Particle Finite Element Method

Classical Mechanics: Including an Introduction to the Theory of Elasticity  eBooks & eLearning

Posted by AvaxGenius at May 25, 2022
Classical Mechanics: Including an Introduction to the Theory of Elasticity

Classical Mechanics: Including an Introduction to the Theory of Elasticity by Reinhard Hentschke
English | PDF(True) | 2017 | 392 Pages | ISBN : 3319487094 | 8.8 MB

This textbook teaches classical mechanics as one of the foundations of physics. It describes the mechanical stability and motion in physical systems ranging from the molecular to the galactic scale.
Aside from the standard topics of mechanics in the physics curriculum, this book includes an introduction to the theory of elasticity and its use in selected modern engineering applications, e.g. dynamic mechanical analysis of viscoelastic materials. The text also covers many aspects of numerical mechanics, ranging from the solution of ordinary differential equations, including molecular dynamics simulation of many particle systems, to the finite element method. Attendant Mathematica programs or parts thereof are provided in conjunction with selected examples. Numerous links allow the reader to connect to related subjects and research topics.

Meshfree Methods for Partial Differential Equations IV  eBooks & eLearning

Posted by AvaxGenius at June 10, 2022
Meshfree Methods for Partial Differential Equations IV

Meshfree Methods for Partial Differential Equations IV by Michael Griebel
English | PDF | 2008 | 404 Pages | ISBN : 3540799931 | 23.9 MB

The numerical treatment of partial differential equations with particle methods and meshfree discretization techniques is a very active research field both in the mathematics and engineering community. Due to their independence of a mesh, particle schemes and meshfree methods can deal with large geometric changes of the domain more easily than classical discretization techniques. Furthermore, meshfree methods offer a promising approach for the coupling of particle models to continuous models.

Particle-Based Methods: Fundamentals and Applications (repost)  eBooks & eLearning

Posted by interes at Oct. 11, 2018
Particle-Based Methods: Fundamentals and Applications (repost)

Particle-Based Methods: Fundamentals and Applications (Computational Methods in Applied Sciences) by Eugenio Oñate and Roger Owen
English | ISBN: 9400707347, 9400735375 | 2011 | 267 pages | PDF | 44,6 MB

Meshfree Particle Methods  eBooks & eLearning

Posted by AvaxGenius at Dec. 20, 2023
Meshfree Particle Methods

Meshfree Particle Methods by Shaofan Li , Wing Kam Liu
English | PDF (True) | 2004 | 509 Pages | ISBN : 3540222561 | 11.1 MB

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.
Understanding the Discrete Element Method: Simulation of Non-Spherical Particles for Granular and Multi-body Systems

Hans-Georg Matuttis, "Understanding the Discrete Element Method: Simulation of Non-Spherical Particles for Granular and Multi-body Systems"
English | ISBN: 111856720X | 2014 | 448 pages | PDF | 12 MB

Understanding the Discrete Element Method  eBooks & eLearning

Posted by hill0 at Oct. 15, 2021
Understanding the Discrete Element Method

Understanding the Discrete Element Method:
Simulation of Non-Spherical Particles for Granular and Multi-body Systems

English | 2014 | ISBN: 111856720X | 371 Pages | True EPUB | 21 MB

"Computational Fluid Dynamics 2010" ed. by Alexander Kuzmin (Repost)  eBooks & eLearning

Posted by exLib at Nov. 2, 2017
"Computational Fluid Dynamics 2010" ed. by Alexander Kuzmin (Repost)

"Computational Fluid Dynamics 2010" ed. by Alexander Kuzmin
Proceedings of the Sixth International Conference on Computational Fluid Dynamics, ICCFD6, St Petersburg, Russia, on July 12-16, 2010
Spr | 2011 | ISBN: 3642178839 9783642178832 | 995 pages | PDF | 42 MB

The proceedings contain a selection of refereed contributions and are meant to serve as a source of reference for all those interested in the state of the art in computational fluid dynamics.

Handbook of Numerical Heat Transfer, Second Edition  eBooks & eLearning

Posted by insetes at July 29, 2022
Handbook of Numerical Heat Transfer, Second Edition

Handbook of Numerical Heat Transfer, Second Edition By
2006 | 963 Pages | ISBN: 0471348783 | PDF | 138 MB

Mesh reduction methods : BEM/MRM XXXI  eBooks & eLearning

Posted by insetes at April 8, 2019
Mesh reduction methods : BEM/MRM XXXI

Mesh reduction methods : BEM/MRM XXXI By Brebbia C.A. (ed.)
2009 | 427 Pages | ISBN: 1845641973 | PDF | 8 MB

Numerical Simulation in Biomechanics and Biomedical Engineering  eBooks & eLearning

Posted by AvaxGenius at Jan. 6, 2022
Numerical Simulation in Biomechanics and Biomedical Engineering

Numerical Simulation in Biomechanics and Biomedical Engineering by Mauro Malvè
English | PDF | 2021 | 302 Pages | ISBN : 3036522115 | 78.9 MB

In the first contribution, Morbiducci and co-workers discuss the theoretical and methodological bases supporting the Lagrangian- and Euler-based methods, highlighting their application to cardiovascular flows. The second contribution, by the Ansón and van Lenthe groups, proposes an automated virtual bench test for evaluating the stability of custom shoulder implants without the necessity of mechanical testing. Urdeitx and Doweidar, in the third paper, also adopt the finite element method for developing a computational model aim to study cardiac cell behavior under mechano-electric stimulation. In the fourth contribution, Ayensa-Jiménez et al. develop a methodology to approximate the multidimensional probability density function of the parametric analysis obtained developing a mathematical model of the cancer evolution.