A CONSTRAINT-BASED APPROACH FOR QUALITATIVE MATRIX STRUCTURAL-ANALYSIS

被引:3
作者
SCHWARTZ, DI [1 ]
CHEN, SS [1 ]
机构
[1] SUNY BUFFALO,DEPT CIVIL ENGN,APPL ARTIFICIAL INTELLIGENCE LAB,BUFFALO,NY 14260
来源
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING | 1995年 / 9卷 / 01期
关键词
QUALITATIVE REASONING; STRUCTURAL ENGINEERING; ARTIFICIAL INTELLIGENCE; CONSTRAINT SATISFACTION; LOGIC PROGRAMMING;
D O I
10.1017/S0890060400002067
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Qualitative physics, a subfield of artificial intelligence, adapts intuitive and non-numerical reasoning for descriptive analysis of physical systems. The application of a set-based qualitative algebra to matrix analysis (QMA) allows for the development of a qualitative matrix stiffness methodology for linear elastic structural analysis. The unavoidable introduction of arithmetic ambiguity requires the reinforcement of physical constraints complementary to standard matrix operations. The overall analysis technique incorporates such constraints within the set-based framework with logic programming. Truss, beam, and frame structures demonstrate constraint relationships, which prune spurious solutions resulting from qualitative arithmetic relations. Though QMA is not a panacea for all structural applications, it provides greater insight into new notions of physical analysis.
引用
收藏
页码:23 / 36
页数:14
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