Research on grouting flow pattern and grouting defect prediction analysis of shear wall connected cavity

Abstract In this paper, grouting tests were carried out on the acrylic‐connected cavity model under three flow velocity conditions: low, medium, and high. The actual grouting process was simulated in a visual form, and flow simulation calculations were performed. The research results show that the pressure at the outlet of the edge grout sleeve is the highest, and a defective weak edge sealing layer is easily formed here. The grouting defects are mainly concentrated in the grouting inlet sleeve and its surrounding sleeves, and the closer to the inlet sleeve, the larger the defect volume. Large bubbles will appear at the four corners of the connected cavity and the top of the sleeve during low and high‐velocity grouting. Finally, the power function relationship between the inside average flow velocity and the frictional head loss is derived. The nonlinear relationship between frictional head loss and defect volume is analyzed by curve regression. The derived curve function growth relationship model can be used to predict the defect volume. Therefore, the grouting flow velocity should be controlled at 1.10 m/s during the construction process, and the defect detection of the grouting inlet sleeve and the upper part of the surrounding sleeve should be strengthened.

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Publication Details

Journal
Structural Concrete
Published
2025-08-04
DOI
https://doi.org/10.1002/suco.70291
Primary Topic
Dam Engineering and Safety
Type
article
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article

Research on grouting flow pattern and grouting defect prediction analysis of shear wall connected cavity

Yingjie Ma, Xufeng Qu, Ting Kang, Zhifei Du
Structural Concrete
Dam Engineering and Safety
article

Research on grouting flow pattern and grouting defect prediction analysis of shear wall connected cavity

Yingjie Ma, Xufeng Qu, Ting Kang, Zhifei Du
article en

Abstract

Abstract In this paper, grouting tests were carried out on the acrylic‐connected cavity model under three flow velocity conditions: low, medium, and high. The actual grouting process was simulated in a visual form, and flow simulation calculations were performed. The research results show that the pressure at the outlet of the edge grout sleeve is the highest, and a defective weak edge sealing layer is easily formed here. The grouting defects are mainly concentrated in the grouting inlet sleeve and its surrounding sleeves, and the closer to the inlet sleeve, the larger the defect volume. Large bubbles will appear at the four corners of the connected cavity and the top of the sleeve during low and high‐velocity grouting. Finally, the power function relationship between the inside average flow velocity and the frictional head loss is derived. The nonlinear relationship between frictional head loss and defect volume is analyzed by curve regression. The derived curve function growth relationship model can be used to predict the defect volume. Therefore, the grouting flow velocity should be controlled at 1.10 m/s during the construction process, and the defect detection of the grouting inlet sleeve and the upper part of the surrounding sleeve should be strengthened.

Structural ConcreteVol. 26(6)
China Railway Construction Corporation (China) (CN), Beijing University of Civil Engineering and Architecture (CN)
Openalex Percentile: Top 80%
Dam Engineering and Safety
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Research on grouting flow pattern and grouting defect prediction analysis of shear wall connected cavity — Yingjie Ma, Xufeng Qu, et al. · Structural Concrete (2025) | TGRS Research Map | TGRS