Please wait a minute...
Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front. Struct. Civ. Eng.    2024, Vol. 18 Issue (1) : 51-65    https://doi.org/10.1007/s11709-024-1012-3
The shear strength of the interface between artificial rock and printed concrete at super-early ages
Yong Yuan1,2,3, Xiaoyun Wang1,4, Jiao-Long Zhang1,3(), Yaxin Tao3,4, Kim Van Tittelboom4, Luc Taerwe3,4, Geert De Schutter3,4()
1. College of Civil Engineering, Tongji University, Shanghai 200092, China
2. State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
3. Belgium-China Joint Laboratory for Industrialized Construction, Tongji University, Shanghai 200092, China
4. Magnel-Vandepitte Laboratory for Structural Engineering and Building Materials, Ghent University, Ghent 9052, Belgium
 Download: PDF(9395 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract

3D concrete printing has the potential to replace shotcrete for construction of linings of tunnels in hard rock. The shear strength of the interface between rock and printed concrete is vital, especially at super-early ages. However, traditional methods for testing the shear strength of the interface, e.g., the direct shear test, are time-consuming and result in a high variability for fast-hardening printed concrete. In this paper, a new fast bond shear test is proposed. Each test can be completed in 1 min, with another 2 min for preparing the next test. The influence of the matrix composition, the age of the printed matrices, and the interface roughness of the artificial rock substrate on the shear strength of the interface was experimentally studied. The tests were conducted at the age of the matrices at the 1st, the 4th, the 8th, the 16th, the 32nd, and the 64th min after its final setting. A dimensionless formula was established to calculate the shear strength, accounting for the age of the printed matrices, the interface roughness, and the shear failure modes. It was validated by comparing the calculated results and the experimental results of one group of samples.

Keywords rock tunnel      printed concrete      interface      fast bond shear test      shear strength     
Corresponding Author(s): Jiao-Long Zhang,Geert De Schutter   
Just Accepted Date: 12 March 2024   Online First Date: 08 May 2024    Issue Date: 24 May 2024
 Cite this article:   
Yong Yuan,Xiaoyun Wang,Jiao-Long Zhang, et al. The shear strength of the interface between artificial rock and printed concrete at super-early ages[J]. Front. Struct. Civ. Eng., 2024, 18(1): 51-65.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-024-1012-3
https://academic.hep.com.cn/fsce/EN/Y2024/V18/I1/51
Fig.1  Diagrammatic sketch and set-up of the FBST: (a) diagrammatic sketch of the FBST; (b) set-up of the FBST.
Fig.2  Dimensions of the substrate with holes (unit: mm): (a) dimensions of the substrate; (b) dimensions of the hole.
Fig.3  The molding and demolding of the substrates: (a) the assembled molds; (b) the molding of the substrates; (c) the substrates after demolding.
Fig.4  Procedure for printing concrete: (a) temporarily filling the lower part of the hole; (b) printing concrete into the holes; (c) placing samples in the test machine.
Fig.5  Procedure of pushing out the printed cylindrical samples: (a) aligning the axes; (b) contacting the loading rod with the top of the sample; (c) loading until debonding; (d) preparing the loading of the next sample.
MatrixCementWaterSandSuperplasticizerHEMCAccelerator
A1.000.35
B1.000.351.00
C1.000.351.000.2%0.1%6%
Tab.1  Mixture proportions of the matrices (by weight of cement)
Chemical compositionLOI (%)
CaO63.16
SiO222.11
Al2O34.43
Fe2O33.13
SO32.62
MgO2.28
Na2O0.53
Cl?0.012
LOI1.73
Tab.2  Chemical composition and loss on ignition (LOI) of the Portland cement (by weight of cement (%))
Premix binderWaterQuartz sandSuperplasticizerSteel fibre
1.0000.1700.9100.0080.210
Tab.3  Mixture proportions of the UHPC (by weight of the premix binder)
ClassificationA (mm)L (mm)Z1 (mm)Z2 (?)
I0.000.000.00
II0.103.140.070.14
III0.406.280.280.28
IV1.6012.561.140.56
Tab.4  Classification of interface roughness
Fig.6  Classification of interface roughness of the substrate: (a) classification I; (b) classification II; (c) classification III; (d) classification IV.
MatrixInitial setting time (min)Final setting time (min)Fluidity (mm)Mini-slump (mm)
A255310
B18024021585
C121914214
Tab.5  Workability of the matrices
Fig.7  Evolution of the compressive strength of the matrices.
Fig.8  Evolution of the shear strength of the interface: (a) matrix A; (b) matrix B; (c) matrix C.
Fig.9  Shear failure modes of matrix A.
Fig.10  Shear failure modes of matrix B.
Fig.11  Shear failure modes of matrix C.
ParameterMatrix AMatrix BMatrix C
a0.96 1.42 0.57
b2.57 3.70 3.94
c38.0042.35
Tab.6  Fitted parameters for each matrix
Fig.12  Evolution of the shear strength of the interface: (a) matrix A; (b) matrix B; and (c) matrix C.
Fig.13  Comparison between the experimental results and the fitted results from the model for the shear strength of interface roughness III.
1 T Franzén. Shotcrete for underground support: A state-of-the-art report with focus on steel-fibre reinforcement. Tunnelling and Underground Space Technology, 1992, 7(4): 383–391
https://doi.org/10.1016/0886-7798(92)90068-S
2 G Liu, W Cheng, L Chen. Investigating and optimizing the mix proportion of pumping wet-mix shotcrete with polypropylene fiber. Construction & Building Materials, 2017, 150: 14–23
https://doi.org/10.1016/j.conbuildmat.2017.05.169
3 P Li, Z Zhou, L Chen, G Liu, W Xiao. Research on dust suppression technology of shotcrete based on new spray equipment and process optimization. Advances in Civil Engineering, 2019, 2019: 4831215
https://doi.org/10.1155/2019/4831215
4 L Chen, Z Sun, G Liu, G Ma, X Liu. Spraying characteristics of mining wet shotcrete. Construction & Building Materials, 2022, 316: 125888
https://doi.org/10.1016/j.conbuildmat.2021.125888
5 G Pan, P Li, L Chen, G Liu. A study of the effect of rheological properties of fresh concrete on shotcrete-rebound based on different additive components. Construction & Building Materials, 2019, 224: 1069–1080
https://doi.org/10.1016/j.conbuildmat.2019.07.060
6 Y Zhang, X Zhuang, R Lackner. Stability analysis of shotcrete supported crown of NATM tunnels with discontinuity layout optimization. International Journal for Numerical and Analytical Methods in Geomechanics, 2018, 42(11): 1199–1216
https://doi.org/10.1002/nag.2775
7 Z Sun, Y Zhang, Y Yuan, H A Mang. Stability analysis of a fire-loaded shallow tunnel by means of a thermo-hydro-chemo-mechanical model and discontinuity layout optimization. International Journal for Numerical and Analytical Methods in Geomechanics, 2019, 43(16): 2551–2564
https://doi.org/10.1002/nag.2991
8 T Wangler, N Roussel, F P Bos, T A M Salet, R J Flatt. Digital concrete: A review. Cement and Concrete Research, 2019, 123: 105780
https://doi.org/10.1016/j.cemconres.2019.105780
9 Y YuanX WangY Tao. Bond properties between printable concrete and rock. In: Proceedings of the 5th fib Congress 2018. Ghent: CRC Press, 2018, 2766–2773
10 D Saiang, L Malmgren, E Nordlund. Laboratory tests on shotcrete-rock joints in direct shear, tension and compression. Rock Mechanics and Rock Engineering, 2005, 38(4): 275–297
https://doi.org/10.1007/s00603-005-0055-6
11 Y Tao, K Lesage, K van Tittelboom, Y Yuan, G de Schutter. Influence of substrate surface roughness and moisture content on tensile adhesion performance of 3D printable concrete. Cement and Concrete Composites, 2022, 126: 104350
https://doi.org/10.1016/j.cemconcomp.2021.104350
12 Y Tao, G Vantyghem, K Lesage, Y Yuan, W de Corte, K van Tittelboom, G de Schutter. Adhesion properties of printable polymer-modified concrete for rock tunnel linings. ACI Materials Journal, 2021, 118(6): 61–73
13 B Pichler, S Scheiner, C Hellmich. From micron-sized needle-shaped hydrates to meter-sized shotcrete tunnel shells: Micromechanical upscaling of stiffness and strength of hydrating shotcrete. Acta Geotechnica, 2008, 3(4): 273–294
https://doi.org/10.1007/s11440-008-0074-z
14 R Pinto, A Schindler. Unified modeling of setting and strength development. Cement and Concrete Research, 2010, 40(1): 58–65
https://doi.org/10.1016/j.cemconres.2009.08.010
15 L K Mettler, F K Wittel, R J Flatt, H J Herrmann. Evolution of strength and failure of SCC during early hydration. Cement and Concrete Research, 2016, 89: 288–296
https://doi.org/10.1016/j.cemconres.2016.09.004
16 C Pichler, M Schmid, R Traxl, R Lackner. Influence of curing temperature dependent microstructure on early-age concrete strength development. Cement and Concrete Research, 2017, 102: 48–59
https://doi.org/10.1016/j.cemconres.2017.08.022
17 B Zareiyan, B Khoshnevis. Effects of interlocking on interlayer adhesion and strength of structures in 3D printing of concrete. Automation in Construction, 2017, 83: 212–221
https://doi.org/10.1016/j.autcon.2017.08.019
18 T Lee, J Lee. Setting time and compressive strength prediction model of concrete by nondestructive ultrasonic pulse velocity testing at early age. Construction & Building Materials, 2020, 252: 119027
https://doi.org/10.1016/j.conbuildmat.2020.119027
19 Y Tao, K Lesage, K van Tittelboom, Y Yuan, G de Schutter. Twin-pipe pumping strategy for stiffening control of 3D printable concrete: from transportation to fabrication. Cement and Concrete Research, 2023, 168: 107137
https://doi.org/10.1016/j.cemconres.2023.107137
20 R Wolfs, F Bos, T Salet. Early age mechanical behaviour of 3D printed concrete: Numerical modelling and experimental testing. Cement and Concrete Research, 2018, 106: 103–116
https://doi.org/10.1016/j.cemconres.2018.02.001
21 Y Tao, A Rahul, K Lesage, K van Tittelboom, Y Yuan, G de Schutter. Mechanical and microstructural properties of 3D printable concrete in the context of the twin-pipe pumping strategy. Cement and Concrete Composites, 2022, 125: 104324
https://doi.org/10.1016/j.cemconcomp.2021.104324
22 L Wang, Y Yang, L Yao, G Ma. Interfacial bonding properties of 3D printed permanent formwork with the post-casted concrete. Cement and Concrete Composites, 2022, 128: 104457
https://doi.org/10.1016/j.cemconcomp.2022.104457
23 Y Zhang, H A Mang. Global cracking elements: A novel tool for Galerkin-based approaches simulating quasi-brittle fracture. International Journal for Numerical Methods in Engineering, 2020, 121(11): 2462–2480
https://doi.org/10.1002/nme.6315
24 Y Zhang, J Huang, Y Yuan, H A Mang. Cracking elements method with a dissipation-based arc-length approach. Finite Elements in Analysis and Design, 2021, 195: 103573
https://doi.org/10.1016/j.finel.2021.103573
25 B SinghR Goel. Engineering Rock Mass Classification. Boston: Butterworth-Heinemann, 2011, 313–317
26 J P Davim. Tribology for Engineers: A Practical Guide. Sawston Cambridge: Woodhead Publishing, 2011, 1–14
27 N Myers. Characterization of surface roughness. Wear, 1962, 5(3): 182–189
https://doi.org/10.1016/0043-1648(62)90002-9
28 C XiaZ Sun. The Mechanics of Rock Joints in Engineering. Shanghai: Tongji University Press, 2002, 18–36
29 G Ma, L Wang. A critical review of preparation design and workability measurement of concrete material for largescale 3D printing. Frontiers of Structural and Civil Engineering, 2018, 12(3): 382–400
https://doi.org/10.1007/s11709-017-0430-x
30 ISO 9597. Cement test methods-determination of setting time and soundness.Geneva: International Organization for Standardization, 2008
31 5126 DL/T-2001. Test Code on Polymer-modified Cement Mortar. Beijing: China Electronic Power Press, 2001
32 2419 GB/T-2005. Test Method for Fluidity of Cement Mortar. Beijing: China Standards Press, 2005 (in Chinese)
33 C Paglia, F Wombacher, H Böhni. The influence of alkali-free and alkaline shotcrete accelerators within cement systems: I. Characterization of the setting behavior. Cement and Concrete Research, 2001, 31(6): 913–918
https://doi.org/10.1016/S0008-8846(01)00509-9
34 D Marchon, S Kawashima, H Bessaies-Bey, S Mantellato, S Ng. Hydration and rheology control of concrete for digital fabrication: Potential admixtures and cement chemistry. Cement and Concrete Research, 2018, 112: 96–110
https://doi.org/10.1016/j.cemconres.2018.05.014
35 C H Lee, K C Hover. Extracting kinetic parameters from penetration resistance measurements. Cement and Concrete Research, 2016, 83: 140–151
https://doi.org/10.1016/j.cemconres.2016.02.007
[1] FSC-23012-OF-YY_suppl_1 Download
[1] Ahmadreza RAMEZANI, Mohammad Reza ESFAHANI, Javad SABZI. Strengthening of reinforced concrete beams using fiber-reinforced cementitious matrix systems fabricated with custom-designed mortar and fabrics[J]. Front. Struct. Civ. Eng., 2023, 17(7): 1100-1116.
[2] Wenjun ZHANG, Wuqi ZHANG, Gaole ZHANG, Jun HUANG, Minggeng LI, Xiaohui WANG, Fei YE, Xiaoming GUAN. Hard-rock tunnel lithology identification using multi-scale dilated convolutional attention network based on tunnel face images[J]. Front. Struct. Civ. Eng., 2023, 17(12): 1796-1812.
[3] Linh Van Hong BUI, Phuoc Trong NGUYEN. Shear strength model of the reinforced concrete beams with embedded through-section strengthening bars[J]. Front. Struct. Civ. Eng., 2022, 16(7): 843-857.
[4] Kadir SENGUN, Guray ARSLAN. Investigation of the parameters affecting the behavior of RC beams strengthened with FRP[J]. Front. Struct. Civ. Eng., 2022, 16(6): 729-743.
[5] Zaobao LIU, Yongchen WANG, Long LI, Xingli FANG, Junze WANG. Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel construction big data[J]. Front. Struct. Civ. Eng., 2022, 16(4): 401-413.
[6] Thuy-Anh NGUYEN, Hai-Bang LY, Van Quan TRAN. Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees and optimization algorithms[J]. Front. Struct. Civ. Eng., 2022, 16(10): 1267-1286.
[7] Guorui SUN, Jun SHI, Yuang DENG. Predicting the capacity of perfobond rib shear connector using an ANN model and GSA method[J]. Front. Struct. Civ. Eng., 2022, 16(10): 1233-1248.
[8] Shuvankar DAS, Debarghya CHAKRABORTY. Effect of interface adhesion factor on the bearing capacity of strip footing placed on cohesive soil overlying rock mass[J]. Front. Struct. Civ. Eng., 2021, 15(6): 1494-1503.
[9] Hongyuan TANG, Ruizhong LIU, Xin ZHAO, Rui GUO, Yigang JIA. Axial compression behavior of CFRP-confined rectangular concrete-filled stainless steel tube stub column[J]. Front. Struct. Civ. Eng., 2021, 15(5): 1144-1159.
[10] Luisa PANI, Flavio STOCHINO. Punching of reinforced concrete slab without shear reinforcement: Standard models and new proposal[J]. Front. Struct. Civ. Eng., 2020, 14(5): 1196-1214.
[11] Dongliang HU, Jianzhong PEI, Rui LI, Jiupeng ZHANG, Yanshun JIA, Zepeng FAN. Using thermodynamic parameters to study self-healing and interface properties of crumb rubber modified asphalt based on molecular dynamics simulation[J]. Front. Struct. Civ. Eng., 2020, 14(1): 109-122.
[12] Walid Khalid MBARAK, Esma Nur CINICIOGLU, Ozer CINICIOGLU. SPT based determination of undrained shear strength: Regression models and machine learning[J]. Front. Struct. Civ. Eng., 2020, 14(1): 185-198.
[13] Sheng PENG, Chengxiang XU, Xiaoqiang LIU. Truss-arch model for shear strength of seismic-damaged SRC frame columns strengthened with CFRP sheets[J]. Front. Struct. Civ. Eng., 2019, 13(6): 1324-1337.
[14] Jianan QI, Yuqing HU, Jingquan WANG, Wenchao LI. Behavior and strength of headed stud shear connectors in ultra-high performance concrete of composite bridges[J]. Front. Struct. Civ. Eng., 2019, 13(5): 1138-1149.
[15] Hui ZHENG, Zhi FANG, Bin CHEN. Experimental study on shear behavior of prestressed reactive powder concrete I-girders[J]. Front. Struct. Civ. Eng., 2019, 13(3): 618-627.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed