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

Hong Li; Sheng Ling Hao; Dong Fang Zhang

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

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Experiment Research on Mechanical Behavior for Latticed Concrete-Filled Steel Tubular Tower with Three Limbs
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Shear Bearing Capacity Forecast of Reinforced Concrete Frame Abnormal Node Based on the BP Neural Network Theory
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 368-373Shear Bearing Capacity Forecast of Reinforced...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 368-373)

Pages:

66-71

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.368-373.66

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Online since:

October 2011

Authors:

Hong Li, Sheng Ling Hao, Dong Fang Zhang

Keywords:

Abnormal Nodes of Reinforced Concrete Frame, BP Neural Network (BPNN), Forecast, Shear Bearing Capacity

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