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Статті в журналах з теми "Particle-based method"
Fair, Rebecca, Xiaohu Guo, and Tao Cui. "Particle sorting for the projection based particle method." Engineering Analysis with Boundary Elements 109 (December 2019): 199–208. http://dx.doi.org/10.1016/j.enganabound.2019.07.022.
Повний текст джерелаSÖDERSTEN, Axel, Takuya MATSUNAGA, Seiichi KOSHIZUKA, Tomoyuki HOSAKA, and Eiji ISHII. "Adaptive resizing-based multi-resolution particle method." Mechanical Engineering Journal 9, no. 1 (2022): 21–00309. http://dx.doi.org/10.1299/mej.21-00309.
Повний текст джерелаQian, Chen, and Keiichiro Yasuda. "Particle Swarm Optimization Based Global Descent Method." IEEJ Transactions on Electrical and Electronic Engineering 4, no. 6 (November 2009): 731–33. http://dx.doi.org/10.1002/tee.20472.
Повний текст джерелаLiu, Ce, Baotong Li, Qingfang Liu, Jun Hong, and Kaitai Li. "A novel implicit meshless particle method: NURBS-based particle hydrodynamics (NBPH)." Computer Methods in Applied Mechanics and Engineering 406 (March 2023): 115895. http://dx.doi.org/10.1016/j.cma.2023.115895.
Повний текст джерелаTabrizi-Zarringhabaei, Saman, Reza Goli Ejlali, Mikaeil Yousefzadeh Fard, and Sayyedjavad Sayyedfattahi. "AN IMAGE-BASED METHOD TO DETERMINE THE PARTICLE SIZE DISTRIBUTION (PSD) OF FINE-GRAINED SOIL." Rudarsko-geološko-naftni zbornik 34, no. 3 (2019): 81–88. http://dx.doi.org/10.17794/rgn.2019.3.9.
Повний текст джерелаShuan-Jun Song, Shuan-Jun Song, Cheng-Hong Qiu Shuan-Jun Song, Long-Guang Peng Cheng-Hong Qiu, and Sheng Hu Long-Guang Peng. "An Assembly Line Multi-Station Assembly Sequence Planning Method Based on Particle Swarm Optimization Algorithm." 電腦學刊 33, no. 1 (February 2022): 115–25. http://dx.doi.org/10.53106/199115992022023301011.
Повний текст джерелаZhang, Jingxiu, Zhiwei Zhang, and Longfei Hou. "Detection of Particle Concentration and Particle Size Based on Aerodynamic Particle Size Spectrometer." Advances in Multimedia 2022 (August 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/4152186.
Повний текст джерелаTian, Tian. "Detecting Particle Clusters in Particle-Fluid Systems by a Density Based Method." Communications in Computational Physics 26, no. 5 (June 2019): 1617–30. http://dx.doi.org/10.4208/cicp.2019.js60.09.
Повний текст джерелаQIU Jiatao, 邱家涛, 李玉山 LI Yushan, 王彩玲 WANG Cailing, and 刘洋 LIU Yang. "An Integral Histogrambased Particle Filtering Tracking Method." ACTA PHOTONICA SINICA 40, no. 11 (2011): 1761–66. http://dx.doi.org/10.3788/gzxb20114011.1761.
Повний текст джерелаWANG, Na. "Folded Airbag Simulation Based on Corpuscular Particle Method." Journal of Mechanical Engineering 51, no. 12 (2015): 120. http://dx.doi.org/10.3901/jme.2015.12.120.
Повний текст джерелаДисертації з теми "Particle-based method"
Shahadat, Sharif. "Improving a Particle Swarm Optimization-based Clustering Method." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2357.
Повний текст джерелаNAKAMURA, FABIO ISSAO. "FLUID INTERACTIVE ANIMATION BASED ON PARTICLE SYSTEM USING SPH METHOD." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2007. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=10087@1.
Повний текст джерелаNeste trabalho foi feito um estudo investigativo sobre animação de fluidos utilizando sistemas de partículas. Baseado nas propostas apresentadas por Muller et al., esta dissertação objetiva investigar e compreender o uso do método Lagrangeano baseado em partículas, conhecido como Smoothed Particle Hydrodynamics (SPH), para simulação de fluidos. A validação do método foi feita através da implementação de uma biblioteca capaz de animar fluidos a taxas interativas. Para testar a eficácia e eficiência do método, a biblioteca desenvolvida permite a instanciação de diferentes configurações, incluindo o tratamento de colisões do fluido com obstáculos, o tratamento da interação entre dois fluidos distintos e o tratamento de forças externas exercidas pelo usuário via um mecanismo de interação.
This work investigates the use of particle-based system for fluid animation. Based on proposals presented by Müller et al., the goal of this dissertation is to investigate and fully understand the use of a Lagrangian method known as Smoothed Particle Hydrodynamics (SPH) for fluid simulations. A library has been implemented in order to validate the method for fluid animation at interactive rate. To demonstrate the method effectiveness and efficiency, the resulting library allows the instantiation of different configurations, including the treatment of fluid-obstacle collisions, interaction between two distinct fluids, and fluid-user interaction.
Zhu, Ting. "Color-Based Fingertip Tracking Using Modified Dynamic Model Particle Filtering Method." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306863054.
Повний текст джерелаRamli, Muhammad Zahir Bin. "A particle based method for flow simulations in hydrodynamics and hydroelasticity." Thesis, University of Southampton, 2016. https://eprints.soton.ac.uk/412639/.
Повний текст джерелаZhang, Hao. "Numerical investigation of particle-fluid interaction system based on discrete element method." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284833.
Повний текст джерелаEsta tesis se centra en la investigación numérica de sistemas partícula-líquido basado en la técnica Discrete Element Method (DEM). La tesis consta de tres partes, en cada una de las cuales se ha acoplado el método DEM con diferentes esquemas/solucionadores en la fase fluida. En la primera parte, hemos acoplado los métodos DEM con Direct Numerical Simulation (DNS) para estudiar casos de "particle-laden turbulent flow". Se investigó numéricamente el efecto de las colisiones en el comportamiento de las partículas en el flujo turbulento completamente desarrollado en un conducto cuadrado recto. Tres tamaños de partículas se consideraron con diámetros de 50, 100 y 500 micrometros. En primer lugar, el transporte de partículas por el flujo turbulento se estudió en la ausencia del efecto gravitacional. Entonces, la deposición de partículas se estudió bajo el efecto de la fuerza de gravedad normal a la pared, en el que se discutieron la influencia de la tasa de colisiones en re-suspensión de las partículas y la fase final de la distribución de partículas en el suelo del conducto, respectivamente. En la segunda parte, se ha acoplado los métodos DEM con Lattice Boltzmann Method (LBM) para estudiar la sedimentación de partículas en flujo laminar newtoniano. Un nuevo metodo combinado LBM-IBM-DEM se presentó y ha sido aplicado para modelar la sedimentación de dos partículas circulares bi-dimensionales en flujos Newtonianos incompresibles. Se estudiaron casos de sedimentación en una cavidad de una sola esfera, y sedimentación de dos partículas en un canal, las características de la velocidad de la partícula durante la sedimentación y cerca de la base fueron también examinados. En el último caso, un ejemplo numérico de sedimentación de 504 partículas fue finalmente presentado para demostrar la capacidad del método combinado. Además, se ha presentado un método "Particulate Immersed Boundary Method" (PIBM) para la simulación de flujos multifásicos partícula-fluido y ha sido evaluado en dos y tres dimensiones. En comparación con el método IBM convencional, se puede esperar con el mismo número de partículas y de malla un SpeedUp docenas de veces superior en la simulación bidimensional y cientos de veces en la simulación en tres dimensiones. Se llevaron a cabo simulaciones numéricas de la sedimentación de partículas en los flujos newtonianos basados en una combinación LBM - PIBM - DEM, mostrando que el PIBM podría capturar las características de los flujos de partículas en el líquido y fue en efecto un esquema prometedor para la solución de problemas de interacción fluido-partícula. En la última parte, se ha acoplado el método DEM con las ecuaciones promediadas de Navier-Stokes (NS) para estudiar el transporte de partículas y el proceso de desgaste en la pared de una tubería. Se utilizó un caso de transporte neumático para demostrar la capacidad del modelo acoplado. Entonces se simuló el proceso de bombeo de hormigón, de donde se obtuvo la presión hidráulica y la distribución de la velocidad de la fase fluida. Se monitoreó la frecuencia de impacto de las partículas en la tubería doblada, se propuso un nuevo modelo de intensidad de colisión promediado en tiempo para investigar el proceso de desgaste del codo basado en la fuerza de impacto. Se predijo la ubicación del daño máximo desgaste por erosión en el codo. Además, se examinaron las influencias de la velocidad de pulpa, la orientación y el ángulo de curvatura del codo en la ubicación del punto de punción.
Kulasegaram, S. "Development of particle based meshless method with applications in metal forming simulations." Thesis, Swansea University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637828.
Повний текст джерелаSarakini, Timon. "Image-based characterization of small papermakting particles - method development and particle classification." Thesis, KTH, Tillämpad fysik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181778.
Повний текст джерелаAhlman, Björn. "Coarse-Graining Fields in Particle-Based Soil Models." Thesis, Umeå universitet, Institutionen för fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-173534.
Повний текст джерелаTilki, Umut. "Imitation Of Human Body Poses And Hand Gestures Using A Particle Based Fluidics Method." Phd thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12615140/index.pdf.
Повний текст джерелаVelmurugan, Rajbabu. "Implementation Strategies for Particle Filter based Target Tracking." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14611.
Повний текст джерелаКниги з теми "Particle-based method"
Oñate, Eugenio, and Roger Owen, eds. Particle-Based Methods. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0735-1.
Повний текст джерелаOñate, Eugenio. Particle-Based Methods: Fundamentals and Applications. Dordrecht: Springer Science+Business Media B.V., 2011.
Знайти повний текст джерелаservice), ScienceDirect (Online, ed. Single molecule tools: Super-resolution, particle tracking, multiparameter and force based methods. San Diego, CA: Academic Press/Elsevier, 2010.
Знайти повний текст джерелаMaterial Point Method: A Continuum-Based Particle Method for Extreme Loading Cases. Elsevier Science & Technology Books, 2016.
Знайти повний текст джерелаLiu, Yan, Xiong Zhang, and Zhen Chen. Material Point Method: A Continuum-Based Particle Method for Extreme Loading Cases. Elsevier Science & Technology, 2016.
Знайти повний текст джерелаBao, Yun, Carl Chiarella, and Boda Kang. Particle Filters for Markov-Switching Stochastic Volatility Models. Edited by Shu-Heng Chen, Mak Kaboudan, and Ye-Rong Du. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199844371.013.9.
Повний текст джерелаOwen, Roger, and Eugenio Oñate. Particle-Based Methods: Fundamentals and Applications. Ingramcontent, 2013.
Знайти повний текст джерелаOwen, Roger, and Eugenio Oñate. Particle-Based Methods: Fundamentals and Applications. Springer, 2011.
Знайти повний текст джерела(Editor), Piotr Bretikopf, and Antonio Huerta (Editor), eds. Meshfree & Particle Based Approaches in Computational Mechanics. ISTE Publishing Company, 2004.
Знайти повний текст джерелаAllen, Michael P., and Dominic J. Tildesley. Long-range forces. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0006.
Повний текст джерелаЧастини книг з теми "Particle-based method"
Idelsohn, S. R., M. Mier-Torrecilla, J. Marti, and E. Oñate. "The Particle Finite Element Method for Multi-Fluid Flows." In Particle-Based Methods, 135–58. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0735-1_5.
Повний текст джерелаOñate, E., S. R. Idelsohn, M. A. Celigueta, R. Rossi, J. Marti, J. M. Carbonell, P. Ryzhakov, and B. Suárez. "Advances in the Particle Finite Element Method (PFEM) for Solving Coupled Problems in Engineering." In Particle-Based Methods, 1–49. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0735-1_1.
Повний текст джерелаMikki, Said M., and Ahmed A. Kishk. "The Classical Particle Swarm Optimization Method." In Particle Swarm Optimization: A Physics-Based Approach, 7–11. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01704-9_2.
Повний текст джерелаHojny, Marcin. "Spatial Solutions Based on the Particle Method." In Modeling Steel Deformation in the Semi-Solid State, 41–55. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40863-7_5.
Повний текст джерелаVeenhuis, Christian B. "A Set-Based Particle Swarm Optimization Method." In Parallel Problem Solving from Nature – PPSN X, 971–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-87700-4_96.
Повний текст джерелаMikki, Said M., and Ahmed A. Kishk. "Boundary Conditions for the Particle Swarm Optimization Method." In Particle Swarm Optimization: A Physics-Based Approach, 41–55. Cham: Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01704-9_4.
Повний текст джерелаWang, Wenfei, Rui Zhao, Lili Jia, Yu Cai, and Lin Mei. "Optimized Tracking Method Using GPU Based Particle Filter." In Communications in Computer and Information Science, 584–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31968-6_69.
Повний текст джерелаKakuda, Kazuhiko, Wataru Okaniwa, and Shinichiro Miura. "Droplet-Falling Impact Simulations by Particle-Based Method." In Computational and Experimental Simulations in Engineering, 223–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27053-7_21.
Повний текст джерелаDjerou, Leila, Naceur Khelil, and Mohamed Batouche. "Numerical Integration Method Based on Particle Swarm Optimization." In Lecture Notes in Computer Science, 221–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21515-5_26.
Повний текст джерелаChifu, V., R. Bonta, E. St Chifu, I. Salomie, and D. Moldovan. "Particle Swarm Optimization Based Method for Personalized Menu Recommendations." In International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania, 232–37. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52875-5_50.
Повний текст джерелаТези доповідей конференцій з теми "Particle-based method"
Dembele, Jean Marie, and Christophe Cambier. "Improving Lagrangian methods: toward an agent-particle based method." In 2nd International ICST Conference on Simulation Tools and Techniques. ICST, 2009. http://dx.doi.org/10.4108/icst.simutools2009.5658.
Повний текст джерелаDou, James, Lu Chen, Rakesh Nayyar, and Stewart Aitchison. "A microfluidic based optical particle detection method." In SPIE BiOS, edited by Robert J. Nordstrom and Gerard L. Coté. SPIE, 2012. http://dx.doi.org/10.1117/12.905049.
Повний текст джерелаIdelsohn, S. "The P-DNS method: a particle-based approach to solve turbulent fluid flows." In 7th edition of the International Conference on Particle-based Methods. CIMNE, 2021. http://dx.doi.org/10.23967/particles.2021.036.
Повний текст джерелаLi, Xin, Wenjie Chen, and Zengguang Shang. "A video tracking method based on Niche Particle Swarm Algorithm-Particle Filter." In 2012 10th World Congress on Intelligent Control and Automation (WCICA 2012). IEEE, 2012. http://dx.doi.org/10.1109/wcica.2012.6359384.
Повний текст джерелаStubbig, L., and R. Lichtenheldt. "Optimizing the Shape of Planetary Rover Wheels using the Discrete Element Method and Bayesian Optimization." In 7th edition of the International Conference on Particle-based Methods. CIMNE, 2021. http://dx.doi.org/10.23967/particles.2021.024.
Повний текст джерелаSteidel, S., J. Jahnke, X. Chang, A. Becker, and C. Vrettos. "Triaxial compression and direct shear tests in the parametrization of soil modeled via the Discrete Element Method." In 7th edition of the International Conference on Particle-based Methods. CIMNE, 2021. http://dx.doi.org/10.23967/particles.2021.013.
Повний текст джерелаWu, Songzhou, Pengfei Li, Fengshen Zhao, and Yuanpei Yang. "FastSLAM Method Based on Gaussian Particle Swarm Optimization." In 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/ifmeita-17.2018.66.
Повний текст джерелаJung, Sohyeon, and Wonbin Hong. "Machine Learning based Sub-wavelength Particle Detection Method." In 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting. IEEE, 2020. http://dx.doi.org/10.1109/ieeeconf35879.2020.9330105.
Повний текст джерелаChang, Yuanzhang, Kai Bao, Jian Zhu, and Enhua Wu. "High viscosity fluid simulation using particle-based method." In 2011 IEEE International Symposium on VR Innovation (ISVRI). IEEE, 2011. http://dx.doi.org/10.1109/isvri.2011.5759632.
Повний текст джерелаChang, Yuanzhang, Kai Bao, Youquan Liu, Jian Zhu, and Enhua Wu. "A particle-based method for viscoelastic fluids animation." In the 16th ACM Symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1643928.1643954.
Повний текст джерелаЗвіти організацій з теми "Particle-based method"
Tran, Linhbao, and H. S. Udaykumar. A Particle-Level-Set Based Sharp Interface Cartesian Grid Method for Impact, Penetration, and Void Collapse. Fort Belvoir, VA: Defense Technical Information Center, April 2003. http://dx.doi.org/10.21236/ada416946.
Повний текст джерелаZhang, Xingyu, Matteo Ciantia, Jonathan Knappett, and Anthony Leung. Micromechanical study of potential scale effects in small-scale modelling of sinker tree roots. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001235.
Повний текст джерелаBaral, Aniruddha, Jeffrey Roesler, M. Ley, Shinhyu Kang, Loren Emerson, Zane Lloyd, Braden Boyd, and Marllon Cook. High-volume Fly Ash Concrete for Pavements Findings: Volume 1. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-030.
Повний текст джерелаSparks, Paul, Jesse Sherburn, William Heard, and Brett Williams. Penetration modeling of ultra‐high performance concrete using multiscale meshfree methods. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41963.
Повний текст джерелаMuzyn, Gregory J., and Sudip K. Seal. PLATO (Parallel Load Assignment Tool): A Parallel Workload Partitioner for Particle-based Methods. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1424432.
Повний текст джерелаSaarnio, Karri, Mika Vestenius, and Katriina Kyllönen. Attestation of conformity of particulate matter measurements (HIVATO) 2019–2020. Finnish Meteorological Institute, December 2021. http://dx.doi.org/10.35614/isbn.9789523361331.
Повний текст джерелаFriedman, Shmuel, Jon Wraith, and Dani Or. Geometrical Considerations and Interfacial Processes Affecting Electromagnetic Measurement of Soil Water Content by TDR and Remote Sensing Methods. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580679.bard.
Повний текст джерелаShmulevich, Itzhak, Shrini Upadhyaya, Dror Rubinstein, Zvika Asaf, and Jeffrey P. Mitchell. Developing Simulation Tool for the Prediction of Cohesive Behavior Agricultural Materials Using Discrete Element Modeling. United States Department of Agriculture, October 2011. http://dx.doi.org/10.32747/2011.7697108.bard.
Повний текст джерелаArroyo, Marcos, Riccardo Rorato, Marco Previtali, and Matteo Ciantia. 2D Image-based calibration of rolling resistance in 3D discrete element models of sand. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001229.
Повний текст джерелаGrumet, Rebecca, and Benjamin Raccah. Identification of Potyviral Domains Controlling Systemic Infection, Host Range and Aphid Transmission. United States Department of Agriculture, July 2000. http://dx.doi.org/10.32747/2000.7695842.bard.
Повний текст джерела