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A boundary collocation meshfree method for the treatment of Poisson problems with complex morphologies

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A new meshfree method based on a discrete transformation of Green's basis functions is introduced to simulate Poisson problems with complex morphologies. The proposed Green's Discrete Transformation Method (GDTM) uses source points that are located along a virtual boundary outside the problem domain to construct the basis functions needed to approximate the field. The optimal number of Green's functions source points and their relative distances with respect to the problem boundaries are evaluated to obtain the best approximation of the partition of unity condition. A discrete transformation technique together with the boundary point collocation method is employed to evaluate the unknown coefficients of the solution series via satisfying the problem boundary conditions. A comprehensive convergence study is presented to investigate the accuracy and convergence rate of the GDTM. We will also demonstrate the application of this meshfree method for simulating the conductive heat transfer in a heterogeneous materials system and the dissolved aluminum ions concentration in the electrolyte solution formed near a passive corrosion pit.

Original languageEnglish
Pages (from-to)225-236
Number of pages12
JournalJournal of Computational Physics
Volume281
DOIs
StatePublished - Jan 5 2015

Bibliographical note

Publisher Copyright:
© 2014 Elsevier Inc..

Funding

This work has been supported by funding from the Department of Materials Science and Engineering and the College of Engineering at The Ohio State University .

Funders
Department of Materials Science and Engineering
Ohio Water Resources Center, Ohio State University
LSU College of Engineering

    Keywords

    • Boundary collocation
    • Discrete transformation
    • Fundamental solutions
    • Green's functions
    • Meshfree
    • Pitting corrosion

    ASJC Scopus subject areas

    • Numerical Analysis
    • Modeling and Simulation
    • Physics and Astronomy (miscellaneous)
    • General Physics and Astronomy
    • Computer Science Applications
    • Computational Mathematics
    • Applied Mathematics

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