Application of Symplectic Integration on a Dynamical System

Molecular Dynamics (MD) is the numerical simulation of a large system of interacting molecules, and one of the key components of a MD simulation is the numerical estimation of the solutions to a system of nonlinear differential equations. Such systems are very sensitive to discretization and round-off error, and correspondingly, standard techniques such as Runge-Kutta methods can lead to poor results. However, MD systems are conservative, which means that we can use Hamiltonian mechanics and symplectic transformations (also known as canonical transformations) in analyzing and approximating solutions. This is standard in MD applications, leading to numerical techniques known as symplectic integrators, and often, these techniques are developed for well-understood Hamiltonian systems such as Hill’s lunar equation. In this presentation, we explore how well symplectic techniques developed for well-understood systems (specifically, Hill’s Lunar equation) address discretization errors in MD systems which fail for one or more reasons

PREDICTIVE MAINTENANCE USING MACHINE LEARNING AND EXISTING DATA SOURCES

Includes supplementary materialThe United States Marine Corps must address material-readiness challenges with emerging technologies at minimum cost. Predictive maintenance using machine learning is a growing field that can be applied using free or commercial-off-the-shelf software. Naval aviation organizations already maintain a network of data repositories that collect and store current and historical data on repairable flight-critical components. Many components fail before their expected structural life as published their manufacturers, which results in costly unscheduled maintenance. The ability to predict component failures and plan for their replacement or repair can significantly increase operational readiness. This thesis develops and analyzes machine-learning models to predict the conditional probability of failure of various MV-22B flight-critical components using data from existing Naval aviation repositories. Data preprocessing, model training, and predictions use commercial-off-the-shelf software. This work can help improve material readiness and acclimatize military-aviation personnel to emerging technologies in decision making.Captain, United States Marine CorpsApproved for public release. Distribution is unlimited

Direct Digital Manufacturing of Metallic Components: Vision and Roadmap

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Test of High-Speed Engine

Discusses the best ways in which a steam engine can function by using measurements from an actual steam engine. The essay ultimately determines that a steam engine is at its highest efficiency when carrying the largest load possible

William G. Frazier Interview

Transcript of oral history interview with William G. Frazier by Mike Downs on his experiences during the Vietnam War on February 25, 1984

Comparative Study of Some Effects of Vocational Education on Culturally Disadvantaged Youth

Educational Administratio