Research demonstrates flow pattern analysis and defect volume prediction in shear wall cavities, suggesting optimized grouting speeds.
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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Qu et al. (2025) studied this question.
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