Thu Mar 16 Thesis Defense by Brian M. Proliferation of missile technology has increased in recent years.
These technologies are less expensive to acquire and maintain than a conventional Air Force, but offer many of the same advantages, such as precision strike and deep shaping operations. This thesis presents a new methodology that can be used to address large-scale complex raids made up of different types TBMs and CMs that attempt to overwhelm the ADA systems at a particular location.
This method will allow for technology gap identification, but the primary focus will be on how existing ADA systems can adjust their tactics in order to minimize the damage caused by threats that are not shot down and impact friendly forces.
Almost all the literature to date optimizes systems and tactics to reduce the number of leakers — threats not shot down — that impact the ground.
However, simply counting the number of leakers does not adequately describe the effects to friendly forces. Instead, the first part of this thesis combines existing methods for external ballistics, concrete penetration, explosive cratering, and weapon blast and fragmentation damage in order to create an integrated program that can describe the damage to an airfield runway, infrastructure, and parked aircraft.
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The second part of the thesis focuses on modeling the ADA missile engagements. Both the airfield damage model and ADA simulation have runtimes ranging from minutes to hours.
They are also stochastic, so a large number of runs are required for each input vector in order to properly understand the output range. In order to reduce the computation time to allow for later optimization, the methods of Design of Experiments and Machine Learning, such as Neural Networks and Gaussian Process Models, were used to create fast running models that predict the outputs of these simulations.
The final part of the work uses these prediction algorithms to first optimize the enemy fire plan, then optimize the ADA defense tactics, and finally optimize the ADA defense tactics with a new interceptor missile system.
Initially, the enemy attack plan must be optimized in order to discover combinations of the different types of TBMs and CMs that cause the most damage to different areas of the airfield. This analysis produces a frontier of non-dominated solutions that maximize different effects such as damage to the runway, aircraft, or fuel.
Given this set of optimized fire plans, the friendly ADA tactics are optimized in order to minimize the damage to friendly assets for the lowest cost.
A multi-attribute decision making tool is then used to select a specific set of tactics and these tactics are then compared to the based case.Brian mirtich phd thesis - Next, background information expands the matter and tells your reader why it is necessary.
Be specific when coming up with a reflective essay outline whilst each line short. The format for use should be available as a directory of the authors work, declaring its salient points. "The Queen guitarist Brian May has achieved a new milestone: he has published his PhD thesis in astronomy.
Entitled A Survey of Radial Velocities in the Zodiacal Dust Cloud, his thesis analyses what happens to the dust particles left over from the formation of the solar system about billion years ago. 5/5(5). Brian Vincen t Mirtic h BSE Arizona State Univ ersit y MS Univ ersit y of California Berk eley A dissertation submitted in partial satisfaction of the requiremen ts for the This thesis in tro duces a new paradigm for dynamic sim ulation called impulseb ase d sim ulation The paradigm is .
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