Electromagnetic Fields and Effects Inside Aircraft Cabins, Cockpits, and Avionics Bays
Navy SBIR 2018.2  Topic N182107 NAVAIR  Ms. Donna Attick  donna.attick@navy.mil Opens: May 22, 2018  Closes: June 20, 2018 (8:00 PM ET)
TECHNOLOGY AREA(S): Air
Platform ACQUISITION PROGRAM: PMA299
(ASW) H60 Helicopter Program OBJECTIVE: Develop an
innovative software tool capable of performing a rigorous statistical analysis
to accurately predict distribution of electromagnetic (EM) fields inside and
around large and complex cavities. DESCRIPTION: Electromagnetic
fields inside and around aircraft cockpits and cabins present a hazard to both
personnel and equipment, such as avionics systems. The Department of Defense
(DoD) and the U.S. Navy in particular have been aware of the effects of
longtime exposure to EM radiation [Ref 1] and the need for its mitigation. The
Navy seeks development of a modeling and simulation software tool capable of
predicting the distribution of EM fields in electrically large cavities that
are complex both in geometry and materials. Analyzing EM behavior in
electrically large cavities has proven to be a difficult task. Certainly,
canonical methods do not work since the cavities in question do not have
canonical geometries. Highfrequency methods (e.g., physical optics, physical
theory of diffraction, shooting and bouncing rays, uniform theory of
diffraction), by their very nature, do not work well in an interior
environment. Exactphysics approaches do work well, but they require
unacceptably long run times and significant computational resources making them
unsuitable for routine use. However, recent advances in highorder methods,
both in the time domain and frequency domain [Ref 24] as well as highorder
geometry representation [Ref 56] and highorder boundary conditions [Ref 79],
show potential and promise for fast turnaround for the prediction of
electrically large electromagnetic problems of Electromagnetic Environmental
Effects (E3) interest to the Navy. PHASE I: Select and
demonstrate capabilities of one or more highorder computational
electromagnetics (CEM) codes, including computational resource requirements and
accuracy of EM field predictions in cavities of length of at least 100 lambda.
Demonstrate CAD/ Initial Graphics Exchange Specification interfaces and
highorder gridding tools for the most promising highorder CEM code. The
selected code(s) should be able to transition to users for routine use in
workstation environments (48 cores) to moderate size, highperformance
computing clusters of a few thousand cores. Develop a detailed outline of the
requirements and the plan to meet them in Phase II. PHASE II: Implement the
tool(s) with a GUI for problem setup and results analysis. Ensure that the GUI
design emphasizes easeofuse in the context of configuring, visualizing, and
executing on arbitrary complex targets with large cavities. Port codes on
clusters of central processing units and CPU/GPUs. Test and demonstrate the
resulting codes on cases of interest. PHASE III DUAL USE
APPLICATIONS: Refine the methodology and tool developed in Phase II either
alone or in partnership with another company and transition to interested DoD
and commercial users. This general tool is applicable to a wide range of
civilian problems where EM systems are operating within enclosures such as
equipment within an enclosed industrial building, a hospital, an automobile, or
an aircraft. REFERENCES: 1. Alpert, B., Greengard, L,
and Hagstrom, T. “Nonreflecting boundary conditions for the timedependent
wave equation”. Journal of Computational Physics, 2002, 180, pp. 270296.
doi:10.1006/jcph.2002.7093 2. Berenger, J. “A perfectly
matched layer for the absorption of electromagnetic waves”. Journal of
Computational Physics, 1994, 114(2), pp. 185200. https://doi.org/10.1006/jcph.1994.1159 3. Darrigrand, E. and Monk,
P. “Combining the ultraweak variational formulation and multilevel fast
multiple method”. Applied Numerical Mathematics, 2012, 62(6), pp. 709719. https://doi.org/10.1016/j.apnum.2011.07.004 4. Hagstrom, T. and Lau, S.
“Radiation boundary conditions for Maxwell's equations: a review of accurate
timedomain formulations.” Journal of Computational Mathematics, 2007, 25(3),
pp. 305336. https://www.jstor.org/stable/43693369 5. Hesthaven, J. and
Warburton, T. “Nodal Discontinuous Galerkin Methods: algorithms, analysis, and
applications”. Springer, 2007. ISBN 9780387720678. http://www.springer.com/us/book/9780387720654 6. Huttunen, T., Malinen, M.,
and Monk, P. “Solving Maxwell's equations using the ultra weak variational
formulation”. Journal of Computational Physics, 2007, 223(2), pp. 731758. https://doi.org/10.1016/j.jcp.2006.10.016 7. NAVAIR Integrated
Battlespace Simulation and Test. (2013). “Hazards of Electromagnetic
Radiation”. http://www.navair.navy.mil/tande/ibst/03_E3/hero_herp_herf.html 8. Sanjaya, D. and Fidkowski,
K. “Improving HighOrder Finite Element Approximation Through Geometrical
Warping.” AIAA Journal, Vol. 54, No 12 (2016), pp. 33944010. https://doi.org/10.2514/1.J055071 9. Shephard, M., Flaherty,
Joseph E., Jansen, K., Li, X., Luo, X., Chevaugeon, N., Remacle, J., Beall, M.,
and O'Bara, R. “Adaptive mesh generation for curved domains”. Applied Numerical
Mathematics, 2005, 52(23), pp. 251271. https://doi.org/10.1016/j.apnum.2004.08.040 KEYWORDS: Electromagnetic
Environmental Effects (E3); Computational Electromagnetics; Modeling and
Simulation; Cavity Radiation; HighOrder Methods; Cavity E3 Statistics
