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《Journal of Chongqing Jianzhu University》 2006-04
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Stochastic Static Analysis of Cable-Stayed Bridges Including Geometrical Nonlinearity Based on Artificial Neural Network

CHEN Tie-bing~1,TAN Ye-ping~2(1.School of Architecture and Environment Engineering,Shenzhen Polytechnic,Guangdong Shenzhen 518055,P.R.China;2.College of Architecture and Civil Engineering,Shenzhen University,Guangdong Shenzhen 518060,P.R.China)  
The static analysis of long-span and slender cable-stayed bridges including geometrical nonlinearity is an important task in design and structural analysis.However,the results from the static analysis will be variable when randomness in material properties,physical dimensions and loads have to be taken into account.In this paper,an approach of stochastic static analysis of cablestayed bridges including geometrical nonlinearity is presented based on artificial neural network(ANN).The ANN can be trained using a small set of numerical values obtained from the deterministic finite element method for cable-stayed bridges and the trained ANN can map the structural responses and stochastic variables such as material properties,physical dimensions and loads.A numerical example is given.The results show that the variation of the stochastic variables has a different influence to the structural responses of cable-stayed bridges.The variation of Young′s modulus of cables has a significant influence to the deflection of cable-stayed bridges at the middle of span compared to other stochastic variables.The variation of sectional area of girders has influence to the deflection of cable-stayed bridges at the middle of span and forces of cables anchored at the end of side span.
【Fund】: 建设部科研攻关项目(04-2-083)
【CateGory Index】: U448.27
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