Flexural properties of 3D printed graded lattice reinforced cementitious composites using digital image correlation

被引:20
|
作者
Tang, Can [1 ,2 ]
Liu, Junwei [2 ]
Hao, Wenfeng [3 ]
Wei, Yuanyuan [3 ]
机构
[1] Yangzhou Univ, Coll Civil Sci & Engn, Yangzhou 225127, Jiangsu, Peoples R China
[2] Jiangsu Univ, Fac Civil Engn & Mech, Zhenjiang 212013, Jiangsu, Peoples R China
[3] Yangzhou Univ, Coll Mech Engn, Yangzhou 225127, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
3D printing; Cement-based materials; Graded lattice reinforcement; Digital image correlation (DIC); Flexural property; CONCRETE; BEHAVIOR; STEEL; CORROSION; STRENGTH; DESIGN;
D O I
10.1016/j.matdes.2023.111734
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Three-dimensional (3D) printed polymer-reinforced cementitious composites are expected to be used to improve the ductility of cement-based materials. However, research on the maximum flexural capacity and failure mode of lattice-reinforced cementitious composites remains insufficient. In this study, six types of cells with different volume fractions are designed, and mainly undergo bending and tensile deformation. According to the load characteristics during a three-point bending test, five kinds of graded lattice structures are designed. Moreover, a skin-lattice structure and uniform lattice structure are designed, and plain cement mortar is set to comprehensively evaluate the bending mechanical properties of graded lattice-reinforced cementitious composites. The crack evolution and failure mode of these composites under three-point bending load are studied using digital image correlation (DIC). The results show that compared with the uniform lattice, the graded lattice can improve the maximum bending capacity of cement-based materials, improve their cracking characteristics and failure modes during the bending process, and enhance their toughness while reducing the amount of required material. Compared with the plain cement mortar specimen, the graded lattice-reinforced specimen with the largest bending peak load is found to have a 175% increase in the bending peak load and a significant increase in the bending bearing capacity.& COPY; 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:22
相关论文
共 50 条
  • [31] Flexural performance of 3D printed concrete structure with lattice infills
    Dey, Dhrutiman
    Van, Vuong Nguyen
    Xuan, H. Nguyen
    Srinivas, Dodda
    Panda, Biranchi
    Tran, Phuong
    DEVELOPMENTS IN THE BUILT ENVIRONMENT, 2023, 16
  • [32] Measurement of tensile mechanical properties of fiber reinforced plastic rebars by 3D digital image correlation
    Zhu, Feipeng
    Bai, Pengxiang
    Lei, Dong
    MATERIALS TESTING, 2020, 62 (04) : 422 - 428
  • [33] Flexural Properties of 3D Printed Continuous Fiber Reinforced Resin T-beams
    Wu S.
    Shan Z.
    Chen K.
    Liu F.
    Liu X.
    Yan C.
    Cailiao Daobao/Materials Reports, 2024, 38 (07):
  • [34] Employing U-shaped 3D printed polymer to improve flexural properties of cementitious tailings backfills
    Qin, Shiwen
    Cao, Shuai
    Yilmaz, Erol
    CONSTRUCTION AND BUILDING MATERIALS, 2022, 320
  • [35] Mechanical properties of structures 3D printed with cementitious powders
    Feng, Peng
    Meng, Xinmiao
    Chen, Jian-Fei
    Ye, Lieping
    CONSTRUCTION AND BUILDING MATERIALS, 2015, 93 : 486 - 497
  • [36] COMPARING POISSON RATIO MEASUREMENT OF 3D PRINTED CONTINUOUS FIBER REINFORCED COMPOSITES: DIGITAL IMAGE CORRELATION (DIC) VS. VIDEO-EXTENSOMETER
    Islam, Md Zahirul
    Rahman, Md Atikur
    Gibbon, Luke
    Hall, Eric
    Ulven, Chad A.
    PROCEEDINGS OF ASME 2024 19TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2024, VOL 1, 2024,
  • [37] Characterization of 3D printed bolts based on digital image correlation and infrared thermography
    Feng, Xiaowei
    Xue, Fei
    MATERIALS & DESIGN, 2020, 191
  • [38] 3D printed self-sensing cementitious composites using graphite and carbon microfibers
    Liu, Han
    Laflamme, Simon
    D'Alessandro, Antonella
    Ubertini, Filippo
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (08)
  • [39] Empirical models to predict rheological properties of fiber reinforced cementitious composites for 3D printing
    Weng, Yiwei
    Lu, Bing
    Li, Mingyang
    Liu, Zhixin
    Tan, Ming Jen
    Qian, Shunzhi
    CONSTRUCTION AND BUILDING MATERIALS, 2018, 189 : 676 - 685
  • [40] Experimental Investigation and Benchmarking of 3D Textile Reinforced Cementitious Composites
    El Kadi, Michael
    Verbruggen, Svetlana
    Vervloet, Jolien
    De Munck, Matthias
    Wastiels, Jan
    Van Hemelrijck, Danny
    Tysmans, Tine
    STRAIN-HARDENING CEMENT-BASED COMPOSITES, 2018, 15 : 400 - 408