首页> 外文期刊>Smart structures and systems >A non-destructive method for elliptical cracks identification in shafts based on wave propagation signals and genetic algorithms
【24h】

A non-destructive method for elliptical cracks identification in shafts based on wave propagation signals and genetic algorithms

机译:基于波传播信号和遗传算法的轴类椭圆裂纹无损识别方法

获取原文
获取原文并翻译 | 示例

摘要

The presence of crack-like defects in mechanical and structural elements produces failures during their service life that in some cases can be catastrophic. So, the early detection of the fatigue cracks is particularly important because they grow rapidly, with a propagation velocity that increases exponentially, and may lead to long out-of-service periods, heavy damages of machines and severe economic consequences. In this work, a non-destructive method for the detection and identification of elliptical cracks in shafts based on stress wave propagation is proposed. The propagation of a stress wave in a cracked shaft has been numerically analyzed and numerical results have been used to detect and identify the crack through the genetic algorithm optimization method. The results obtained in this work allow the development of an on-line method for damage detection and identification for cracked shaft-like components using an easy and portable dynamic testing device.
机译:机械和结构元件中出现裂纹状缺陷会在其使用寿命期间造成故障,在某些情况下可能是灾难性的。因此,疲劳裂纹的早期检测尤为重要,因为它们会迅速增长,并且传播速度呈指数增长,并且可能导致较长的停用时间,严重的机器损坏和严重的经济后果。在这项工作中,提出了一种基于应力波传播的无损检测和识别轴中椭圆形裂纹的方法。对裂纹轴中应力波的传播进行了数值分析,并通过遗传算法优化方法将数值结果用于检测和识别裂纹。在这项工作中获得的结果允许开发一种在线方法,该方法使用易于携带的动态测试设备来检测和识别破裂的轴状部件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号