload / passenger to transport further exacerbate the problem of determining these requirements. This research improves upon prior work by extending a prior developed subspace decomposition framework to enable capability that addresses multi-domain uncertainties. The framework addresses uncertainties arising in one domain and its propagation to the next connected domain and employs a Reliability-Based Design Optimization (RBDO) approach to address the uncertainties arising from the aircraft design optimization subspace and an Interval Robust Counterpart (IRC) formulation to address the uncertainty propagation from the design subspace to the allocation subspace. Two applications a military and a commercial airline application are addressed. Results demonstrates the ability of the framework to identify the design requirements for the new aircraft, and a posterior analysis indicates that the framework acceptably handles the uncertainties.