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A hybrid expert system for finite element modeling of fuselage frames
A hybrid expert system which integrates an expert system with neural networks is developed for finite element modeling of the fuselage frame of an aircraft structure. Importance order parameters are introduced to quantify the modeling control. Expert knowledge of importance order parameters, node setting and element selection in fuselage frame modeling is presented. A neural network is employed to structure type classification. The modeling procedures of the fuselage frame can be carried out automatically and efficiently by this system. An example shows the frame 1022 of the MD-82 passenger aircraft which is modeled by this system automatically and successfully.
A hybrid expert system for finite element modeling of fuselage frames
A hybrid expert system which integrates an expert system with neural networks is developed for finite element modeling of the fuselage frame of an aircraft structure. Importance order parameters are introduced to quantify the modeling control. Expert knowledge of importance order parameters, node setting and element selection in fuselage frame modeling is presented. A neural network is employed to structure type classification. The modeling procedures of the fuselage frame can be carried out automatically and efficiently by this system. An example shows the frame 1022 of the MD-82 passenger aircraft which is modeled by this system automatically and successfully.
A hybrid expert system for finite element modeling of fuselage frames
Li, Shuixiang (author) / Qiao, Minggao (author)
Expert Systems with Applications ; 24 ; 87-93
2003
7 Seiten, 13 Quellen
Article (Journal)
English
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