基于振动压实模量的路基压实质量变异性控制优化研究

Optimization Research on the Control of Roadbed Compaction Quality Variability Based on Vibration Modulus

受波传播速度、信号混叠、局部应力分布、仪器限制等因素影响,当前智能压实测量值在下层强度相对较高时无法准确测量填充层的状态。为了解决该不足,本研究在填挖路基中进行实验性现场试验,评估智能压实测量值的变化特性。基于理论分析和数值模拟方法,提出1种新的智能压实测量值--振动压实模量,该模量能消除下层的干扰,揭示填充层的实际压实状态。并进一步提取该模量以研究填充层压实状态的变异性。研究结果表明,下层刚度对整体压实质量的影响显著,基于振动压实模量评估智能压实测量值更有可能实现填充层压实状态的变异控制。所呈现的测量数据、改进方法和相关结论为考虑使用智能压制技术的研究人员和从业人员提供宝贵的信息。

Due to factors such as wave propagation velocity,signal interference,local stress distribution,and instrument limitations,the current intelligent compaction measurements are unable to accurately assess the state of the filling layer when the strength of the underlying layer is relatively high.To address this shortcoming,this study conducted experimental field tests in fill and excavation subgrades to evaluate the variation characteristics of intelligent compaction measurements.Based on theoretical analysis and numerical simulation methods,this research introduces a new intelligent compaction measurement value—the vibration compaction modulus.This modulus can eliminate the interference from the underlying layer,revealing the actual compaction state of the filling layer.Furthermore,the study further extracts this modulus to investigate the variability of the compaction state of the filling layer.The results indicate that the stiffness of the underlying layer has a significant impact on the overall compaction quality,and evaluating intelligent compaction measurements based on the vibration compaction modulus is more likely to achieve control over the variability of the filling layer s compaction state.The presented measurement data,improved methodologies,and related conclusions provide valuable information for researchers and practitioners considering the use of intelligent compaction technology.