A KNOWLEDGE-BASE FOR FINITE-ELEMENT MESH DESIGN

被引:7
|
作者
DOLSAK, B
JEZERNIK, A
BRATKO, I
机构
[1] UNIV LJUBLJANA,FAC ELECT ENGN & COMP SCI,LJUBLJANA,SLOVENIA
[2] JOZEF STEFAN INST,LJUBLJANA,SLOVENIA
来源
ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1994年 / 9卷 / 01期
关键词
EXPERT SYSTEM; KNOWLEDGE BASE; MACHINE LEARNING; INDUCTIVE LOGIC PROGRAMMING; FINITE ELEMENT METHODS; FINITE ELEMENT MESH DESIGN;
D O I
10.1016/0954-1810(94)90003-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The finite element method (FEM) is the most successful numerical method, that is used extensively by engineers to analyse stresses and deformations in physical structures. These structures should be represented as a finite element mesh. Defining an appropriate geometric mesh model that ensures low approximation errors and avoids unnecessary computational overheads is a very difficult and time consuming task. It is the major bottleneck in the FEM analysis process. The inductive logic programming system GOLEM has been employed to construct the rules for deciding about the appropriate mesh resolution. Five cylindrical mesh models have been used as a source of training examples. The evaluation of the resulting knowledge base shows that conditions in the domain are well represented by the rules, which specify the required number of the finite elements on the edges of the structures to be analysed using FEM. A comparison between the results obtained by this knowledge base and conventional mesh generation techniques confirms that the application of inductive logic programming is an effective approach to solving the problem of mesh design.
引用
收藏
页码:19 / 27
页数:9
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