Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 368-373)
Chapter
Chapter 1: High Strength High Performance Materials and New Structural System
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, S. L. Hao, D. F. Zhang, "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
$32.00
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