In recent times, warfighting has been taking place not in far-removed areas but within urban environments. As a
consequence, the modern warfighter must adapt. Currently, an effort is underway to develop shoulder-mounted rocket
launcher rounds suitable with reduced acoustic signatures for use in such environments. Of prime importance is to
ensure that these acoustic levels, generated by propellant burning, reflections from enclosures, etc., are at tolerable levels
without requiring excessive hearing protection. Presented below is a proof-of-concept approach aimed at developing a
computational tool to aid in the design process. Unsteady, perfectly-expanded-jet simulations at two different Mach
numbers and one at an elevated temperature ratio were conducted using an existing computational aeroacoustics code.
From the solutions, sound pressure levels and frequency spectra were then obtained. The results were compared to
sound pressure levels collected from a live-fire test of the weapon. Lastly, an outline of work that is to continue and be
completed in the near future will be presented.
A behavior-based, simple interaction model inspired by molecular interaction field depicted by the Lennard-Jones
function is examined for the averaged interaction in swarming. The modeled kinematic equation of motion contains
only one variable, instead of a multiple state variable dependence a more complete dynamics entails. The model
assumes a spatial distribution of the potential associate with the swarm. The model has been applied to examine the
formation of swarm and the results are reported. The modeling can be reflected in an equilibrium theory for the
operation of a swarm of mini-UAVs pioneered by Szu, where every member serves the mission while exploiting other's
loss, resulting in a zero-sum game among the team members.
Conference Committee Involvement (4)
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII
7 April 2010 | Orlando, Florida, United States
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII
13 April 2009 | Orlando, Florida, United States
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors and Neural Networks VI
17 March 2008 | Orlando, Florida, United States
Independent Component Analyses, Wavelets, Unsupervised Nano-Biomimetic Sensors and Neural Networks V
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