Shear Bearing Capacity Forecast of Reinforced Concrete Frame Abnormal Node Based on the BP Neural Network Theory

Abstract:

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In order to forecast shear bearing capacity of reinforced concrete frame abnormal node on the basis of analyzing feedforward neural network theory, the complex nonlinear relationship, which is between shear bearing capacity of reinforced concrete frame abnormal node under the low cyclic loading and each major influence factor, is simulated by BP neural network, and the neural network prediction model is built. The comparison with the result of experiment has brought satisfying result. The method of shear bearing capacity forecast of reinforced concrete frame abnormal node based on the BP neural network theory is proved feasible and applicable.

Info:

Periodical:

Advanced Materials Research (Volumes 368-373)

Edited by:

Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren

Pages:

66-71

DOI:

10.4028/www.scientific.net/AMR.368-373.66

Citation:

H. Li et al., "Shear Bearing Capacity Forecast of Reinforced Concrete Frame Abnormal Node Based on the BP Neural Network Theory", Advanced Materials Research, Vols. 368-373, pp. 66-71, 2012

Online since:

October 2011

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Price:

$35.00

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