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

材料导报

2021, Vol. 35

Issue (19): 19022-19029 https://doi.org/10.11896/cldb.20090123

材料与可持续发展(四)——材料再制造与废弃物料资源化利用^*

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

黄炜¹, 葛培¹, 李萌², 许洪飞¹

1 西安建筑科技大学土木工程学院,西安 710055
2 陕西省天然气股份有限公司,西安 710055

Orthogonal Test and Convolution Neural Network Prediction of Hybrid Fiber Recycled Brick Aggregate Concrete

HUANG Wei¹, GE Pei¹, LI Meng², XU Hongfei¹

1 College of Civil Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China
2 Shaanxi Provincial Natural Gas Co.,Ltd., Xi'an 710055, China

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摘要利用正交试验研究了再生骨料比例、混杂纤维比例以及减水剂掺量三个因素对混杂纤维再生砖骨料混凝土力学性能敏感性的影响,并利用卷积神经网络(CNN)对试验结果进行了预测分析和变参数扩展分析。结果表明:再生砖骨料(RBA)与再生混凝土骨料(RCA)的比例对混杂纤维再生砖骨料混凝土的抗压强度及劈裂抗拉强度的影响最大,其次是减水剂掺量,最后是玻璃纤维(GF)与聚丙烯纤维(PF)的比例。抗压强度及劈裂抗拉强度随着RBA与RCA的比例的减小而增大,随着减水剂掺量的增大而减小。本工作建立的CNN模型具有较高的预测精度,并且可以用于试验结果的变参数扩展分析。

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关键词: 再生砖骨料混凝土混杂纤维熵权法正交试验卷积神经网络(CNN) 抗压强度劈裂抗拉强度

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

出版日期: 2021-10-10 发布日期: 2021-11-03

ZTFLH:

TU528

基金资助: 国家自然科学基金项目(51978566);陕西省重点研发计划项目-重点产业创新链项目(2020ZDLNY06-04)

通讯作者: 3160586537@qq.com

作者简介: 黄炜,工学博士,教授,博士研究生导师,主要从事装配式建筑和绿色材料的相关研究。现已主持国家自然科学基金5项;发表核心期刊论文150篇,其中SCI、EI检索50篇;获国家科技进步二等奖1项、省部级科技进步奖7项。

引用本文:

黄炜, 葛培, 李萌, 许洪飞. 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[J]. 材料导报, 2021, 35(19): 19022-19029.
HUANG Wei, GE Pei, LI Meng, XU Hongfei. Orthogonal Test and Convolution Neural Network Prediction of Hybrid Fiber Recycled Brick Aggregate Concrete. Materials Reports, 2021, 35(19): 19022-19029.

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

1 Su H, Tang Y, Han G S, et al. China Concrete and Cement Products, 2014(10), 93(in Chinese).
宿辉, 唐阳, 韩国松, 等. 混凝土与水泥制品, 2014(10), 93.
2 Tian Z W. Analysis on the constructed wetlands' purification for Urban Lakes. Master's Thesis, Hebei University of Engineering, China, 2015(in Chinese).
田志伟. 富含砖粒的再生混凝土试验研究. 硕士学位论文, 河北工程大学, 2015.
3 Gao D Y, Jing J H, Zhou X. Acta Materiae Compositae Sinica, 2018, 35(12), 213(in Chinese).
高丹盈, 景嘉骅, 周潇. 复合材料学报, 2018, 35(12), 213.
4 Chen Z P, Zhou C H, Xu D Y, et al. Chinese Journal of Applied Mechanics, 2017, 34(1), 180(in Chinese).
陈宗平, 周春恒, 徐定一, 等. 应用力学学报, 2017, 34(1), 180.
5 Guo Y X, Li Q Y, Yue G B, et al. Journal of Building Structures, 2018, 39(4), 153(in Chinese).
郭远新, 李秋义, 岳公冰, 等. 建筑结构学报, 2018, 39(4), 153.
6 Xiao J Z, Du J T. Journal of Building Materials, 2008, 11(1), 111(in Chinese).
肖建庄, 杜江涛. 建筑材料学报, 2008, 11(1), 111.
7 Cui Z L, Lu S S, Wang Z H. Journal of Building Materials, 2012, 15(2), 264(in Chinese).
崔正龙, 路沙沙, 汪振双. 建筑材料学报, 2012, 15(2), 264.
8 Liang J F, He C F, Wang C C, et al. Concrete, 2014(4), 56(in Chinese).
梁炯丰, 何春锋, 王长诚, 等. 混凝土, 2014(4), 56.
9 Liu Z Z, Xiao B, Li X L, et al. Concrete, 2011(3), 79(in Chinese).
刘子振, 肖斌, 李晓龙, 等. 混凝土, 2011(3), 79.
10 Yang J, Du Q, Bao Y. Construction and Building Materials, 2011, 25(4), 1935.
11 Zhang S P, Zong L. Environmental Progress & Sustainable Energy, 2014, 33(4), 1283.
12 Nepomuceno M C S, Isidoro R A S, Catarino J P G. Construction & Building Materials, 2018, 165, 284.
13 Zhao A H, Zhai A L, Han J, et al. Journal of Water Resources and Architectural Engineering, 2014, 12(3), 98(in Chinese).
赵爱华, 翟爱良, 韩健, 等. 水利与建筑工程学报,2014,12(3),98.
14 Lawler J S, Zampini D, Shah S P. Journal of Materials in Civil Enginee-ring, 2005, 17(5), 595.
15 Afroughsabet V, Biolzi L, Ozbakkaloglu T. Journal of Materials Science, 2016, 51(14), 6517.
16 Banthia N, Gupta R. Materials and Structures, 2004, 37(10), 707.
17 Hossain K M A, Lachemi M, Sammour M, et al. Construction & Building Materials, 2013, 45, 20.
18 Tan H X, Fan Z F, Wang C P, et al. Natural Science Journal of Xiangtan University, 2011, 33(3), 65(in Chinese).
谭红霞, 范志甫, 汪超平, 等. 湘潭大学自然科学学报, 2011, 33(3), 65.
19 Chen A J, Wang J, Zhang Q. Concrete, 2009(1), 79(in Chinese).
陈爱玖, 王静, 章青. 混凝土, 2009(1), 79.
20 Zhou S C, Liu J J, Zhong X F, et al. Computer science, 2021, 48(7), 40(in Chinese).
周仕承, 刘京菊, 钟晓峰, 等. 计算机科学, 2021, 48(7), 40.
21 Rampasek L, Goldenberg A. Cell Systems, 2016, 2(1), 12.
22 Abadi M. ACM Sigplan Notices, 2016, 51(1), 1.
23 Han S J, Tan S Z. Computer Applications and Software, 2018, 35(6), 267(in Chinese).
韩山杰, 谈世哲. 计算机应用与软件, 2018, 35(6), 267.
24 Deng F, He Y, Zhou S, et al. Construction & Building Materials, 2018, 175, 562.
25 Huang M, Zhao Y R, Yuan J J, et al. Journal of Henan University of Engineering, 2019, 31(4), 22(in Chinese).
皇民, 赵玉如, 苑俊杰, 等. 河南工程学院学报(自然科学版), 2019, 31(4), 22.
26 Zhou S X, Sheng W, He S A. Concrete, 2019(7), 27(in Chinese).
周双喜, 盛伟, 何顺爱. 混凝土, 2019(7), 27.
27 Standard for test method of mechanical properties on ordinary concrete:GB/T50081-2002, China Architecture & Building Press, China, 2002(in Chinese).
普通混凝土力学性能试验方法标准:GB/T50081-2002, 中国建筑工业出版社, 2002.
28 Lv Z H, Cheng M, Jiang X S, et al. Shanxi Architecture, 2019, 45(11), 92(in Chinese).
吕志恒, 程铭, 蒋喜生, 等. 山西建筑, 2019, 45(11), 92.
29 Li Q. Architecture material, Tsinghua University Press, China, 2015(in Chinese).
李迁. 土木工程材料, 清华大学出版社, 2015.
30 Delgado A, Romero I. Environmental Modelling & Software, 2016, 77(3), 108.
31 Liu Z, Duanmu J S, Wang Q, et al. Mathematics Practice and Knowledge, 2005(10), 116(in Chinese).
刘智, 端木京顺, 王强, 等. 数学的实践与认识, 2005(10), 116.

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