Particle-Based Methods

Fundamentals and Applications

Author: Eugenio Oñate

Publisher: Springer Science & Business Media

ISBN:

Category: Science

Page: 268

View: 436

The book contains 11 chapters written by relevant scientists in the field of particle-based methods and their applications in engineering and applied sciences. The chapters cover most particle-based techniques used in practice including the discrete element method, the smooth particle hydrodynamic method and the particle finite element method. The book will be of interest to researchers and engineers interested in the fundamentals of particle-based methods and their applications.

Particle-based Methods, Fundamentals and Applications

Proceedings of the International Conference on Particle-Based Methods, Fundamentals and Applications (Particles 2009) Held in Barcelona, Spain, 25-27 November 2009

Author: Eugenio Oñate Ibáñez de Navarra

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Page: 463

View: 181

Meshfree Particle Methods

Author: Shaofan Li

Publisher: Springer Science & Business Media

ISBN:

Category: Mathematics

Page: 502

View: 410

Meshfree Particle Methods is a comprehensive and systematic exposition of particle methods, meshfree Galerkin and partitition of unity methods, molecular dynamics methods, and multiscale methods. Most theories, computational formulations, and simulation results presented are recent developments in meshfree methods. They were either just published recently or even have not been published yet, many of them resulting from the authors ́ own research. The presentation of the technical content is heuristic and explanatory with a balance between mathematical rigor and engineering practice. It can be used as a graduate textbook or a comprehensive source for researchers, providing the state of the art on Meshfree Particle Methods.

Particle-Based Methods

Fundamentals and Applications

Author: Eugenio Oñate

Publisher: Springer

ISBN:

Category: Technology & Engineering

Page: 268

View: 892

The book contains 11 chapters written by relevant scientists in the field of particle-based methods and their applications in engineering and applied sciences. The chapters cover most particle-based techniques used in practice including the discrete element method, the smooth particle hydrodynamic method and the particle finite element method. The book will be of interest to researchers and engineers interested in the fundamentals of particle-based methods and their applications.

Particle-based Methods II

Fundamentals and Applications ; Proceedings of the II International Conference on Particle-Based Methods, Fundamentals and Applications (Particles 2011) ; Barcelona, Spain, 26 - 28 October 2011

Author:

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Page: 36

View: 144

Advances in Computational Particle Based Methods

Author: Y. T. Feng

Publisher:

ISBN:

Category: Electronic books

Page: 259

View: 964

Computational particle based methods provide unique and powerful numerical tools for modelling systems exhibiting discrete and/or discontinuous behaviour, such as granular materials. Such systems are highly heterogeneous, typically composed of voids and particles with different sizes and shapes. Geological matter, soil and clay, soil-rock mixture in nature, geo-structure, concrete, etc. are some practical examples. Significant progress has been made in the development of particle based computational methods for granular materials in China over the last decade. This special issue contains 14 se.

Particle-based Animation

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View: 491

There is an ongoing interest in the field of physically-based computer animation for fast simulations of different materials and the interaction of the simulated objects. For the simulation of fluids and solids, particle-based methods are becoming a more and more attractive alternative to traditional mesh-based and grid-based concepts. In this thesis, many relevant topics for fluid simulations and elastic deformations based on the particle-based Smoothed Particle Hydrodynamics method are discussed. A weakly compressible fluid simulation is presented with a novel surface tension model. For the simulation of elastic solids, a corotated formulation is presented that can handle rigid body transformations of elastic solids correctly while being able to simulate even collinear and coplanar particle configurations. As efficient data structures are crucial for particle-based simulations, some concepts are presented and discussed in detail. For the search of neighboring particles an improved spatial hashing procedure is presented. In addition to optimized data structures, different aspects for the parallelization of particle-based methods are considered. As it is usually desired that simulated objects interact with each other, constraint methods are an important topic e. g. for contact and collision handling. A class of constraint methods based on a predictor-corrector scheme is presented in this thesis. Predictor-corrector schemes take into account the discrete nature of the underlying equations. They augment the discretized equations with constraint forces or impulses and directly solve the equations for the unknown forces. The proposed concept alleviates many of the disadvantages which arise for penalty-based and Lagrange multiplier methods. For all these methods, a local formulation is presented that allows to process the constraints in an efficient way by decoupling them from each other. In contrast to previous methods, which rely on the information from the current tim.

Algorithms for Particle Remeshing Applied to Smoothed Particle Hydrodynamics

Author: Nikhil Galagali

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Page: 63

View: 291

This thesis outlines adaptivity schemes for particle-based methods for the simulation of nearly incompressible fluid flows. As with the remeshing schemes used in mesh and grid-based methods, there is a need to use localized refinement in particle methods to reduce computational costs. Various forms of particle refinement have been proposed for particle-based methods such as Smoothed Particle Hydrodynamics (SPH). However, none of the techniques that exist currently are able to retain the original degree of randomness among particles. Existing methods reinitialize particle positions on a regular grid. Using such a method for region localized refinement can lead to discontinuities at the interfaces between refined and unrefined particle domains. In turn, this can produce inaccurate results or solution divergence. This thesis outlines the development of new localized refinement algorithms that are capable of retaining the initial randomness of the particles, thus eliminating transition zone discontinuities. The algorithms were tested through SPH simulations of Couette Flow and Poiseuille Flow with spatially varying particle spacing. The determined velocity profiles agree well with theoretical results. In addition, the algorithms were also tested on a flow past a cylinder problem, but with a complete domain remeshing. The original and the remeshed particle distributions showed similar velocity profiles. The algorithms can be extended to 3-D flows with few changes, and allow the simulation of multi-scale flows at reduced computational costs.

Numerical Modeling in Micromechanics via Particle Methods

International PFC Symposium, Gelsenkirchen, Germany, 6-8 November 2002

Author: H. Konietzky

Publisher: Routledge

ISBN:

Category: Technology & Engineering

Page: 334

View: 538

Particle methods have seen increasing use in several engineering and scientific fields, both because of their unique modelling capabilities and the availability of the necessary computational power. This title focuses on their theory and application.

Modeling in Engineering Using Innovative Numerical Methods for Solids and Fluids

Author: Laura De Lorenzis

Publisher: Springer Nature

ISBN:

Category: Science

Page: 220

View: 498

The book examines innovative numerical methods for computational solid and fluid mechanics that can be used to model complex problems in engineering. It also presents innovative and promising simulation methods, including the fundamentals of these methods, as well as advanced topics and complex applications. Further, the book explores how numerical simulations can significantly reduce the number of time-consuming and expensive experiments required, and can support engineering decisions by providing data that would be very difficult, if not impossible, to obtain experimentally. It also includes chapters covering topics such as particle methods addressing particle-based materials and numerical methods that are based on discrete element formulations; fictitious domain methods; phase field models; computational fluid dynamics based on modern finite volume schemes; hybridizable discontinuous Galerkin methods; and non-intrusive coupling methods for structural models.