Abstract
With the rapid development of artificial intelligence, intelligent systems have been applied in many fields. This paper introduces the application of intelligent system in FEA. The key technologies including the semantic representation of finite element knowledge, case matching and retrieval method are studied. XML technology is used to describe the case information, and the case matching algorithm is proposed by analyzing the characteristics of XML data structure. Then the similar case is applied to the new finite element analysis scenario to realize knowledge reuse. Finally, by means of Visual Studio 2012, C# object-oriented language, XML and SQL technology, the case retrieval and matching is completed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Qu CH. The application and prospect of computer aided engineering (CAE) technology [J]. Comput Knowl Technol. 2013;35(9):8105–6.
Miyoshi A, Yagawa G, Shimizu R. An interface agent system for CAE [J]. JSME Int J, Ser A. 2001;44(4):623–30.
Hetey L, Campbell J, Vignievic R. Advisory system development for reliable FEM modeling in aerospace [J]. Aircr Eng Aerosp Technol Int J. 2015;87(1):11–8.
Janghorban S, Wang Q. A knowledge-based magnetic component design system with finite element analysis integration [C]. 2015 (C. march 2015. Research Gate).
Cheng RQ, Zhou MY. The research on diagnosis technology of and expert system strategy [J]. J Lanzhou Railw Institute. 1999;18(2):77–81.
Jiang T. The research on case based reasoning based on ontology in complex product design systems [C]. The Third National Doctoral Forum on Informatics in 2013. Nanjing: Nanjing University; 2013:123–31.
Zhao M. The research based on CBR locomotive fault diagnosis expert system [D]. Changsha:Central South University; 2004.
Zeng JG. Research on case-based reasoning system of marketing crisis based on WEB and CBR [D]. Guilin: Guilin University of Technology; 2006.
Nie YZ. The study and implementation of sheep and goat diagosis [D]. Shanxi: Northwest A&F University; 2007.
Zhang YJ. Research on application of CBR in emergency decision-making for environmental massive events [J]. Saf Environ Eng. 2016;23(1):94–100.
Song S, Wu HT. Fast similar case retrieval method for digital film distribution [J]. Comput Eng Des. 2011;2:638–41.
Yan HC, Wang HF. Ontology case retrieval model based on SPA [J]. Tech Meth. 2014;21:75–8.
Acknowledgements
This work was financially supported by National Natural Science Foundation of China (No. 51305051), the program for Liaoning Excellent Talents in University (No. LJQ2015007), and the Liaoning Province Natural Science Foundation (No. 201602060).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ma, Q., Xie, D., Xue, P., Song, L., Zhou, M., Shi, J. (2018). Research on Key Technologies of Intelligent Finite Element Analysis Based on Knowledge Reuse. In: Tan, J., Gao, F., Xiang, C. (eds) Advances in Mechanical Design. ICMD 2017. Mechanisms and Machine Science, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-10-6553-8_28
Download citation
DOI: https://doi.org/10.1007/978-981-10-6553-8_28
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6552-1
Online ISBN: 978-981-10-6553-8
eBook Packages: EngineeringEngineering (R0)