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Diagnostic System of Fatigue Damage under Random Loading with Statistical F test

机译:统计F试验随机装载下疲劳损伤的诊断系统

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In general, fatigue damage is calculated from S-N curve for materials or structures. However this method contains unreliability for stresses and cycles which are measured or estimated. Even if on-line monitoring system is used to obtain stresses and cycles under operation, S-N curve itself contains much scatter. In addition, on-line monitoring is usually monitored each sensor independently, which is easily affected by the change of circumstances. Therefore the estimated residual life still contains unreliability. Whilst, this novel statistical diagnostic method described in this paper is a low cost simple system. The method employs system identification using a response surface with several measured points and damage is automatically diagnosed by testing the change of the identified system by statistical F test. Therefore S-N curve is not needed to estimate the damage. In this paper, an experiment was carried out to confirm whether this novel method is effective to estimate the fatigue damage of a welded structure under random loading condition. It was found that the method is useful to estimate the fatigue damage effectively even under random loading condition.
机译:通常,疲劳损坏由用于材料或结构的S-N曲线计算。然而,该方法包含测量或估计的应力和循环的不可靠性。即使在线监测系统用于在操作下获得应力和循环,即使是S-N曲线本身也含有很多散射。此外,通常独立地监控在线监测,这很容易受到情况变化的影响。因此,估计的剩余寿命仍然包含不可靠性。虽然,本文描述的这种新型统计诊断方法是一种低成本简单系统。该方法采用系统识别使用具有若干测量点的响应表面,通过通过统计F测试测试所识别的系统的变化自动诊断损坏。因此,不需要S-N曲线来估计损坏。在本文中,进行了实验以确认这种新方法是有效估计随机加载条件下焊接结构的疲劳损伤。结果发现,即使在随机加载条件下,该方法也可有效估计疲劳损伤。

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