Similarity Relationship Calculation Table for Grout Diffusion in Coarse-Grained Materials

A geotechnical engineering dataset from figshare contains a similarity relationship calculation table for grout diffusion experiments. Author Shihao Zhang published the data under a CC-BY-4.0 license, last updated on June 1, 2026. The 5.5 KB XLS file likely contains quantified results from Particle Image Velocimetry (PIV) analysis of grout diffusion under different fine-particle loss conditions.

Use Cases

• Modeling grout diffusion patterns based on fine-particle content mentioned in the description
• Analyzing the relationship between pore clogging and grout upwelling based on experimental conditions
• Optimizing permeation grouting parameters for coarse aggregates based on quantified diffusion rates
• Training predictive models for grouting efficiency based on the three test conditions (no loss, partial loss, complete loss)

Strengths

• Data is openly licensed (CC-BY-4.0) for reuse.
• Experimental results are based on visualized and quantified Particle Image Velocimetry (PIV) analysis.
• The study investigates three distinct test conditions representing different states of fine-particle loss.

Limitations

• Dataset is very small (5.5 KB), indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description does not specify the number of experimental runs or replicates.

Provenance

Source

figshare

Collection Method

Data was generated from constant-pressure grouting tests (40 kPa) using transparent soil technology and Particle Image Velocimetry (PIV).

Freshness

Last updated 2026-06-01 18:05:47; freshness should be verified.