一种和用户数据相关的汽车加速疲劳试验新技术

NEW TECHNIQUE FOR AUTOMOTIVE ACCELERATED FATIGUE TEST CORRELATED WITH CUSTOMER DATA

以某重型载货汽车承载构件的疲劳可靠性为研究对象,提出汽车试验场和用户数据相关的可靠性试验新方法,该方法可以将用户对车辆的实际使用工况与试验场强化试验结合起来,避免试验盲目性。针对用户使用的典型路面和试验场强化路的试验数据,应用雨流计数法获得载荷分布矩阵,根据相关性方程,优化计算出90%用户数据和试验场的累积疲劳损伤及载荷谱。通过对试验数据的相关性分析,得到试验场路面强化系数和用户数据相关的可靠性试验规范。试验结果表明,新规范与现行的试验方法相比,能快速预报车辆承载构件的潜在故障,缩短试验周期,降低试验成本及新产品开发费用。

The fatigue reliability of the load carrying structures on a heavy duty vehicle was selected as the research object, a new method for customer data correlation reliability test was proposed based on automotive proving ground, and the method can combine the real customer field usage to the vehicle with the enhancement test on proving ground, and avoid the test blindness. Aiming at the data that were tested on the typical read surfaces of the customer and enhancement reads of proving ground, the rain-flow counting method was used to obtain the load distribution matrixes, according to the correlation equation, the cumulative fatigue damage and loading spectrum covering the 90% customer data and proving ground were optimized and calculated. Through the correlation analysis of the test data, the road surface enhancement coefficient and the customer data reliability test specifications of proving ground were obtained. The test results indicate that the new specifications can predict the potential failures of the load carrying structures quickly, shorten the test cycles, and reduce the test cost and new product development expense, compared with the existing test method.