• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Heliyon >Damage detection of a hybrid composite laminate aluminum/glass under quasi-static and fatigue loadings by acoustic emission technique
【2h】

Damage detection of a hybrid composite laminate aluminum/glass under quasi-static and fatigue loadings by acoustic emission technique

机译：声发射技术在准静态和疲劳载荷下混合复合材料层压铝/玻璃的损伤检测

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper deals with the characterization by Acoustic Emission technique of damages occurring in a hybrid laminate aluminium/glass during quasi-static and fatigue tests. Indeed, hybrid laminates materials metal/composites are more and more considered in structure, automotive and aerospace designs because of their good mechanical performances and lightness. To understand their damages characteristics, several types of laminates (fiber orientations, number of folds, presence or not of an aluminium sheet) have been tested. The acoustic emission analysis has been realized using statistical multi-parameters methods of data clustering: combination of Principal Components Analysis (PCA) and k-means methods in unsupervised analysis and Classification and Regression Trees (CART) in supervised analysis. Using these methods, it was possible to identify damages occurring during both quasi-static and fatigue tests. Acoustic emission parameters such as counts to peak (PCNTS), amplitude, duration, counts and frequency come out as the most relevant to classify the damage mechanisms; and with the energy parameter, friction mechanisms that can occur during fatigue tests have been sorted.
机译：本文通过声发射技术对混合层压铝/玻璃在准静态和疲劳测试期间发生的损伤进行表征。实际上，由于金属/复合材料的良好机械性能和轻便性，它们在结构，汽车和航空航天设计中越来越多地被考虑使用金属/复合材料。为了了解其损坏特性，已经测试了几种类型的层压板（纤维取向，折叠数，是否存在铝板）。声发射分析已使用数据聚类的统计多参数方法实现：无监督分析中的主成分分析（PCA）和k-均值方法相结合，监督分析中的分类和回归树（CART）。使用这些方法，可以识别在准静态和疲劳测试期间发生的损坏。声发射参数，例如峰数（PCNTS），幅度，持续时间，计数和频率，是对损伤机理进行分类最相关的参数。通过能量参数，对疲劳测试期间可能发生的摩擦机理进行了分类。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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