摘要
Abstract
To enhance the accuracy of fatigue life assessment for crane structures,an adaptive stress spectrum compilation method based on density was proposed.A density-based clustering algorithm identifies core stress clusters within rain-flow counting results,while key parameters are adaptively determined using a K-distance plot.Sparsely populated regions and isolated points are next refined through kernel-density estimation,allowing bin limits to self-optimize in response to the data's own distribution and thereby acquiring and preserving every critical stress information accurately.Benchmarked against conventional fixed-binning by the relative error in calculated fatigue damage,the method markedly reduces assessment bias,reproduces the true stress-cycle spectrum more faithfully,and furnishes a more reliable dataset for life assessment.关键词
起重机械/应力谱/疲劳损伤/自适应/应力谱/方法Key words
hoisting machinery/stress spectrum/fatigue damage/self-adaption/stress spectrum/method分类
机械制造
