...
首页> 外文期刊>Comptes rendus. Mecanique >Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization
【24h】

Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization

机译:使用实验测量频率和粒子群优化的变化的光束结构中的裂缝识别方法

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, a technique is presented for the detection and localization of an open crack in beam-like structures using experimentally measured natural frequencies and the Particle Swarm Optimization (PSO) method. The technique considers the variation in local flexibility near the crack. The natural frequencies of a cracked beam are determined experimentally and numerically using the Finite Element Method (FEM). The optimization algorithm is programmed in MATLAB. The algorithm is used to estimate the location and severity of a crack by minimizing the differences between measured and calculated frequencies. The method is verified using experimentally measured data on a cantilever steel beam. The Fourier transform is adopted to improve the frequency resolution. The results demonstrate the good accuracy of the proposed technique. (C) 2017 Academie des sciences. Published by Elsevier Masson SAS. All rights reserved.
机译:本文使用实验测量的固有频率和粒子群优化(PSO)方法,提出了一种用于检测和定位光束状结构中的开口裂纹的检测和定位。 该技术考虑了裂缝附近的局部灵活性的变化。 裂纹梁的自然频率使用有限元方法(FEM)通过实验和数值确定。 优化算法在MATLAB中编程。 该算法用于通过最小化测量和计算频率之间的差异来估计裂缝的位置和严重程度。 使用实验测量的数据在悬臂钢束上验证该方法。 采用傅里叶变换来提高频率分辨率。 结果表明了所提出的技术的良好准确性。 (c)2017年Academie Des Sciences。 由Elsevier Masson SA出版。 版权所有。

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