混杂纤维再生砖骨料混凝土正交试验及卷积神经网络预测分析

doi:10.11896/cldb.20090123

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Abstract Orthogonal test was used to study the influence of the three factors of recycled aggregate ratio, hybrid fiber ratio and the amount of water reducing agent on the mechanical properties sensitivity of hybrid fiber recycled brick aggregate concrete, and the experimental results were predicted and analyzed by convolution neural network. The results show that the ratio of recycled brick aggregate to recycled concrete aggregate has the greatest influence on the compressive and splitting tensile strength of hybrid fiber recycled brick aggregate concrete, followed by the amount of water reducing agent, and finally the ratio of glass fiber to polypropylene fibers. The compressive strength and splitting tensile strength increase with the decrease of the ratio of recycled brick aggregate to recycled concrete aggregate, and decrease with the increase of the amount of water reducing agent. The convolution neural network model established in this paper has high prediction accuracy and can be used to analyze the test results with variable parameters.

Key words： recycled brick aggregate concrete hybrid fiber entropy weight method orthogonal test convolution neural network (CNN) compressive strength split tensile strength

Published: 03 November 2021

CLC number:

TU528

Fund:National Natural Science Foundation of China(51978566), Key R & D Projects of Shaanxi Province-Key Industry Innovation Project(2020ZDLNY06-04).

About author:: Wei Huang, doctor of engineering, professor and doctoral supervisor, mainly engaged in research on prefabricated buildings and green materials. At present, he has presided over five national level projects of National Natural Science Foundation of China; published 150 core journal papers, including 50 SCI and EI retrieval papers; won one second prize of national science and technology progress award and seven provincial and ministerial level science and technology progress award.

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	HUANG Wei
	GE Pei
	LI Meng
	XU Hongfei

Cite this article:

HUANG Wei,GE Pei,LI Meng, et al. Orthogonal Test and Convolution Neural Network Prediction of Hybrid Fiber Recycled Brick Aggregate Concrete[J]. Materials Reports, 2021, 35(19): 19022-19029.

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http://www.mater-rep.com/EN/10.11896/cldb.20090123 OR http://www.mater-rep.com/EN/Y2021/V35/I19/19022

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