数据驱动的混凝土泵车臂架疲劳载荷谱编制

Data-driven Fatigue Load Spectrum Compiling of Concrete Pump Truck Booms

为对混凝土泵车进行疲劳分析,利用大数据分析技术,提出了一种数据驱动的混凝土泵车臂架疲劳载荷谱编制方法。通过分析臂架倾角和夹角定义了混凝土泵车典型作业姿态。根据所选取的典型作业姿态进行载荷信息采集,并对采集到的原始信号进行了数据预处理,以提高数据质量,令之后的疲劳载荷谱编制更具可靠性。采用参数法对测试载荷谱的幅值分布进行了参数估计和外推,以获得全寿命周期下的载荷谱,并用强化后载荷谱进行了疲劳验证。通过对300多台某型号混凝土泵车所采集到的大量数据进行试验验证了所提方法的可靠性和工程实用性。该研究成果为混凝土泵车多关节臂架结构疲劳载荷谱编制提供了参考。

In order to analyze the fatigue of concrete pump trucks,a data-driven method of compiling fatigue load spectra for concrete pump truck booms was proposed by utilizing big data analysis technology.The typical operating posture of concrete pump trucks was defined by analyzing the angle of boom inclination and pinch angle.Then,load information was collected according to the selected typical operating posture,and data pre-processing was performed on the collected raw signals to improve the data quality and make the fatigue load spectrum more reliable afterwards.A parametric method was used to estimate and extrapolate the amplitude distribution of the tested load spectra to obtain the load spectra under the whole life cycle,and the load spectra were strengthened for fatigue verification.The reliability and engineering practicability of the proposed method were verified by conducting tests on a large amount of data collected from 300 pump trucks of a certain model.The results provide some references for the fatigue load spectrum preparation of the multi-joint boom structure of concrete pump trucks.