Fatigue tests of truck crane jib structure have great difficulty, long testing cycle, and high cost. Therefore, with the portfolio strategy for “collection, prediction, measurement and simulation” being introduced, an improved support vector regression (v‐SVR) algorithm is proposed to predict the equivalent load spectrum based on the small measured load spectrum and the fatigue residual life evaluation model is built. First, the v‐SVR algorithm corrected in kernel function, decision function, and parameter optimization is utilized to acquire the equivalent load spectrum. Second, the distribution of critical points is determined by the case‐based reasoning technique. The simulation model of first main stress‐time histories for critical points is established, and the two‐dimensional stress spectrum is obtained by the rain‐flow counting method. Finally, the fatigue residual life of jib structure is estimated by the Forman formula. Taking ZLJ5551JQZ110V truck crane jib structure as an example, the effectiveness of the above method is validated.

中文翻译：

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基于改进v‐SVR算法的悬臂结构疲劳剩余寿命估算，获得等效载荷谱

汽车起重机吊臂结构的疲劳试验难度大，试验周期长，成本高。因此，通过引入“收集，预测，测量和模拟”的组合策略，提出了一种改进的支持向量回归（v- SVR）算法，以基于较小的实测载荷谱和疲劳剩余寿命来预测等效载荷谱。建立评估模型。首先，v‐在内核函数，决策函数和参数优化中校正的SVR算法用于获取等效负载谱。其次，关键点的分布由基于案例的推理技术确定。建立了关键点的第一主要应力时间历史模拟模型，并通过雨流计数法获得了二维应力谱。最后，副臂结构的疲劳剩余寿命通过Forman公式估算。以ZLJ5551JQZ110V汽车起重机悬臂结构为例，验证了上述方法的有效性。