Figure - available from: Shock and Vibration
This content is subject to copyright. Terms and conditions apply.
Source publication
A continuous compaction control energy model suitable for contact decoupling between the vibrating wheel and the filling body surface is established through analyzing the energy state of the filling body in the compaction detection stage and calculating nonlinear vibration energy dissipation rate based on the basic principle of continuous compactio...
Citations
... The dynamic conversion of energy has been identified as the fundamental interaction between the vibration wheel and soil, as highlighted in various studies (Liu et al. 2016, Shi et al. 2022, Wu et al. 2022. During a specific vibration cycle, the roller's vibration wheel exhibits three distinct downward movement states: from the highest to the lowest point, and then back to the highest. ...
... From pertinent research, it is discerned that moisture content and compactness exert minimal influence on the soil viscosity coefficient h. During compaction, h can be perceived as a constant (Meehan et al. 2017, Wu et al. 2022). According to Guo (2001), the stress amplitude s s is associated with the roller's output energy during the compaction process. ...
The compaction quality is critical to the stability and durability of highway subgrades. Currently, there is a clear lack of research on the specific application effects of roller-integrated compaction monitoring (RICM) technology and RICM measurement values for silty soil, which are difficult to compact and have unique material properties. In addition, practical applications have shown that existing assessment methods based on geostatistical methods have many shortcomings that need to be addressed urgently. In this study, RICM technology was combined with a real-time kinematic Beidou positioning system to monitor the compaction of subgrades filled with two types of silt. First, field experiments were conducted, and the correlations between the RICM measurements, compaction parameters, and in situ measurements were analyzed. The compaction control value (CCV) was then selected by comparing with E to achieve a more reliable monitoring and assessment. Subsequently, different types of quality regression models were established to find a model that considers the advantages of accuracy and convenience, which was then used to estimate the compaction quality. Subsequently, a CCV- and Green spline interpolation-based method was proposed to calculate both the CCV and compaction quality and draw color-coded maps at any location. A case study demonstrated that CCV are highly correlated with the compaction parameters and the compactness and can serve as a reliable index for monitoring compaction quality owing to its strong stability and low dispersion. Taking moisture content into account can make the regression model more statistically significant and improve the correlation. The proposed assessment method effectively solves the problems of the existing method. A rapid and continuous assessment covering 100 % of the work area can be achieved using the proposed method to provide timely identification of quality defect areas and feedback improvement, thus realizing effective quality control and quality assurance of highway subgrades.
