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  HomeContents of Chinese Journal of Mechanical Engineering (English Edition),2007 No.1HYPERSTATIC STRUCTURE MAPPING MODEL BUILDING AND OPTIMIZING DESIGN





MILLS James K
Department of Mechanical and
Industrial Engineering,
University of Toronto,
Toronto M5S 3G8, Canada

 

 

HYPERSTATIC STRUCTURE MAPPING
MODEL BUILDING AND OPTIMIZING
DESIGN*

 

Abstract: Hyperstatic structure plane model being built by structural mechanics is studied. Space model precisely reflected in real stress of the structure is built by finite element method (FEM) analysis commerce software. Mapping model of complex structure system is set up, with convenient calculation just as in plane model and comprehensive information as in space model. Plane model and space model are calculated under the same working condition. Plane model modular construction inner force is considered as input data; Space model modular construction inner force is considered as output data. Thus specimen is built on input data and output data. Character and affiliation are extracted through training specimen, with the employment of nonlinear mapping capability of the artificial neural network. Mapping model with interpolation and extrapolation is gained, laying the foundation for optimum design. The steel structure of high-layer parking system (SSHLPS) is calculated as an instance. A three-layer back-propagation (BP) net including one hidden layer is constructed with nine input nodes and eight output nodes for a five-layer SSHLPS. The three-layer structure optimization result through the mapping model interpolation contrasts with integrity re-analysis, and seven layers structure through the mapping model extrapolation contrasts with integrity re-analysis. Any layer SSHLPS among 1~8 can be calculated with much accuracy. Amount of calculation can also be reduced if it is applied into the same topological structure, with reduced distortion and assured precision.

Key words: Plane model  Space model  Artificial neural networks  Mapping model
Optimum design

 


*This project is supported by Provincial Natural Science Foundation of Shanxi, China (No. 20041074), Provincial Natural Science Youth Foundation of Shanxi, China (No. 20051030) and Provincial Education Office Key Subject of Shanxi, China (No. 20045027-20045028). Received May 23, 2006; received in revised form October 31, 2006; accepted November 2, 2006

 

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