利用普氏贯入仪检测填土压实度时,填土的含水率变化会使测量结果产生较大误差。为消除含水率对普氏贯入仪压实度检测结果的影响,提出了普氏贯入仪、土壤水分传感器联合测试、数据融合建模的压实度检测方法。建立测试土模型时,采用普氏贯入仪、土壤水分传感器分别测定试样的贯入阻力和土壤水分传感器输出电压,同时采用灌砂法、烘干法测定试样的干密度和含水率,根据试验结果分析了含水率、干密度对贯入阻力的影响规律,构建了干密度、贯入阻力、土壤水分传感器输出电压三者的数学模型。试验结果表明:采取双传感器联合测试、融合建模,可使测试结果受含水率的影响明显减小,精度显著提高。研究成果可为开发集贯入阻力、含水率测试功能为一体的压实度检测设备提供参考。

When Proctor Penetrometer is used to measure the compaction degree of filled soil in field, the variation of soil water content would bring about large error to the measurement results. In this article, a new method for compaction measurement integrating Proctor Penetrometer and soil moisture sensor is proposed and the soil models are built based on dual-sensor data fusion to reduce the influence of water content on the compaction test. Compacted loess samples with different water content and dry density are prepared. The penetration resistance measured by Proctor Penetrometer and the output voltage measured by soil moisture sensor are compared with the dry density determined accurately by sand replacement method and the water content determined accurately by oven-drying method. Binary regression analysis method is applied to conduct data fusion and set up a mathematical model involving
dry density, penetration resistance and output voltage. Test result indicates that after fusing the penetration resistance with the output voltage, the dry density can be measured directly and less influenced by water content and closer to the true soil dry density value, thus the influence of water content on the measurement results is greatly reduced.