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对于公路填方路基工程,土的最大干密度ρdm和最佳含水率ω0是路基处理施工质量控制的两个重要因素,是路基土压实度的主要判定指标。规范推荐通过绘制ρd-ω曲线的方法求解,因曲线的任意空间性较大,容易引起人为误差。因此,结合数值分析原理,提出了按最小二乘原则求解击实试验数据的拟合曲线,并将其应用到Mat-lab中,从而为理论求解最大干密度ρdm和最佳含水率ω0提供了依据。同时可以极大地提高工作效率和减少人为误差,具有一定的推广应用价值。
For roadbed embankment project, the maximum dry density ρdm of soil and the optimal water content ω0 are two important factors in the construction quality control of subgrade treatment, and are the main indicators for the compaction degree of subgrade soil. The specification is recommended by solving the ρd-ω curve method, which is easy to cause human error because of any large spatial variability of the curve. Therefore, in combination with the principle of numerical analysis, a fitting curve based on the principle of least squares to solve compaction test data is proposed and applied to Mat-lab to provide theoretically the maximum dry density ρdm and the optimal moisture content ω0 in accordance with. At the same time can greatly improve work efficiency and reduce human error, with some promotion and application value.