Please wait a minute...
材料导报  2026, Vol. 40 Issue (10): 25110159-8    https://doi.org/10.11896/cldb.25110159
  无机非金属及其复合材料 |
面向韧性提升的玻璃纤维混凝土智能配比及性能研究
池千岛1, 全冠1,2,*, 李庆华1,2, 徐世烺1,2,*
1 浙江大学高性能结构研究所,杭州 310058
2 浙江大学长三角智慧绿洲创新中心工业智造实验室,浙江 嘉善 314102
Study on Intelligent Mix Proportions and Performance of Glass Fiber-reinforced Concrete for Toughness Enhancement
CHI Qiandao1, QUAN Guan1,2,*, LI Qinghua1,2, XU Shilang1,2,*
1 Institute of Advanced Engineering Structures, Zhejiang University, Hangzhou 310058, China
2 Intelligent Industrial Construction Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan 314102, Zhejiang, China
下载:  全 文 ( PDF ) ( 17834KB ) 
输出:  BibTeX | EndNote (RIS)      
摘要 使用纤维对水泥基材料进行增韧是改善水泥基材料脆性的重要方式。玻璃纤维是常用的纤维之一,其低廉的价格驱动研发高韧性玻璃纤维混凝土,以达到工程使用中降本增效的目的。然而,已有的研究中玻璃纤维对混凝土的增韧效果并不理想。本工作基于机器学习方法设计了适用于玻璃纤维的基体配合比,并针对不同的纤维掺量、纤维形态、配置方向和不同的基体设计了多组直接拉伸试验,通过直接拉伸试验的应力应变曲线、数字图像相关技术观测和微观电镜扫描观测,探究玻璃纤维对混凝土的增韧作用,并设计、配制出了极限拉伸应力达12.5 MPa、极限拉伸应变达9 681 με且同时具备高强度与高拉应变的高韧性玻璃纤维网混凝土。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
池千岛
全冠
李庆华
徐世烺
关键词:  玻璃纤维混凝土  玻璃纤维网  机器学习  直接拉伸试验  高韧性    
Abstract: Using fibers toincrease the toughness of cementitious materials is an important approach to mitigate their inherent brittleness. Glass fiber is one of the commonly-used types of fibers. Driven by its low cost, developing high-toughness glass fiber reinforced concrete can achieve the goal of cost efficiency. However, existing research has not yet achieved satisfactory effect on toughness increasing of glass fiber reinforced concrete. In this work, the matrix mix proportion which is suitable for glass fibers was designed using machine learning methods. Multiple groups of direct tensile tests were designed for different fiber dosages, fiber types, configuration directions and matrix ingredients. Through the stress-strain curves of the direct tensile tests, DIC observations and SEM observations, the toughening effect of glass fibers on concrete was explored and a type of glass fiber reinforced concrete with high toughness was designed. A high-toughness fiber glass mesh reinforced concrete with high tensile strength of 12.5 MPa and high ultimate tensile strain of 9 681 με was developed.
Key words:  glass fiber reinforced concrete    fiber glass mesh    machine learning    direct tensile test    high toughness
发布日期:  2026-06-03
ZTFLH:  TU528  
基金资助: 浙江省自然科学基金(LQ24E080002);国家自然科学基金(52225803;52338003)
通讯作者:  *全冠,博士,浙江大学建筑工程学院百人计划研究员、博士研究生导师,国家级高层次青年人才。主要从事超高韧性能水泥基复合材料设计研发与智能建造研究。guan.quan@zju.edu.cn;徐世烺,博士,浙江大学建筑工程学院教授、博士研究生导师,结构工程专家,中国科学院院士。长期从事混凝土结构完整性安全分析理论和高性能建筑结构与材料研究。slxu@zju.edu.cn   
作者简介:  池千岛,在徐世烺教授的指导下进行研究,主要研究领域为基于机器学习的纤维混凝土材料研发。
引用本文:    
池千岛, 全冠, 李庆华, 徐世烺. 面向韧性提升的玻璃纤维混凝土智能配比及性能研究[J]. 材料导报, 2026, 40(10): 25110159-8.
CHI Qiandao, QUAN Guan, LI Qinghua, XU Shilang. Study on Intelligent Mix Proportions and Performance of Glass Fiber-reinforced Concrete for Toughness Enhancement. Materials Reports, 2026, 40(10): 25110159-8.
链接本文:  
https://www.mater-rep.com/CN/10.11896/cldb.25110159  或          https://www.mater-rep.com/CN/Y2026/V40/I10/25110159
1 Xu S L, Li H D. China Civil Engineering Journal, 2008(6), 45 (in Chinese).
徐世烺, 李贺东. 土木工程学报, 2008(6), 45.
2 Zheng Y X. Research on dynamic fragmentation of ductile metals. Ph. D. Thesis, University of Science and Technology of China, China, 2013 (in Chinese).
郑宇轩, 韧性材料的动态碎裂特性研究. 博士学位论文, 中国科学技术大学, 2013.
3 Zhou H, Jia B, Huang H. Building Structure, 2020, 50(24), 104 (in Chinese).
周浩, 贾彬, 黄辉. 建筑结构, 2020, 50(24), 104.
4 Jia J J, Shi J P, Zhang Y, et al. Composites Science and Engineering, 2021(8), 39 (in Chinese).
贺晶晶, 师俊平, 张勇, 等. 复合材料科学与工程, 2021(8), 39.
5 Wang X F. Experimental Research on Uniaxial Tensile and Flexural Behavior of PP Fiber Reinforced Concrete. Master's Thesis, Dalian University of Technology, China, 2011 (in Chinese).
王晓飞. 聚丙烯纤维混凝土轴拉和弯曲性能的试验研究. 硕士学位论文, 大连理工大学, 2011.
6 Deng Z C, Xue H Q. Journal of Harbin Engineering University, 2023, 44(8), 1288 (in Chinese).
邓宗才, 薛会青. 哈尔滨工程大学学报, 2023, 44(8), 1288.
7 Li X L. Study on tensile mechanical properties of alkali-resistant glass fiber fabric reinforced concrete. Master's Thesis, Hunan University, China, 2022(in Chinese).
李新亮. 耐碱玻璃纤维织物增强混凝土拉伸力学性能研究. 硕士学位论文, 湖南大学, 2022.
8 Deng Z C, Chen H L. Journal of Harbin Engineering University. 2019. 40(5), 993 (in Chinese).
邓宗才, 陈海龙. 哈尔滨工程大学学报, 2019, 40(5), 993.
9 Zhang X J. Study on uniaxial tensile properties of textile reinforced cement-based composites. Master's Thesis, Hebei University of Technology, 2019(in Chinese).
张希瑾. 纤维编织网增强水泥基复合材料单轴拉伸性能研究. 硕士学位论文, 河北工业大学, 2019.
10 Xu S L, Li H D. China Civil Engineering Journal, 2009, 42(9), 32(in Chinese).
徐世烺, 李贺东. 土木工程学报, 2009, 42(9), 32.
11 Zhang Z, Shao X D, Li W G, et al. China Journal of Highway and Transport, 2015, 28(8), 50(in Chinese).
张哲, 邵旭东, 李文光, 等. 中国公路学报, 2015, 28(8), 50.
12 Wang J Y, Shao X D, Geng L P. Journal of Harbin Institute of Technology, 2019, 51(6), 18(in Chinese).
王俊颜, 闫珠华, 耿莉萍. 哈尔滨工业大学学报, 2019, 51(6), 18.
13 Wang J Y, Geng L P, Guo J Y, et al. Journal of Harbin Institute of Technology, 2017, 49(12), 165(in Chinese).
王俊颜, 耿莉萍, 郭君渊, 等. 哈尔滨工业大学学报, 2017, 49(12), 165.
14 Seeger M. International journal of neural systems, 2004, 14(2), 69.
15 Chang C C. Lin C J. ACM Transactions on Intelligent Systems and Technology, 2011, 2(3), 1.
16 Elith J, Leathwick J R, Hastie T. Journal of Animal Ecology, 2008, 77(4), 802.
17 Death G. Ecology, 2007, 88(1), 243.
18 Cai C, Huang C, Dong H. Journal of Systems Science and Mathematical Sciences, 2022, 42(5), 1216.
19 Breiman L. Machine Learning, 2001, 45(1), 5.
20 Wu Y C, Feng J W. Wireless Personal Communications, 2018, 102(2), 1645.
21 Jiang C, Jiang C C, Chen D W, et al. Entropy, 2022, 24(7), 1.
22 Gu J X, Wang Z H, Kuen J, et al. Pattern Recognition, 2018, 77, 354.
23 Cai X R. The basic mechanical performances and strain hardening process theoretical analysis of ultra high toughness cementitious composites. Ph. D. Thesis, Dalian University of Technology, China, 2010 (in Chinese).
蔡向荣. 超高韧性水泥基复合材料基本力学性能和应变硬化过程理论分析. 博士学位论文, 大连理工大学, 2010.
24 Xu S L, Cai X R. Journal of Materials in Civil Engineering, 2010, 22(10), 1067.
25 Rokugo K, Kanda T, Yokota H, et al. , Materials and Structures, 2009, 42(9), 1197.
[1] 杨东东, 李芬, 杨莹, 王瑞莹, 邢智超, 韩明洪. 机器学习在生物炭生产及吸附领域中的应用研究进展[J]. 材料导报, 2026, 40(9): 25030238-12.
[2] 梅生启, 刘晓东, 王兴举, 李旭峰, 聂良涛, 康学建. 考虑强度分类的融合机器学习混凝土徐变建模[J]. 材料导报, 2026, 40(7): 24100121-8.
[3] 于代东, 马玉薇, 李刚, 王爱芹, 黄维, 王靖超. 基于机器学习方法对不同掺量废玻璃粉混凝土抗压强度的预测研究[J]. 材料导报, 2026, 40(6): 25030056-15.
[4] 黄河, 刘桂. 人工智能驱动电催化材料全流程开发:从理性设计到产业化新范式[J]. 材料导报, 2026, 40(5): 25030145-10.
[5] 龙卓, 傅伊凡, 杨功记. 机器学习在非晶合金逆向设计中的应用[J]. 材料导报, 2026, 40(4): 25020053-9.
[6] 马金宁, 李小波, 欧明玉, 徐文俊. 合金中化学短程有序的研究进展[J]. 材料导报, 2026, 40(3): 25010164-9.
[7] 谢芋江, 漆俊杰, 蒋文宇, 文雄, 温飞娟, 黄本生. 机器学习辅助耐磨耐腐蚀高熵合金设计的现状与展望[J]. 材料导报, 2026, 40(3): 25030043-8.
[8] 周祥胥, 段锋, 朱博. 基于机器学习的SHAP和PDP分析对UHPC流变性能的研究[J]. 材料导报, 2026, 40(2): 24100237-8.
[9] 周甲佳, 王一锋, 赵军, 宋晨阳, 吕文朴. 石灰石煅烧黏土基ECC单轴拉伸性能及抗压强度[J]. 材料导报, 2026, 40(1): 24120246-8.
[10] 李自强, 崔素萍, 马忠诚, 王亚丽, 王晶, 刘云, 乔志杨. 机器学习算法用于水泥强度预测的研究进展[J]. 材料导报, 2025, 39(5): 23120133-12.
[11] 刘朝晖, 盛佳豪, 柳力. 数据驱动下的沥青混合料材料组成设计方法[J]. 材料导报, 2025, 39(4): 24010230-9.
[12] 秦龙, 何建丽, 董万鹏, 黄少波, 王辉, 王志海. 镁合金高温本构模型研究进展[J]. 材料导报, 2025, 39(23): 24110218-8.
[13] 田根, 朱甫宏, 王文宇, 王晓明, 赵阳, 韩国峰, 任智强, 朱胜. 基于机器学习的传感器监测在金属激光增材制造中的应用[J]. 材料导报, 2025, 39(2): 23080174-16.
[14] 李俊炎, 张伟强, 高志玉. 机器学习辅助高熵合金设计的研究进展[J]. 材料导报, 2025, 39(18): 24080091-10.
[15] 葛宇飞, 刘东青, 程海峰, 桂博恒, 王新飞, 贾岩. 基于机器学习的光谱选择性红外辐射材料设计研究进展[J]. 材料导报, 2025, 39(15): 24080168-9.
[1] Lanyan LIU,Jun SONG,Bowen CHENG,Wenchi XUE,Yunbo ZHENG. Research Progress in Preparation of Lignin-based Carbon Fiber[J]. Materials Reports, 2018, 32(3): 405 -411 .
[2] Haoqi HU,Cheng XU,Lijing YANG,Henghua ZHANG,Zhenlun SONG. Recent Advances in the Research of High-strength and High-conductivity CuCrZr Alloy[J]. Materials Reports, 2018, 32(3): 453 -460 .
[3] Xinxing ZHOU,Shaopeng WU,Xiao ZHANG,Quantao LIU,Song XU,Shuai WANG. Molecular-scale Design of Asphalt Materials[J]. Materials Reports, 2018, 32(3): 483 -495 .
[4] Ping ZHU,Guanghui DENG,Xudong SHAO. Review on Dispersion Methods of Carbon Nanotubes in Cement-based Composites[J]. Materials Reports, 2018, 32(1): 149 -158 .
[5] Fangyuan DONG,Shansuo ZHENG,Mingchen SONG,Yixin ZHANG,Jie ZHENG,Qing QIN. Research Progress of High Performance ConcreteⅠ:Raw Materials and Mix Proportion Design Method[J]. Materials Reports, 2018, 32(1): 159 -166 .
[6] Guiqin HOU,Yunkai LI,Xiaoyan WANG. Research Progress of Zinc Ferrite as Photocatalyst[J]. Materials Reports, 2018, 32(1): 51 -57 .
[7] Yan MA,Zhi LI,Ruilong RAN,Kang LI. Research on Application of Silk in Biomaterial Field[J]. Materials Reports, 2018, 32(1): 86 -92 .
[8] Kui ZHENG,Changlai YUAN,Xingxing ZHOU,Weiqing WANG,Jiwen XU,Changrong ZHOU. Microstructures and Energy-storage Properties of Ba0.04Bi0.48Na0.48TiO3-SrTiO3 Ceramics[J]. Materials Reports, 2018, 32(2): 171 -175 .
[9] Shilie DENG,Huimin XIAN,Xi CHEN,Lingyun TANG,Jiang ZHANG,Zhongquan MAO. Enhanced Magnetic Properties of Bismuth Ferrite by La and Nb Co-doping[J]. Materials Reports, 2018, 32(2): 176 -179 .
[10] Wei LIU,Houhe CHEN. 1D Energetic Metal-organic Frameworks: Synthesis and Properties[J]. Materials Reports, 2018, 32(2): 223 -227 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed