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Activity title

Multi-fidelity methods for military vehicle design

Activity Reference

AVT-354

Panel

Applied Vehicle Technology

Security Classification

NATO UNCLASSIFIED

Status

Proposed

Activity type

RWS

Start date

2020

End date

2021

Keywords

and machine learning, design of experiments, Multidisciplinary design optimization, multifidelity methods, sensitivity analysis, surrogate methods

Background

Military requirements continue to evolve rapidly. To meet this growth, the time and effort to develop next-generation weapon systems needs to be significantly reduced, while simultaneously reducing the rate at which problems arise late in system development. Meeting these needs requires new capability for quick, accurate and thorough assessment of the design space. AVT recently completed several assessments of this need. ET-054 explored the issue of affordable weapons systems and led to the formation of AVT-092, “Qualification by Analysis,” and AVT-093, “Integrated Tools and Processes for Affordable Weapons Systems.” AVT-093 focused on “the integration of tools and processes, not on the description of tools and processes.” AVT-093 also identified needs in multidisciplinary design optimization (MDO) that could be addressed using the integration of tools and processes in a distributed parallel computing environment that would enable a feedback of information from detail to preliminary and preliminary to conceptual design. AVT-092 recognized that these capabilities described in AVT-093 are necessary to achieve the objective of rapid design and qualification of new vehicles. Both teams recognized that there is a gap between the current technology and the desired end state of rapidly developing affordable weapons systems and developments in multidisciplinary technologies are key capabilities for closing that gap. More recently, AVT-237 focused on benchmarking the use and benefits of MDO for the development of military systems, and AVT-252 explored optimization of aircraft and ships under uncertainty. Finally, the AVT-331 team is discussing, developing, and applying methods for accelerating vehicle design by using tools and processes that reflect different levels of fidelity throughout the MDO process and recommend broadening the discussion in our community via cooperative events. To this aim, AVT-331 co-chairs and members have proposed a special session on Multi-Fidelity Methods for Vehicle Applications at the Multidisciplinary Analysis and Optimization Conference within AIAA Aviation Forum and Exposition in 2020 and, along the same line, are proposing this RWS, to be held in 2021. A cooperative event discussing interim findings of AVT-331 will help establish a broader dialogue regarding the technical and military relevance of AVT-331 findings and will help identify potential follow-on efforts to heighten benefits of the target methodologies.

Objectives

This RWS will broaden the AVT-331 perspective facilitating the identification and possibly the extension of the current state of the art (SoA) associated with frameworks, architectures, and methodologies for the adaptive selection of different sources of information from data/models for design of military vehicles. Experts will be invited to present methods and applications across the military vehicle space and address benchmark/mini-problems for assessment of methods and discussion on future needs and capabilities. The expected deliverable from the RWS are Meeting Proceedings (MPs) including a Technical Evaluation Report by a Technical Evaluator.

Topics

The Workshop will cover a broad range of topics in the multidisciplinary design optimization of military vehicles, with specific emphasis on how the incorporation of multi-fidelity methods in the design process can accelerate design procedures and enable more accurate physical analysis. Specific questions for discussion include: (1) What are the available methods to synergistically fuse information sources of different fidelity to accelerate multidisciplinary design optimization and how do these methods scale with the size of the design space and the addition of different disciplines? (2) How can fidelity decisions be based on system-level objectives and constrained by available computational resources? (3) What is the best way to blend multiple sources of test and computational data, and what is the impact of noise in any information source? (4) What are the outcomes of existing multi-fidelity benchmarks and where do these benchmarks need to be improved or extended? (5) Where does future NATO work need to be carried out to resolve remaining challenges in this topic area?

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