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Designer Systems of Systems: A Rational Integrated Approach of System Engineering to Tailored Aerodynamics, Aeroelasticity, Aero-viscoelasticity, Stability, Control, Geometry, Materials, Structures, Propulsion, Performance, Sizing, Weight, Cost

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Transdisciplinary Perspectives on Complex Systems

Abstract

This chapter [Portions of the analysis and results of this continuing research project were presented at the Fourth International Conference on Inverse Problems, Design and Optimization (IPDO–2013), Albi, France (Hilton and D’Urso, Paper ID 06290, 2013).] reports on a comprehensive optimized inverse analysis protocol that has been formulated at the complex multifunctional, multiphysics and multidisciplinary total system of systems (SoS) level leading to trans-disciplinary convergence for the entire designer vehicle with provisions for optimized/tailored aerodynamics, stability, control, materials, structures, propulsion, performance, sizing, weight, cost, etc. The protocol for these inverse problems is based on a generalized calculus of variations approach, including but not limited to Lagrange multipliers.

The possibility of achieving such a generalized unified approach has become a reality through the double advent of modern computer software and hardware. First, the availability of such programs as MATLAB™, MATHEMATICA™, MAPLE™, etc. make it feasible to carry out the detailed large scale analytical enterprises, such as multiple symbolic integrations, differentiations, matrix algebra, etc. Secondly, the online operational advent of the University of Illinois at Urbana-Champaign National Center for Supercomputing Applications/National Science Foundation (UIUC NCSA/NSF) Blue Waters™, the sustained peta-scale (1015 flops/s) computing system (Anonymous, http://www.ncsa.uiuc.edu/BlueWaters/, 2011; Anonymous, http://www.ncsa.illinois.edu/News/Stories/Kramer/, 2009; Anonymous, About blue waters, 2014; Anonymous, https://bluewaters.ncsa.illinois.edu, 2013), will allow efficient solutions of the necessary hundreds of millions of simultaneous nonlinear algebraic equations describing parameters for an entire air or space flight vehicle (Through this chapter the term vehicle is used to denote atmospheric and space flight vehicles unless otherwise specified.) or other large scale SoS that may contain numerous rigid, specified and/or flexible sub-systems as well as aerodynamics, cost, manufacturing, performance, propulsion, stability and control, etc.

Illustrative examples are limited to structures, solid mechanics and aero-viscoelastic examples that represent currently available solutions. Additional parts of the entire complex SoS are under investigation and will be reported in archival journals in future years.

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Notes

  1. 1.

    Civil and military airplanes, missiles, spacecraft, UAVs, MAVs, wind turbine and helicopter blades, helicopters, etc.

  2. 2.

    Entire passage: “Two important characteristics of maps should be noticed. A map is not the territory it represents, but, if correct, it has a similar structure to the territory, which accounts for its usefulness” [125].

  3. 3.

    First online operation in 2013.

  4. 4.

    FGM = functionally graded materials, EFGM = elastic FGM, VFGM = viscoelastic FGM.

  5. 5.

    See also Sect. 12 for details on cost functions.

  6. 6.

    Such as von Mises, maximum stress or strain, octahedral shear [195], deterministic Shanley-Ryder [196], probabilistic Shanley-Ryder [21, 132], etc.

  7. 7.

    From a fundamental mechanics point of view, FGMs are essentially non-homogeneous materials and should be treated as such. Additionally and separately they may also be anisotropic.

  8. 8.

    Excluded: radio, TV, GPS, monitors, autopilot, navigation, etc.; not necessarily excluded: controls.

  9. 9.

    In economics, elasticity is defined as the degree to which a demand or supply is sensitive to changes in price or income.

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Acknowledgement

Support by grants from the Private Sector Program Division (PSP) of the National Center for Supercomputing Applications (NCSA) and from the Department of Aerospace Engineering both at the University of Illinois at Urbana-Champaign (UIUC), and from the Economics Department at the New School for Social Research is gratefully acknowledged.

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Authors and Affiliations

  1. Aerospace Engineering Department in the College of Engineering and Private Sector Program Division at the National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign (UIUC), 104 South Wright Street, MC-236, Urbana, IL, 61801-2935, USA

    Harry H. Hilton

  2. Aerospace Engineering Department in the College of Engineering, University of Illinois at Urbana-Champaign (UIUC), 104 South Wright Street, MC-236, Urbana, IL, 61801-2935, USA

    Steven J. D’Urso

  3. Economics Department, The New School for Social Research, 6 East 16th Street, New York, NY, 10003, USA

    Noe Wiener

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  1. Harry H. Hilton
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Correspondence to Harry H. Hilton .

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    Franz-Josef Kahlen

  2. Department of Organizational Leadership School of Education and Human Services, Oakland University, Rochester, Michigan, USA

    Shannon Flumerfelt

  3. Department of Production and Systems School of Engineering, University of Minho, Guimarães, Portugal

    Anabela Alves

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Hilton, H.H., D’Urso, S.J., Wiener, N. (2017). Designer Systems of Systems: A Rational Integrated Approach of System Engineering to Tailored Aerodynamics, Aeroelasticity, Aero-viscoelasticity, Stability, Control, Geometry, Materials, Structures, Propulsion, Performance, Sizing, Weight, Cost. In: Kahlen, J., Flumerfelt, S., Alves, A. (eds) Transdisciplinary Perspectives on Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-38756-7_3

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