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Activity title

Goal-driven, multi-fidelity approaches for military vehicle system-level design

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Applied Vehicle Technology

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design optimization, multidisciplinary analysis, Multifidelity analysis, multiphysics


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, ET-185 discussed concepts for accelerating vehicle design by using tools and process that reflect different levels of fidelity throughout the MDO process and the design space itself, and recommended this activity mature in the form of an RTG.


This RTG will identify and extend the current state of the art (SoA) associated with frameworks for adaptive selection of different sources of information from data/models for physics-based system-level design. Benchmark test problems across the military vehicle space will be developed by which contributions are assessed. The expected deliverable from the RTG is a report including: a description of the current status and challenges of the SoA and the relevance of new physics-based, multi-fidelity approaches; documentation of the method and framework technologies along with the benchmarks used in their evaluation, and an assessment of future needs and capabilities.


(1) Mathematically rigorous frameworks for synergistically fusing information sources of different fidelity, e.g., (a) efficient algorithms for utilizing high-fidelity methods to construct sufficiently accurate low-fidelity models; (b) efficient algorithms for low-fidelity models to determine when high-fidelity is needed; (c) surrogate models containing low- and high-fidelity data. (2) Addressing system-level considerations, e.g. determining: (a) how physical interactions affect fidelity decisions; (b) what coupling is needed; (c) how fidelity needs adapt at different steps of the design process; (d) compatibility of multi-physics models of different fidelities. (3) Basing fidelity decisions on system-level objectives and constrained by process resources. (4) Mixing of test and computational data as information sources. (5) Benchmark steady and transient test problems by which different relevant methods and frameworks can be compared and assessed.

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