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Applied Mechanics Commons

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Full-Text Articles in Applied Mechanics

Contaminant Transport At Large Courant Numbers Using Markov Matrices, Anthony D. Fontanini, Umesh Vaidya, Alberto Passalacqua, Baskar Ganapathysubramanian Jun 2017

Contaminant Transport At Large Courant Numbers Using Markov Matrices, Anthony D. Fontanini, Umesh Vaidya, Alberto Passalacqua, Baskar Ganapathysubramanian

Umesh Vaidya

Volatile organic compounds, particulate matter, airborne infectious disease, and harmful chemical or biological agents are examples of gaseous and particulate contaminants affecting human health in indoor environments. Fast and accurate methods are needed for detection, predictive transport, and contaminant source identification. Markov matrices have shown promise for these applications. However, current (Lagrangian and flux based) Markov methods are limited to small time steps and steady-flow fields. We extend the application of Markov matrices by developing a methodology based on Eulerian approaches. This allows construction of Markov matrices with time steps corresponding to very large Courant numbers. We generalize this framework ...


Exploration Of Magnetoelectric Thin-Film Sensors Using Supperlattice Composition Spreads, K.-S. Chang, M. Aronova, C. Gao, C. Lin, Jason Hattrick-Simpers, M. Murakami, I. Takeuchi Mar 2015

Exploration Of Magnetoelectric Thin-Film Sensors Using Supperlattice Composition Spreads, K.-S. Chang, M. Aronova, C. Gao, C. Lin, Jason Hattrick-Simpers, M. Murakami, I. Takeuchi

Jason R. Hattrick-Simpers

No abstract provided.


Stochastic Optimal Control In Nonlinear Systems, Celestin Nkundineza Nov 2012

Stochastic Optimal Control In Nonlinear Systems, Celestin Nkundineza

Celestin Nkundineza

Stochastic control is an important area of research in engineering systems that undergo disturbances. Controlling individual states in such systems is critical. The present investigation is concerned with the application of the stochastic optimal control strategy developed by To (2010) and its implementation as well as providing computed results of linear and nonlinear systems under stationary and nonstationary random excitations. In the strategy the feedback matrix is designed based on the achievement of the objectives for individual states in the system through the application of the Lyapunov equation for the system. Each diagonal element in the gain or associated gain ...