Materials Reports  2019, Vol. 33 Issue (Z2): 317-320 |
| INORGANIC MATERIALS AND CERAMIC MATRIX COMPOSITES |
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| Prediction of Comprehensive Performance of Concrete Based on BP Neural Network |
| LI Dihong, GAO Qun, XIA Xian, ZHANG Jingwei, YU Haiyang, WANG Yanjun, DAI Hanhan, XU Guodong
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| College of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044,China |
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Abstract In this paper, the BP neural network system is used to predict the comprehensive performance of concrete. As is well known, there are many factors affecting the performance of concrete materials, the experimental period is long, the amount of experiment is large, and accurate expe-rimental results can be obtained under a small number of experimental conditions, which is very important for the research work on concrete. The BP neural network system is used for the experimental design, which can predict the performance of concrete and has a strong guiding effect on the implementation experiment and experimental results. In this paper, many factors affecting the performance of concrete are used as input vectors. By predicting the system operation, more accurate results are obtained. Compared with the experimental values, the error is mainly distributed within 15%, and the individual has 24% prediction error. Based on this, the experimental work of concrete materials is carried out, which makes the experimental work have a clear trend and quickly obtain satisfactory experimental results.
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Published: 25 November 2019
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| About author:: Dihong Li obtained his Ph.D. in Materials Science from Harbin University of Architecture in 1998.From 2000 to 2001, he worked as a visiting scholar at the University of Tokyo in Japan for structural research on armor materials and ship materials. Professor Li Dihong has been engaged in the teaching and research of polymer-based composite materials for many years. He mainly studies the structural analysis of polymer-based composite materials, structural design, and integrated design of structures and processes. In the past five years, he has undertaken 11 scientific research projects with a total funding of 3.84 million yuan, 3 project leaders, 2.09 million yuan, and 2 national special projects with a total funding of 1.87 million yuan. Since he took office, he has published 43 academic papers and won 9 national invention patents. In the past five years, he has published 21 academic papers, including 4 in SCI and 9 in EI. There are 7 core journals and more than 4 national invention patents. |
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