Solution reuse for model generation in numerical simulation

被引:1
作者
Finn, DP [1 ]
Cunningham, P
机构
[1] Natl Univ Ireland Univ Coll Dublin, Dept Engn Mech, Dublin 4, Ireland
[2] Univ Dublin Trinity Coll, Dept Comp Sci, Dublin 2, Ireland
来源
ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1998年 / 12卷 / 03期
关键词
solution reuse model generation; numerical simulation; case-based reasoning; derivational analogy; knowledge-based engineering;
D O I
10.1016/S0954-1810(97)00028-9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A knowledge-based tool that assists engineers with mathematical modelling in numerical simulation is described. The application domain covered includes engineering problems described by partial differential equations (e.g. heat transfer, fluid dynamics, structural analysis). In these applications, it is argued that mathematical modelling is primarily experiential in nature and is characterised by a weak domain theory. To date, existing research efforts have largely ignored this problem class and instead have focused on modelling in simpler application domains. This has been mainly achieved by exploiting approaches based on reasoning from first principles. One of the key issues that arises in modelling research is whether existing first principle approaches can be scaled to deal with more complex engineering application problems. In this work, this challenge is addressed by developing a modelling tool based on an alternative approach which exploits solution reuse. (C) 1998 Elsevier Science Limited. All rights reserved.
引用
收藏
页码:297 / 314
页数:18
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