Academic literature on the topic 'PISO algorithm'

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Journal articles on the topic "PISO algorithm"

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Tayebi, Ali, and Behzad Ghadiri Dehkordi. "Development of a PISO-SPH method for computing incompressible flows." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 228, no. 3 (2013): 481–90. http://dx.doi.org/10.1177/0954406213488280.

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A new algorithm is proposed for solving the time-dependent Navier-Stokes equations in a sequential uncoupled manner. The algorithm, known as PISO (Pressure Implicit with Splitting of Operators) is extended to the Smoothed Particle Hydrodynamics (SPH) context (PISO-SPH). The algorithm consists of one prediction and two correction steps, based on a full Navier-Stokes equation, therefore, a modified Poisson equation is derived which makes the algorithm more stable with less pressure fluctuations. The proposed PISO-SPH method is applied to solve a number of benchmark problems including both unstea
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Wang, Jie, Yue Zhu, Songyu Zou, et al. "Numerical Simulation Study on Reverse Source Tracing for Heating Pipeline Network Leaks Based on Adjoint Equations." Processes 12, no. 12 (2024): 2710. https://doi.org/10.3390/pr12122710.

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In order to identify the leak source in complex heating pipeline networks, a timely and effective simulation of the leakage process was conducted. The open-source computational fluid dynamics software OpenFOAM 5.0 was combined with the PISO algorithm to simulate the pressure during the leakage in water supply networks, transforming the reverse source tracing problem into the solution of an adjoint equation. The validation of the transient adjoint equation for single-phase flow was completed through simulation, and the pressure wave change graph at the moment of the network leakage was solved,
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Kang, Kwan-Gu, and Hong-Sun Ryou. "COMPUTATION OF SOLIDIFICATION AND MELTING USING THE PISO ALGORITHM." Numerical Heat Transfer, Part B: Fundamentals 46, no. 2 (2004): 179–94. http://dx.doi.org/10.1080/10407790490438563.

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Seif, M. S., A. Asnaghi, and E. Jahanbakhsh. "Implementation of PISO algorithm for simulating unsteady cavitating flows." Ocean Engineering 37, no. 14-15 (2010): 1321–36. http://dx.doi.org/10.1016/j.oceaneng.2010.06.011.

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Tuković, Željko, Milovan Perić, and Hrvoje Jasak. "Consistent second-order time-accurate non-iterative PISO-algorithm." Computers & Fluids 166 (April 2018): 78–85. http://dx.doi.org/10.1016/j.compfluid.2018.01.041.

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J. Oliveira, Raad I. Issa, Paulo. "AN IMPROVED PISO ALGORITHM FOR THE COMPUTATION OF BUOYANCY-DRIVEN FLOWS." Numerical Heat Transfer, Part B: Fundamentals 40, no. 6 (2001): 473–93. http://dx.doi.org/10.1080/104077901753306601.

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Venier, Cesar M., César I. Pairetti, Santiago Marquez Damian, and Norberto M. Nigro. "On the stability analysis of the PISO algorithm on collocated grids." Computers & Fluids 147 (April 2017): 25–40. http://dx.doi.org/10.1016/j.compfluid.2017.01.017.

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Ren, Xiao Guang. "Performance Analysis of the PISO-Based CFD Simulation." Applied Mechanics and Materials 607 (July 2014): 872–76. http://dx.doi.org/10.4028/www.scientific.net/amm.607.872.

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Computational Fluid Dynamics (CFD) is widely applied for the simulation of fluid flows, and the performance of the simulation process is critical for the simulation efficiency. In this paper, we analyze the performance of CFD simulation application with profiling technology, which gets the portions of the main parts’ execution time. Through the experiment, we find that the PISO algorithm has a significant impact on the CFD simulation performance, which account for more than 90% of the total execution time. The matrix operations are also account for more than 60% of the total execution time, wh
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Wu, Jian Feng, Cai Hua Wang, and Lu Ping Yi. "The Selection of Pressure Velocity Coupling Algorithm in the Numerical Wind Tunnel of Arch Roof." Applied Mechanics and Materials 204-208 (October 2012): 4888–91. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.4888.

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using the FLUENT software, this paper taking the current code for the design of building structures as the comparison standard, have numerical wind tunnel simulation of the wind the surface wind pressure on arch roof. It focuses on the analysis of the effects of three kinds of pressure velocity coupling algorithm on the numerical simulation results, respectively SIMPLE, SIMPLEC, PISO, to provide a basis for the reasonable selection of algorithm.
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Albatati, F. A., A. M. Hegab, M. A. Rady, A. A. Abuhabaya, and S. M. El-Behery. "Turbulent Flow Characteristics in a Model of a Solid Rocket Motor Chamber with Sidewall Mass Injection and End-Wall Disturbance." Mathematical Problems in Engineering 2021 (June 15, 2021): 1–17. http://dx.doi.org/10.1155/2021/9978102.

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The present analytical, numerical, and experimental investigations are performed to study the flow field in acoustically simulated solid rocket motor (SRM) chamber geometry. The computational solution is carried out for a high Reynolds number and low Mach number internal flows driven by sidewall mass addition in a long chamber with end-wall disturbances. This kind of flow (transient, weakly viscous, and contains vorticity) have several features in common with a turbulent flow field. The numerical study is performed by solving the unsteady Reynolds-averaged Navier–Stokes equations along with th
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Dissertations / Theses on the topic "PISO algorithm"

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Hoang, Van Quan. "Well-Balanced PISO Algorithm, Height Function, Dynamic Contact Angle, Liquid Film Flow over Complex Surface." Electronic Thesis or Diss., Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique, 2024. http://www.theses.fr/2024ESMA0013.

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Le défi de construire un solveur pour la simulation du refroidissement à l'huile dans les extrémités des bobinages des moteurs électriques est l'objet de cette étude. Le premier segment se concentre sur les phénomènes de transfert thermique du flux de film liquide sur une surface complexe pré-mouillée. L'objectif est de comprendre les mécanismes d'interaction entre le liquide et la surface complexe. Une analyse détaillée des résultats de la simulation est réalisée, en tenant compte des effets de paramètres variables tels que le nombre de Reynolds et le nombre de Prandtl. Suite à cela, un solve
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Phrakonkham, Sengprasong. "Contribution au pré dimensionnement et à l'optimisation des sites de production d'énergie électrique en site isolé à partir des énergies renouvelables : application au cas du Laos." Thesis, Paris 11, 2012. http://www.theses.fr/2012PA112138.

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Depuis 2004, l'Université de Paris Sud a établi une collaboration avec le département de Génie Électrique de la Faculté d'ingénierie de l'Université du Laos (UNL). La thématique de recherche concerne le pilotage de l'électronique de puissance pour la gestion de sources d'énergie renouvelable pour le Laos. Ainsi en 2009, le Gouvernement français a financé une bourse de thèse pour le développement d'un outil de pré-dimensionnement de la production électrique renouvelable pour les villages isolés au Laos. En effet, le réseau de transport et de distribution du Laos est déjà en tension compte tenu
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Gomes, J?nior Paulo Pinheiro. "? o algoritmo, est?pido : como os softwares provocam altera??es no conceito de newsmaking." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2017. http://tede2.pucrs.br/tede2/handle/tede/7779.

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Submitted by PPG Comunica??o Social (famecos-pg@pucrs.br) on 2017-12-18T10:09:22Z No. of bitstreams: 1 PAULO_PINHEIRO_GOMES_JR_TES.pdf: 1838646 bytes, checksum: a2a8523e73ef305588015b1b744dfbdc (MD5)<br>Approved for entry into archive by Caroline Xavier (caroline.xavier@pucrs.br) on 2017-12-19T19:33:20Z (GMT) No. of bitstreams: 1 PAULO_PINHEIRO_GOMES_JR_TES.pdf: 1838646 bytes, checksum: a2a8523e73ef305588015b1b744dfbdc (MD5)<br>Made available in DSpace on 2017-12-19T19:56:30Z (GMT). No. of bitstreams: 1 PAULO_PINHEIRO_GOMES_JR_TES.pdf: 1838646 bytes, checksum: a2a8523e73ef305588015b1b744dfbdc
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Ecco, Daniel. "Algoritmo ultra r?pido para calcular propriedades cr?ticas no problema de percola??o em redes bidimensionais." PROGRAMA DE P?S-GRADUA??O EM CI?NCIA E ENGENHARIA DE PETR?LEO, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/21834.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-01-27T13:40:52Z No. of bitstreams: 1 DanielEcco_TESE.pdf: 15819405 bytes, checksum: 00c65d8e05776036ef4d17fa23f04e68 (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-01-31T14:21:06Z (GMT) No. of bitstreams: 1 DanielEcco_TESE.pdf: 15819405 bytes, checksum: 00c65d8e05776036ef4d17fa23f04e68 (MD5)<br>Made available in DSpace on 2017-01-31T14:21:06Z (GMT). No. of bitstreams: 1 DanielEcco_TESE.pdf: 15819405 bytes, checksum: 00c65d8e05776036ef4d17fa23f04e68 (MD5) Previous is
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Malaty, George. "Mathematics and Mathematics Education Development in Finland: the impact of curriculum changes on IEA, IMO and PISA results." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80604.

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Mathematics has got roots in Finland in the last quarter of the 19th century and came to flourish in the first quarter of the next century. In the first quarter of the 20th century, mathematicians were involved in teaching mathematics at schools and writing school textbooks. This involvement decreased and came to an end by the launching of the ‘New Math’ project. Mathematics education for elite was of positive affect to higher education, and this has changed by the spread of education, the decrease of mathematics teaching hours at schools and the changes in school mathematical curricula. The i
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Wang, Chun-Sheng, and 王俊盛. "Framework Design of Object-Oriented Programming of PISO Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/2j4bvy.

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碩士<br>國立臺北科技大學<br>土木與防災研究所<br>100<br>In this study, a new framework for the computational fluid dynamics (CFD) using the object-oriented programming language C++ is developed. The CFD method is pressure implicit with splitting of operator (PISO) algorithm. It is the finite volume method (FVM), and can be used to solve the transient incompressible fluid dynamics. The largest feature of this study, the overall framework design is combined with basic concepts of the FVM and the PISO method. The framework is divided into the flow field (Field) class, the pressure control volume (Pressure-control v
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HSIU, TSAI MENG, and 蔡孟修. "Application of modified PISO Algorithm with Spectral Element Method in incompressible flow." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/96990552789648136931.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>91<br>The main purpose of this thesis is to modify the method of pressure implicit with splitting operator(PISO). The new modified PISO was developed by an implicit corrector step. It can be applied to the transient and steady flows. The new scheme was tested by the Kovasnay, driven cavity, sudden expansion flow and the flow over a cylinder. The schemes, which are stiffly stable, fully implicit, simple, are compared with the new scheme. For the steady state solver, by the new method, the computational efficiency can be improved very much by introducing t
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Jia-Hsin, Lin, and 林嘉新. "Adaptive Handover Parameters Design in Hybrid Macro/Pico-cell Networks Based on Q-learning Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/12993496059188355810.

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碩士<br>國立中正大學<br>通訊工程研究所<br>100<br>In currently deployed mobile networks, handover parameter is done manually over a long time frame. This way not only comes high OPEX but also time-consuming. Handover parameter settings, such as Time-To-Trigger (TTT), Hysteresis, have great effect on mobility performance. Inappropriate handover parameter settings can negatively affect user experience and waste network resources by causing Radio Link Failure, Ping-Pong Effect and Handover Failure. There have been researchers studied the handover parameter optimization in LTE system, which mainly pay attention t
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Books on the topic "PISO algorithm"

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Colbourn, Charles J., Roberto Grossi, and Nadia Pisanti. Combinatorial Algorithms: 30th International Workshop, IWOCA 2019, Pisa, Italy, July 23-25, 2019, Proceedings. Springer International Publishing AG, 2019.

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Pinotti, Cristina M., Alfredo Navarra, and Amitabha Bagchi. Algorithms for Sensor Systems: 16th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2020, Pisa, Italy, September 9-10, 2020, Revised Selected Papers. Springer International Publishing AG, 2020.

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Combinatorial Pattern Matching 19th Annual Symposium Cpm 2008 Pisa Italy June 1820 2008 Proceedings. Springer, 2008.

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Book chapters on the topic "PISO algorithm"

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Aditya, Shail, and Vinod Kathail. "Algorithmic Synthesis Using PICO." In High-Level Synthesis. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-8588-8_4.

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Lindner, Alina, Andreas Bieniek, and Hans Burkhardt. "PISA—Parallel Image Segmentation Algorithms." In High Performance Computing in Science and Engineering ’98. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-58600-2_39.

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Bertin, M. J., A. Decomps-Guilloux, M. Grandet-Hugot, M. Pathiaux-Delefosse, and J. P. Schreiber. "Meromorphic Functions on D(0,1). Generalized Schur Algorithm." In Pisot and Salem Numbers. Birkhäuser Basel, 1992. http://dx.doi.org/10.1007/978-3-0348-8632-1_3.

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Luppichini, Marco, Monica Bini, Andrea Berton, Nicola Casarosa, Silvia Merlino, and Marco Paterni. "A method based on beach profile analysis for shoreline identification." In Ninth International Symposium “Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques”. Firenze University Press, 2022. http://dx.doi.org/10.36253/979-12-215-0030-1.05.

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Coastal erosion coupled with human-induced pressure has severely affected the coastal areas of the Mediterranean region. In this context, the Pisa coastal plain shows a long history of erosion, which started at the beginning of the nineteenth century. The work aims to provide a method and a software to extract the shoreline position. The algorithm is based on the variation of the topographic beach profile caused by the transition from water to sand. The algorithm is promoted by the release of a QGIS v3.x plugin uploaded on the official repository of the software.
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Bleuler, Stefan, Marco Laumanns, Lothar Thiele, and Eckart Zitzler. "PISA — A Platform and Programming Language Independent Interface for Search Algorithms." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36970-8_35.

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Vinudevi, G., S. P. Vijayaragavan, and K. Sasikala. "Optimized Deep Belief Network for Colorectal Cancer Detection Using Hybrid PIO-DE Algorithm." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86293-9_9.

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Jia, Wushan, Zeshi Liu, Linpeng Xu, Yue Zhu, and Gonghao Sun. "A Backstepping Sliding Mode Control Method for Morphing Aircraft Based on Improved PIO Algorithm." In Proceedings of 2022 International Conference on Autonomous Unmanned Systems (ICAUS 2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0479-2_225.

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Ovalle, Christian, and Willian Trujillo. "Comparison of Machine Learning Algorithms in the Prediction of Pisco Varieties Using Near-Infrared Spectroscopy (NIRS)." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70518-2_23.

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Ochoa-Zezzatti, Alberto, José Mejía, Roberto Contreras-Masse, Erwin Martínez, and Andrés Hernández. "Ethnic Characterization in Amalgamated People for Airport Security Using a Repository of Images and Pigeon-Inspired Optimization (PIO) Algorithm for the Improvement of Their Results." In Applications of Hybrid Metaheuristic Algorithms for Image Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-40977-7_5.

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Ibrahim, W. I., M. R. Mohamed, and R. M. T. R. Ismail. "Direct Power Control Method of Maximum Power Point Tracking (MPPT) Algorithm for Pico-Hydrokinetic River Energy Conversion System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2317-5_58.

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Conference papers on the topic "PISO algorithm"

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Ren, Chaoqian, Ziyu Hu, Haowei Zhu, Mengran Wang, Fei Yang, and Danwen Song. "PIBO-RRT* Algorithm: Path Planning Algorithm for a Complex Environment." In 2025 5th International Conference on Computer, Control and Robotics (ICCCR). IEEE, 2025. https://doi.org/10.1109/icccr65461.2025.11072567.

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Francisco, Martim, Bernardo Ferreira, Fernando M. V. Ramos, Eduard Marin, and Salvatore Signorello. "P4chaskey: an Efficient Mac Algorithm for Pisa Switches." In 2024 IEEE 32nd International Conference on Network Protocols (ICNP). IEEE, 2024. https://doi.org/10.1109/icnp61940.2024.10858499.

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Zhang, Changen, Qing Cheng, Yuehang Si, and Jincai Huang. "Optimization of PISA Architecture Chip Resource Ranking Based on Genetic Algorithm." In 2024 13th International Conference on Communications, Circuits and Systems (ICCCAS). IEEE, 2024. http://dx.doi.org/10.1109/icccas62034.2024.10652801.

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Coleman, Jared, and Bhaskar Krishnamachari. "PISA: An Adversarial Approach to Comparing Task Graph Scheduling Algorithms." In 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2025. https://doi.org/10.1109/ipdps64566.2025.00014.

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Liberal, Bruna Brito, Gustavo de Hollanda Cavalcanti Soares, Arthur Henrique da Costa e. Silva, and Rachel Perez Palha. "Utilização do algoritmo DBSCAN para segmentação de nuvens de pontos de ambientes internos." In XX ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO. UFAL, 2024. http://dx.doi.org/10.46421/entac.v20i1.5834.

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Levantamentos feitos por laser scanners vêm sendo requisitados em um contexto deinovação e economia de recursos dentro do setor da Arquitetura, Engenharia, Construção eOperação (AECO), especialmente no campo BIM (Building Information Modeling), pois sãocapazes de gerar nuvens de pontos que representam com precisão o ambiente real. Apesarde facilitar os levantamentos, trabalhar com nuvens de pontos pode ser uma tarefa complexa,pois podem exigir poder de processamento computacional elevado, além da modelagem demodelos BIM a partir dessas nuvens não ser intuitiva devido à sobreposição de pontos d
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Li, Sibo, and Hongtao Qiao. "Development of a Fast Fluid Dynamics Model Based on PISO Algorithm for Simulating Indoor Airflow." In ASME 2021 Heat Transfer Summer Conference collocated with the ASME 2021 15th International Conference on Energy Sustainability. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/ht2021-63909.

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Abstract Real-time or faster-than-real-time flow simulation is crucial for studying airflow and heat transfer in buildings, such as building design, building emergency management and building energy performance evaluation. Computational Fluid Dynamics (CFD) with Pressure Implicit with Splitting of Operator (PISO) or Semi-Implicit Method for Pressure Linked Equations (SIMPLE) algorithm is accurate but requires great computational resources. Fast Fluid Dynamics (FFD) can reduce the computational effort but generally lack prediction accuracy due to simplification. This study developed a fast comp
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Liu, Weidong, Zhenguo Wang, Jin Zhou, and Fengchen Zhuang. "Numerical simulation of unsteady flow in liquid propellant rocket engine with PISO algorithm." In 32nd Joint Propulsion Conference and Exhibit. American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-3124.

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Wang, Shan, and C. Guedes Soares. "Numerical Assessment of Turbulence Effects on Water Entry of a Hemisphere." In ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-63733.

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Abstract Water entry of a rigid hemisphere is simulated using the unsteady incompressible Reynolds-Average Navier-Stokes (RANS) equations and volume of fluid (VOF) method, which are implemented in the open-source library OpenFoam. The solver InterDyMFoam is applied and the algorithm PIMPLE which is a combination of PISO (Pressure Implicit with Splitting of Operators) and SIMPLE (Semi-Implicit Method for pressure-Linked Equations) algorithms are used in the simulations. A second-order backward difference scheme is applied for the temporal discretization. A convergence and uncertainty study is p
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Utturkar, Yogen, Siddharth Thakur, and Wei Shyy. "Accurate Time-Dependent Computations and Reduced-Order Modeling for Multiphase Flows." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56236.

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In the present study, we initiate development of a non-iterative multiphase algorithm by enhancing the Pressure Implicit with Splitting of Operators (PISO) algorithm. The Gallium fusion problem, which is characterized by a solid-liquid phase front and natural convection effects, is employed as a test case for validation. The problem poses serious computational issues in form of a non-linear energy equation and a strong pressure-velocity-temperature coupling. The single-fluid modeling approach is adopted in conjunction with the enthalpy-based formulation for the temperature equation. The curren
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Felix, Kevin Lieus, Rudi Irawan, and Mohammad Yamin. "Analysis of CFD modeling LES-Based with SIMPLE algorithm & PISO of bladeless wind turbine Vortex-Induced vibration cylindrical structure." In PROCEEDINGS OF THE 7TH INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2021. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0228422.

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