Meshless Methods and Their Numerical Properties

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2D multiphysics simulation of pH-sensitive hydrogels
A01=Hua Li
A01=Shantanu S. Mulay
adaptive algorithms
Adaptive Refinement
advanced meshless numerical methods
Author_Hua Li
Author_Shantanu S. Mulay
Category=PBKS
Collocation Points
computational engineering
Computational Mechanics
Cosine Distribution
DC Method
Delta Function Property
differential equations modeling
diffuse
DQ Method
element
Element Free Galerkin Method
engineering analysis
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Field Nodes
form
free
galerkin
Global Error Norm
interpolation
local
Local High Gradient
Local Support Domain
Local Weak Form
Mechanical Equilibrium Equations
MEMS simulation
meshfree methods
Meshless Local Petrov Galerkin Method
meshless methods
MLS Approximation
multiphysics simulation
numerical analysis
Order Monomials
petrov
point
random differential quadrature method
Schur Polynomials
Semi-infinite Plate
Shape Functions
SPH Method
stability and adaptive analyses of a meshless method
stability theory
Transient Heat Conduction Equation
Virtual Nodes
Wave Equation
weak

Product details

  • ISBN 9781466517462
  • Weight: 771g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Feb 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Meshless, or meshfree methods, which overcome many of the limitations of the finite element method, have achieved significant progress in numerical computations of a wide range of engineering problems. A comprehensive introduction to meshless methods, Meshless Methods and Their Numerical Properties gives complete mathematical formulations for the most important and classical methods, as well as several methods recently developed by the authors. This book also offers a rigorous mathematical treatment of their numerical properties—including consistency, convergence, stability, and adaptivity—to help you choose the method that is best suited for your needs.

Get Guidance for Developing and Testing Meshless Methods

Developing a broad framework to study the numerical computational characteristics of meshless methods, the book presents consistency, convergence, stability, and adaptive analyses to offer guidance for developing and testing a particular meshless method. The authors demonstrate the numerical properties by solving several differential equations, which offer a clearer understanding of the concepts. They also explain the difference between the finite element and meshless methods.

Explore Engineering Applications of Meshless Methods

The book examines how meshless methods can be used to solve complex engineering problems with lower computational cost, higher accuracy, easier construction of higher-order shape functions, and easier handling of large deformation and nonlinear problems. The numerical examples include engineering problems such as the CAD design of MEMS devices, nonlinear fluid-structure analysis of near-bed submarine pipelines, and two-dimensional multiphysics simulation of pH-sensitive hydrogels. Appendices supply useful template functions, flowcharts, and data structures to assist you in implementing meshless methods.

Choose the Best Method for a Particular Problem

Providing insight into the special features and intricacies of meshless methods, this is a valuable reference for anyone developing new high-performance numerical methods or working on the modelling and simulation of practical engineering problems. It guides you in comparing and verifying meshless methods so that you can more confidently select the best method to solve a particular problem.

Dr. Hua Li is currently an assistant professor at the School of Mechanical and Aerospace Engineering at Nanyang Technological University in Singapore. His research interests include the modeling and simulation of MEMS, focusing on the use of smart hydrogels in BioMEMS applications; the development of advanced numerical methodologies; and the dynamics of high-speed rotating shell structures. He has authored or co-authored several books and book chapters, as well as more than 110 articles published in top international peer-reviewed journals. His research has been extensively funded by agencies and industries and he acted as the principal investigator of a computational BioMEMS project awarded under A*STAR’s Strategic Research Programme in MEMS.

Dr. Shantanu S. Mulay currently works as a postdoctoral associate with Professor Rohan Abeyaratne of Massachusetts Institute of Technology as part of the Singapore–MIT Alliance for Research and Technology (SMART). Before joining Nanyang Technological University (NTU), Dr. Mulay worked in product enhancement of DMU (CATIA workbench) and the development of NISA (FEM product), where he gained exposure to a variety of areas such as the development of CAD translators, computational geometry, and handling user interfaces of FEM products. During his Ph.D. program at NTU, Dr. Mulay worked extensively in the field of computational mechanics and developed a meshless random differential quadrature (RDQ) method.

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