To study the influence of random parameter on the reliability of the vehicle front stabilizer bar, the fatigue strength is analyzed according to the random fatigue strength prediction method, then the fatigue limit of the actual parts are estimated, a new fatigue failure model is improved by using the fatigue limit $S_e$ of actual parts. Through this model, the stress spectrum collected by real vehicle is introduced, Monte-Carlo simulation method is adopted to analyze the reliability and sensitivities of stabilizer bar under driving conditions. In addition, the influence of each basic random parameter on the failure probability is obtained. The results show that stabilizer bar diameter has a great influence on the failure probability, which provides certain reference for improving the reliability of the front stabilizer bar.

为了研究随机参数对车辆前稳定杆可靠性的影响，根据随机疲劳强度预测方法对疲劳强度进行了分析，然后估算了实际零件的疲劳极限，从而改进了新的疲劳失效模型。使用疲劳极限 ${\mathrm{小号}}_{Ë}$实际零件。通过该模型，介绍了真实车辆所收集的应力谱，并采用蒙特卡洛模拟方法对稳定杆在行驶条件下的可靠性和灵敏度进行了分析。另外，获得每个基本随机参数对失效概率的影响。结果表明，稳定杆直径对失效概率影响很大，为提高前稳定杆的可靠性提供了一定的参考。