Peer-Reviewed Article by Roberto Porcu
Helicopters can experience brownout when flying close to a dusty surface. The uplifting of dust i... more Helicopters can experience brownout when flying close to a dusty surface. The uplifting of dust in the air can remarkably restrict the pilot’s visibility area. Consequently, a brownout can disorient the pilot and lead to the helicopter collision against the ground. Given its risks, brownout has become a high-priority problem for civil and military operations. Proper helicopter design is thus critical, as it has a strong influence over the shape and density of the cloud of dust that forms when brownout occurs. A way forward to improve aircraft design against brownout is the use of particle simulations. For simulations to be accurate and comparable to the real phenomenon, billions of particles are required. However, using a large number of particles, serial simulations can be slow and too computationally expensive to be performed. In this work, we investigate a message passing interface (MPI) þ graphics processing unit (multi-GPU) approach to simulate brownout. In specific, we use a semi-implicit Euler method to consider the particle dynamics in a Lagrangian way, and we adopt a precomputed aerodynamic field. Here, we do not include particle–particle collisions in the model; this allows for independent trajectories and effective model parallelization. To support our methodology, we provide a speedup analysis of the parallelization concerning the serial and pure-MPI simulations. The results show (i) very high speedups of the MPI multi-GPU implementation with respect to the serial and pure-MPI ones, (ii) excellent weak and strong scalability properties of the implemented time-integration algorithm, and (iii) the possibility to run realistic simulations of brownout with billions of particles at a relatively small computational cost. This work paves the way toward more realistic brownout simulations, and it highlights the potential of high-performance computing for aiding and advancing aircraft design for brownout mitigation.
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Papers by Roberto Porcu
arXiv (Cornell University), May 11, 2023
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Chemical Engineering Science, Jun 1, 2023
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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Dec 16, 2022
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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Nov 3, 2019
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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Feb 26, 2022
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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Apr 19, 2022
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OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information), Dec 16, 2022
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Chemical Engineering Science
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U.S. Department of Energy Office of Scientific and Technical Information - OSTI OAI, Nov 15, 2022
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U.S. Department of Energy Office of Scientific and Technical Information - OSTI OAI, Apr 19, 2022
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APS Division of Fluid Dynamics Meeting Abstracts, Nov 1, 2019
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Italy, Apr 22, 2013
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Italy, Feb 2, 2017
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Communications in Applied and Industrial Mathematics, 2018
The general family of Galerkin variational integrators are analyzed and a complete classification... more The general family of Galerkin variational integrators are analyzed and a complete classification of such methods is proposed. This classification is based upon the type of basis function chosen to approximate the trajectories of material points and the numerical quadrature formula used in time. This approach leads to the definition of arbitrarily high order method in time. The proposed methodology is applied to the simulation of brownout phenomena occurring in helicopter take-off and landing.
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Bulletin of the American Physical Society, 2019
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The International Journal of High Performance Computing Applications
Helicopters can experience brownout when flying close to a dusty surface. The uplifting of dust i... more Helicopters can experience brownout when flying close to a dusty surface. The uplifting of dust in the air can remarkably restrict the pilot’s visibility area. Consequently, a brownout can disorient the pilot and lead to the helicopter collision against the ground. Given its risks, brownout has become a high-priority problem for civil and military operations. Proper helicopter design is thus critical, as it has a strong influence over the shape and density of the cloud of dust that forms when brownout occurs. A way forward to improve aircraft design against brownout is the use of particle simulations. For simulations to be accurate and comparable to the real phenomenon, billions of particles are required. However, using a large number of particles, serial simulations can be slow and too computationally expensive to be performed. In this work, we investigate an message passing interface (MPI) + graphics processing unit (multi-GPU) approach to simulate brownout. In specific, we use a ...
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Peer-Reviewed Article by Roberto Porcu
Papers by Roberto Porcu