AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (180.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline

An Adaptive Boundary Collocation Method for Plate Bending Problems

Xiaoping ZHENG( )Quanzhang HUANGBin WANG
Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China
Show Author Information

Abstract

A boundary collocation method based on the least-square technique and a corresponding adaptive computation process have been developed for the plate bending problem. The trial functions are constructed using a series of the biharmonic polynomials, and the local error indicators are given by the residuals of the energy density on the boundary. In comparison with the conventional collocation methods, the solution accuracy in the present method can be improved in an economical and efficient way. In order to demonstrate the efficiency and advantages of the adaptive boundary collocation method proposed in this paper, two numerical examples are presented for circular plates subjected to uniform loads and restrained by mixed boundary conditions. The numerical results for the examples show good agreement with ones presented in the literature.

References

【1】
【1】
 
 
Tsinghua Science and Technology
Pages 567-571

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
ZHENG X, HUANG Q, WANG B. An Adaptive Boundary Collocation Method for Plate Bending Problems. Tsinghua Science and Technology, 2007, 12(5): 567-571. https://doi.org/10.1016/S1007-0214(07)70134-7

3

Views

0

Downloads

0

Crossref

N/A

Web of Science

0

Scopus

0

CSCD

Received: 15 March 2007
Revised: 20 May 2007
Published: 01 October 2007
© Tsinghua University Press 2007