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Exploitation of a Validation Hierarchy for Modeling and SimulationAcross engineering there is an evolving need to increase reliance on physics-based simulation to develop, design and optimize engineering systems. This increased reliance on modeling and simulation has highlighted a growing need to transform the confidence that modeling and simulation analysts have in their results into credibility for systems engineers to design and field systems more quickly and with less physical testing. For isolated components of a complex system, where a single discipline may drive product design, this is less of a concern as the relationship is often straightforward and easy to explain. However, when these isolated components are integrated, and are expected to operate in a multi-disciplinary context in which safety critical systems are involved, new concepts and model assurance standards are required. In this paper we address this challenge by showing how a model validation hierarchy can be exploited to identify those model validation experiments that will contribute most to increasing confidence and credibility of modeling and simulation predictions. The approach that is adopted contains four main steps. The first step is the construction of a model validation hierarchy that links subsystems, assemblies, and components to a hierarchy of physical
experiments that can be used support model validation. This hierarchy connects the concerns of systems engineers to those of the modeling and simulation analyst in a clear and logical way. The structure and content of this hierarchy is then used in a second step to establish which physical phenomena have the greatest impact on overall system performance metrics. A gap analysis technique, based upon modeling and simulation concerns, is then used to prioritize the important physical phenomenon. Unfortunately, a common outcome of such gap analyses is the identification of many important gaps and so, in the final step of our process, we advocate the use of a global sensitivity analysis as a means to complete the prioritization.
Document ID
20220016818
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Scott Shaw
(MBDA (United Kingdom) London, United Kingdom)
James M Luckring
(Langley Research Center Hampton, Virginia, United States)
William L. Oberkampf
(WL Oberkampf Consulting)
Rick Graves
(United States Air Force Research Laboratory Wright-Patterson AFB, Ohio, United States)
Date Acquired
November 7, 2022
Subject Category
Aerodynamics
Meeting Information
Meeting: AIAA SciTech 2023
Location: National Harbor, MD
Country: US
Start Date: January 23, 2023
End Date: January 27, 2023
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 081876.01.07.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Verification and Validation
Modeling and Simulation
Validation Hierarchy
Missiles
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