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Optimal design of piezoelectric materials for maximal energy harvesting

Nelson, Russell J.
Fonte: Monterey, California: Naval Postgraduate School Publicador: Monterey, California: Naval Postgraduate School
Tipo: Tese de Doutorado
Português
Relevância na Pesquisa
153.54648%
Approved for public release; distribution is unlimited; The military’s dependence on fossil fuels for electric power production in isolated settings is both logistically and monetarily expen-sive. Currently, the Department of Defense is actively seeking alternative methods to produce electricity, thus decreasing dependence on fossil fuels and increasing combat power.We believe piezoelectric generators have the ability to contribute to military applications of alternative electrical power generation in isolated and austere conditions. In this paper, we use three and six variable mathemat-ical models to analyze piezoelectric generator power generation capabilities. Using mk factorial sampling, nearly orthogonal and balanced Latin hypercube (NOBLH) design, and NOBLH iterative methods, we find optimal solutions to maximize piezoelectric gen-erator power output. We further analyze our optimal results using robustness analysis techniques to determine the sensitivity of our models to variable precision. With our results, we provide analysts and engineers the optimal designs involving material parameters in the piezoelectric generator, as well as the generator’s environment, in order to maximize electric output.; ; Captain, United States Army

Toward finding driving communications factors in the system of systems survivability simulation model

Cordell, Joseph R.
Fonte: Monterey, California: Naval Postgraduate School Publicador: Monterey, California: Naval Postgraduate School
Tipo: Tese de Doutorado
Português
Relevância na Pesquisa
41.68456%
Approved for public release; distribution is unlimited.; The System of Systems Survivability Simulation (S4) was created by the Army Research Laboratory's Survivability and Lethality Analysis Directorate in cooperation with the New Mexico State University Physical Science Laboratory. S4 is a multi-level, agent-based, time-stepped, high resolution, stochastic combat model with a focus on survivability and lethality of equipment and forces. There are over 300 factors (or input parameters) used to define the elements on the simulated battlefield. This thesis explores a factor screening method using a supersaturated design that could be used to eliminate insignificant design parameters for given scenarios. Eliminating insignificant parameters could reduce the run-time of an experiment, thereby allowing a more robust design to be used only on the significant factors that are selected. The ability of the method to properly identify significant parameters is analyzed by creating a model in which the significant factors are already known and determining how well the method identifies the significant factors. The results of the analysis show that the method is effective when the factors are moderately to highly significant and for a small number of significant factors. Additional research comparing this method with other factor screening methods may lead to the use of this method when there are more factors than design points.; Captain...