Fly ash-mucky sand mixture-based subgrade compaction quality control method

By selecting fly ash content as an independent variable in the roadbed compaction model and constructing a quantitative relationship, the collinearity problem of compaction degree and porosity was solved, enabling precise control of roadbed performance and reliable acceptance of construction quality, thereby improving engineering efficiency and economy.

CN121961357BActive Publication Date: 2026-06-16SHANDONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG UNIV OF SCI & TECH
Filing Date
2026-04-02
Publication Date
2026-06-16

AI Technical Summary

Technical Problem

In existing technologies, in roadbed compaction models based on fly ash-modified clay sand, compaction degree and porosity have a high intrinsic correlation, resulting in unstable model parameters that cannot be used as independent control variables, thus affecting the reliability of construction quality control.

Method used

By selecting fly ash content as a control variable independent of compaction degree, a prediction model is constructed to eliminate the influence of porosity, establish a quantitative relationship between "fly ash content - compaction degree - California bearing ratio", and back-calculate the minimum compaction degree control standard to guide on-site construction.

Benefits of technology

It enables precise control of subgrade performance, reduces reliance on expensive on-site testing, improves construction efficiency and economy, and provides scientific acceptance standards.

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Abstract

The application discloses a kind of based on fly ash-mucilaginous sand mixture's roadbed compaction quality control method, belong to road engineering technical field.This method includes the following steps: by test obtains fly ash-mucilaginous sand mixture under different fly ash admixture and compaction degree conditions California bearing ratio test data;Predictive model for predicting California bearing ratio is constructed, compaction degree and fly ash admixture are selected as independent control variable in the predictive model, and the optimal regression coefficient of model is determined;Set the fly ash admixture of construction, based on the target roadbed performance required by engineering design, the minimum compaction degree control standard required to meet the target roadbed performance is calculated back using predictive model;In roadbed field construction, according to the minimum compaction degree control standard determined to carry out quality control.The application reduces the dependence on expensive, inefficient direct performance test such as site CBR, bearing plate, speeds up construction progress, reduces quality inspection cost, improves engineering efficiency.
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