Conventional shotcrete is prone to cracking and exhibits poor impermeability. The incorporation of coarse polypropylene fibers into lining shotcrete can enhance its crack resistance and durability. The shotcreting process parameters are critical factors influencing the performance of coarse polypropylene fiber-reinforced concrete. While existing research has primarily focused on the impact of process parameters on rebound rate, this study investigates their effects on mechanical properties. Experiments were conducted with a fixed spraying angle of 90°, examining the 1 d, 3 d, and 28 d compressive strength, as well as the 28 d tensile, flexural, and bond strength under varying spraying air pressures and distances. The sensitivity of each mechanical property indicator was analyzed using the entropy weight method and grey relational analysis to determine the optimal shotcreting process. The results indicate that a spraying air pressure of 0.5 MPa and a distance of 1.5 m produce denser concrete with higher compressive and bond strengths. Increasing the air pressure to 0.6 MPa increases the proportion of fibers aligned parallel to the spraying surface, resulting in improved tensile and flexural strength. Different mechanical properties exhibit varying degrees of sensitivity to process parameter changes. The 28d tensile strength and 28d flexural strength showed the highest indicator weights, accounting for 20.4% and 22.0% respectively, and were the most sensitive to parameter variation. Grey relational analysis identified the combination of 0.5 MPa air pressure and 1.5 m distance as having the highest relative relational degree, representing the optimal comprehensive performance. These findings provide a valuable reference for the application of fiber-reinforced shotcrete in tunnel engineering.
Zhou Xuelei
,
Cheng Hongjian
,
Wu Mengjun
,
Liang Ninghui
,
Cao Peng
. Optimization of Shotcreting Parameters for Coarse Polypropylene Fiber-Reinforced Concrete Using the Entropy Weight Grey Method[J]. Chinese Journal of Underground Space and Engineering, 2026
, 22(4)
: 1341
-1351
.
DOI: 10.20174/j.JUSE.2026.04.22
[1] 徐义华,王恒.纤维增强混凝土研究进展与应用[J].四川建材,2022,48(4):17-18.(Xu Yihua,Wang Heng.Research progress of fiber reinforced concrete[J]. Sichuan Building Materials, 2022,48(4):17-18(in Chinese))
[2] Shrikant M. Harle. Review on the performance of glass fiber reinforced concrete[J].International Journal of Civil Engineering Research,2014,5(3): 281-284.
[3] 毛金旺. 玄武岩—异型塑钢纤维混凝土早期抗裂性能研究[D]. 重庆:重庆大学, 2023. (Mao Jinwang. Investigation on early-age cracking resistance of basalt-polypropylene fiber reinforced concrete[D]. Chongqing:Chongqing University, 2023. (in Chinese))
[4] 张欲晗.钢纤维喷射混凝土在隧道衬砌中的应用与研究[J].科技视界,2011(26):111-113. (Zhang Yuhan. Application and research on steel fiber-reinforced shotcrete in tunnel linings[J]. Science and Technology View, 2011(26):111-113. (in Chinese))
[5] 周脉强.异型塑钢粗合成纤维混凝土在道桥工程中的应用[J].科技与企业,2013(17):178-179. (Zhou Maiqiang. Application of coarse polypropylene fiber-reinforced concrete in road and bridge engineering[J].Technology and Business,2013(17):178-179.(in Chinese))
[6] 王树和,甄飞,熊小群,等. 高强轻集料混凝土力学性能影响因素研究[J].武汉理工大学学报,2007,29(9):104-107.(Wang Shuhe, Zhen Fei, Xiong Xiaoqun, et al. Research on influence factors of mechanical property of high strength lightweight concrete[J].Journal of Wuhan University of Technology,2007,29(9): 104-107.(in Chinese))
[7] 丁鹏.高性能喷射混凝土及其最佳施工工艺参数研究[D].焦作:河南理工大学,2013.(Ding Peng. Study on high performance shotcrete and best construction process parameters[D]. Jiaozuo:Henan Polytechnic University,2013.(in Chinese))
[8] 中华人民共和国住房和城乡建设部.喷射混凝土应用技术规程(JGJ/T 372-2016)[S].北京:中国建筑工业出版社,2016. (Ministry of Housing and Urban-Rural Development of the People's Republic of China. Technical specification for application of sprayed concrete (JGJ/T 372-2016) [S]. Beijing: China Architecture and Building Press, 2016. (in Chinese))
[9] 彭成炎,李晓龙,刘杨.喷射混凝土回弹量控制技术研究[J].公路,2024,69(5): 403-408. (Peng Chengyan, Li Xiaolong, Liu Yang. Study on control techniques for shotcrete rebound[J]. Highway,2024,69(5):403-408.(in Chinese))
[10] Malmgren L, Nordlund E, Rolund S. Adhesion strength and shrinkage of shotcrete[J]. Tunnelling And Underground Space Technology,2005,20(1):33-48.
[11] 姜正凯,孙士成. 湿喷碳素纤维混凝土在大断面黄土隧道中的应用[J]. 中国港湾建设,2009(6):63-65,72.(Jiang Zhengkai,Sun Shicheng. Application of carbon-fibre reinforced wet-mix shotcrete in large-section loess tunnel[J]. China Harbour Engineering,2009(6):63-65,72. (in Chinese))
[12] 刘康.低回弹喷射混凝土技术研究[D]. 天津:河北工业大学,2015.(Liu Kang.The trchnology research on low rebound loss spray concrete[D]. Tianjin:Hebei University of Technology, 2015 (in Chinese))
[13] 王胜国.铁路隧道初期支护混凝土平整度试验研究[J].铁道建筑技术, 2024(6): 30-32,131. (Wang Shengguo. Experimental study on the flatness of concrete for initial support of railway tunnels [J]. Railway Construction Technology,2024(6): 30-32,131. (in Chinese))
[14] 中华人民共和国住房和城乡建设部.混凝土物理力学性能试验方法标准(GB/T 50081-2019)[S]. 北京:中国建筑工业出版社,2019. (Ministry of Housing and Urban-Rural Development of the People's Republic of China. Standard for test methods of concrete physical and mechanical properties (GB/T 50081-2019)[S]. Beijing: China Architecture and Building Press, 2019. (in Chinese))
[15] 崔圣爱,张书豪,曾慧姣,等.纳米增强超高韧性混凝土纤维分布及弯曲性能[J].东南大学学报(自然科版),2025,55(1):131-139. (Cui Shengai, Zhang Shuhao,Zeng Huijiao, et al.Fiber distribution and flexural properties of nano-reinforced super toughness concrete [J]. Journal of Southeast University (Natural Science Edition),2025,55(1):131-139. (in Chinese))
[16] 路言杰,张小会,陆满成等.钢纤维分布和朝向对混凝土管片抗弯承载性能的影响[J].隧道建设(中英文),2025,45(增1):1-10. (Lu Yanjie,Zhang Xiaohui,Lu Mancheng, et al.Influence of steel fiber distribution and orientation on flexural bearing capacity of concrete segments[J]. Tunnel Consrtuction, 2025, 45(Supp.1): 1-10. (in Chinese))
[17] Shannon C E.A mathematical theory of communication[J].The Bell System Technical Journal,1948,27(3):379-423.
[18] Anand.J. Kulkarni. Multiple criteria decision making[M]. Springer Nature Singapore,2022.
[19] 杨绍闻,党耀国,王俊杰,等.灰色关联模型关联序结果的稳定性检验方法及应用[J].控制与决策,2023,38(6):1679-1686. (Yang Shaowen, Dang Yaoguo, Wang Junjie, et al. Stability test method and application of incidence order results of the grey incidence model[J].Control and Decision,2023,38(6):1679-1686.(in Chinese))
[20] 吕淑仪. 灰色关联度综合评价法在科技期刊评价中的应用[J]. 情报科学,2004,22(3):327-331,336.(Lv Shuyi.Application of comprehensive evaluation of gray correlation degree to S&T journals[J]. Information Science, 2004, 22(3): 327-331,336. (in Chinese))
[21] 李仁安, 秦晋栋. 基于灰色组合关联度的综合评价方法[J]. 武汉理工大学学报(信息与管理工程版),2012,34(5):592-595,600.(Li Renan, Qin Jindong. Comprehensive evaluation methodbased on grey combination incidence degree[J]. Journal of Wuhan University of Technology (Information & Management Engineering),2012,34(5):592-595,600.(in Chinese))
