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Giuseppe Gallo, Adriano Isoldi, Dario Del Gatto, Raffaele Savino, Amedeo Capozzoli, Claudio Curcio and Angelo Liseno
The present work is focused on a detailed description of an in-house, particle-in-cell code developed by the authors, whose main aim is to perform highly accurate plasma simulations on an off-the-shelf computing platform in a relatively short computation...
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Kalyani Bhide, Kiran Siddappaji, Shaaban Abdallah and Kurt Roberts
A majority of the eddy viscosity models for supersonic turbulent flow are based on linear relationship between Reynolds stresses and mean strain rate. The validity of these models can be improved by introducing non-linearity in relation as RANS models of...
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Saeed Moghimi, Andre Van der Westhuysen, Ali Abdolali, Edward Myers, Sergey Vinogradov, Zaizhong Ma, Fei Liu, Avichal Mehra and Nicole Kurkowski
To enable flexible model coupling in coastal inundation studies, a coupling framework based on the Earth System Modeling Framework (ESMF) and the National Unified Operational Prediction Capability (NUOPC) technologies under a common modeling framework ca...
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Giovanni Boschetti, Riccardo Minto and Alberto Trevisani
Cable-driven parallel robots offer several benefits in terms of workspace size and design cost with respect to rigid-link manipulators. However, implementing an emergency procedure for these manipulators is not trivial, since stopping the actuators abrup...
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Piotr Jedrzejowicz and Izabela Wierzbowska
One of the possible approaches to solving difficult optimization problems is applying population-based metaheuristics. Among such metaheuristics, there is a special class where searching for the best solution is based on the collective behavior of decent...
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