...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Solids and Structures >Defect identification in laminated composite structures by BEM from incomplete static data
【24h】

Defect identification in laminated composite structures by BEM from incomplete static data

机译：利用BEM从不完整的静态数据识别层压复合结构中的缺陷

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This work examines the identification of defects in anisotropic laminated composite structures using the boundary element method (BEM) from incomplete static response data including noise effects. The main objective in this paper is to anticipate effects of layup sequences and sensitivity of a measurement system of two-dimensional structures made of composite materials for detecting defects. It is a key goal to create understanding on the influence of the monitorization of advanced structures into their design. The identifiability is studied in terms of layup, measurement and loading design by using boundary element modeling. The concept of identifiability is based on the existing inversion strategy, which consists of the minimization of a cost functional with the possibility of taking into account the entire measurement-specimen system, and therefore interpreting quantitatively the measurements. In this article, after verifying that the boundary element model is in good agreement with numerical results reported by other investigators, the effect of noise in the measurements on the identifiability is studied with respect to different design parameters of laminated composites using a wide set of numerical examples. (C) 2004 Elsevier Ltd. All rights reserved.
机译：这项工作使用边界元法（BEM）从包括噪声效应在内的不完整静态响应数据中检验了各向异性叠层复合结构中的缺陷识别。本文的主要目的是预期铺层顺序的影响和由复合材料制成的二维结构测量系统的灵敏度，以检测缺陷。建立对高级结构的监视对其设计的影响的理解是一个关键目标。通过使用边界元建模，在上覆，测量和荷载设计方面研究了可识别性。可识别性的概念基于现有的反演策略，包括将成本函数最小化，并考虑到整个测量-样本系统，从而定量地解释测量结果。在验证边界元模型与其他研究者报告的数值结果吻合良好之后，本文使用大量数值方法针对层压复合材料的不同设计参数研究了测量中的噪声对可识别性的影响。例子。 （C）2004 Elsevier Ltd.保留所有权利。

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