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PARTITION OF UNITY FINITE ELEMENT AND MESHLESS METHODS: ADVANCES AND ENGINEERING APPLICATIONS

Angelo Simone's picture

Ninth U.S. National Congress on computational mechanics
July 22 -26, 2007. San Francisco, California

A mini-symposium on

PARTITION OF UNITY FINITE ELEMENT AND MESHLESS METHODS: ADVANCES AND ENGINEERING APPLICATIONS (In honor of Prof. Tinsley Oden's 70th birthday).

 

Call for papers

Partition of unity finite element and meshless methods have gained
considerable interest in the engineering community because of undoubtful
advantages over traditional spatial discretization approaches. Indeed, the use
of tailored enrichment functions and the freedom of mesh-free analysis have
spurred the use of these two approaches in a wide range of application
domains.

This mini-symposium aims at bringing together engineers, researchers and
scientists to discuss advances of theoretical and technological nature and to
exchange ideas, results and applications in these two broad families of
computational methods.

We invite submissions that focus on applications and new developments of
partition of unity finite element methods, like generalized FEM and extended
FEM, and meshless methods, like Diffuse Element Method, Element-Free Galerkin
Method, hp-Clouds and Reproducing Kernel Particle Method.

Applications to the mechanics of fracture mechanisms, description of failure
mechanisms ranging from the macro to the micro scale, multiscale problems, and
advanced microstructural analysis, are particularly welcome.

 

Organizers:

Carlos Armando Duarte
caduarte@uiuc.edu
University of Illinois at Urbana-Champaign, Department Civil and Environmental Engineering
2122 Newmark Laboratory MC 250, 205 North Mathews Av., Urbana, Illinois 61801 USA

Angelo Simone
a.simone@tudelft.nl
Delft University of Technology, Faculty of Civil Engineering and Geosciences
Stevinweg 1, 2628 CN Delft, the Netherlands

Theofanis Strouboulis
fanis01@hotmail.com
Texas A&M University, Department of Aerospace Engineering
746B H.R. BRIGHT BUILDING, 3141 TAMU College Station, TX 77843-3141

John Dolbow
jdolbow@duke.edu
Duke University, Department of Civil and Environmental Engineering
Box 90287 Hudson Hall, Durham, NC 27708-0287

How to formulate a partial differential equation by Reproducing Kernel Particle Method?

Angelo Simone's picture

The paper below presents the theory and gives some examples.

Reproducing Kernel Particle Methods
W. K. Liu, Jun, S., and Zhang, Y. F.
International Journal for Numerical Methods in Fluids, vol. 20, pp. 1081-1106, 1995

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