摘要
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。
The maximum dry density and optimum moisture content are two key factors for the control of subgrade construction quality for road fill in roadbed engineering, and also the important degree of compaction of roadbed soil. The code recommends solving the problem on drawing ρd-ω curve, but personal errors are easily caused by big arbitrary spatiality of curve. Combining the numerical analysis theory, a new method is presented. It calculates fitting curve for compaction data by the least square method and uses it in Matlab, thence it provides basis for theoreticaUy solving the maximum dry density and optimum moisture content. This method can improve greatly working efficiency and reduce artificial errors, and has certain spread and application, value.
出处
《勘察科学技术》
2008年第4期9-11,26,共4页
Site Investigation Science and Technology
关键词
数值分析
最大干密度
最小二乘法
曲线拟合
numerical analysis
maximum dry density
the least square method
curve fitting
