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压实质量连续检测参数稳健性设计旨在选择可控因素的最优组合来降低压实质量连续检测过程对噪声因素的敏感性,有效提高量测精度。本文基于双响应曲面法,结合满意度函数,以CMV均值和方差为优化目标建立二阶多项式模型;采用Box-Behnken设计方法,在沪昆高速铁路芷江试验段进行以振动频率、碾压速度和振幅为可控因素的压实质量连续检测试验。结果表明,以上3个因素对压实质量连续检测参数稳定性的影响程度由大到小依次为振动频率、振幅、碾压速度。根据满意度函数模型得到振动压路机连续检测工艺参数最优组合:振动频率28.0Hz,碾压速度4.0km/h,振幅1.10mm。现场试验验证了振动压路机连续检测工艺参数最优组合的适用性和准确性。
Compaction quality continuous detection parameters Robustness design aims to select the optimal combination of controllable factors to reduce the sensitivity of the compaction quality continuous detection process to noise factors and effectively improve the measurement accuracy. In this paper, based on the double response surface method and the satisfaction function, the second-order polynomial model is established based on the mean and variance of CMV. The Box-Behnken design method is used to test the vibration frequency, rolling speed And amplitude controllable factors for the compaction quality of continuous testing. The results show that the influence of the above three factors on the stability of compaction quality continuous detection parameters are vibration frequency, amplitude and rolling speed in descending order. According to the satisfaction function model, the optimal combination of process parameters for vibration roller was detected continuously: vibration frequency 28.0Hz, rolling speed 4.0km / h, amplitude 1.10mm. The field test verified the applicability and accuracy of the optimal combination of process parameters of vibratory roller.