Forecasting of the Terminal Bearing Capacity in Sections of Reinforced Concrete Column Under Bending and Compression:On the Basis of BP Neural Network

Journal of South China University of Technology (Natural Science Edition) ›› 2005, Vol. 33 ›› Issue (8): 80-82,94.

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Forecasting of the Terminal Bearing Capacity in Sections of Reinforced Concrete Column Under Bending and Compression:On the Basis of BP Neural Network

Jiao Jun-ting¹Ye Ying-hua¹Diao Bo¹Yu Lin-chong²

1. Dept. of Civil Engineering, Beijing Univ. of Aeronautics & Astronautics, Beijing 100083, China;2. Dept. of Civil Engineering, J iaying Univ. , Meizhou 514015, Guangdong, China)

Received:2004-11-08 Online:2005-08-25 Published:2005-08-25
Contact: 焦俊婷(1968-) ,女,副教授,博士生,主要从事钢筋混凝土结构非线性研究. E-mail:ylc@jyu. edu. cn
About author:焦俊婷(1968-) ,女,副教授,博士生,主要从事钢筋混凝土结构非线性研究.
Supported by:
国家自然科学基金资助项目(50178008)

Abstract

Abstract:

A mode l is p resented to forecast the terminal bearing capacity in the sections of reinforced conc rete (RC) columns under bi-axial bending and compression. By taking the main factors affecting the bearing capacity, such as the section dimension, the concre te strength, the loading angle and the reinforce ratio, as the model parameters, and by using the numerical simulation results as the training specimens, a fo recasting model is established based on BP neural network. It is verified that the proposed model is of excellent fo recasting ability for the terminal bearing capac ity of RC columns under bi-axial bending and compression.

Key words: reinforced concrete, bi-axial bending and compression, bearing capacity, forecasting, neural network

Jiao Jun-ting Ye Ying-hua Diao Bo Yu Lin-chong. Forecasting of the Terminal Bearing Capacity in Sections of Reinforced Concrete Column Under Bending and Compression:On the Basis of BP Neural Network[J]. Journal of South China University of Technology (Natural Science Edition), 2005, 33(8): 80-82,94.

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Forecasting of the Terminal Bearing Capacity in Sections of Reinforced Concrete Column Under Bending and Compression:On the Basis of BP Neural Network

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