Detecting multiple cracks in beams using hierarchical genetic algorithms

Detecting multiple cracks in beams using hierarchical genetic algorithms
复制标题

使用分层遗传算法检测梁中的多个裂纹

DOI:
--
复制
发表时间:
2014-02
期刊:
Journal of Vibroengineering, 2014, 16(1): 364-373
影响因子:
--
通讯作者:
Deli Fan
Deli Fan
中科院分区:
其他
文献类型:
--
作者:
Shijie Zheng;Xiaohua Liang;Hongtao Wang;Deli Fan

文献摘要

参考文献

被引文献

相似文献

本文研究了一种识别梁内多裂纹的方法。本研究的新颖之处在于使用分层遗传算法来检测多个裂缝的数量、位置和程度。为了验证该方法的可行性,将该算法应用于梁的双裂缝、三裂缝和四裂缝的识别。检测到的裂纹位置和尺寸与实际裂纹非常吻合。数值模拟结果表明,与传统遗传算法相比,该遗传算法大大减少了所需的有限元计算量。结果还从避免过早收敛的能力方面证明了HGA的优势。
This study deals with a method to identify multiple cracks in a beam. The novelty of this study is the use of a hierarchical genetic algorithm to detect the number, location, and the extent of multiple cracks. To demonstrate the feasibility of the present method, this algorithm is applied to the identification of double or triple cracks in a beam as well as four cracks. The detected crack locations and sizes are in excellent agreement with the actual ones. The numerical simulation reveal the HGA substantially reduces the total number of FE computation required and they are many orders smaller compared to conventional GA. The results also demonstrate the advantages of HGA from the viewpoints of its ability to avoid premature convergence.
DOI: 10.1061/(asce)em.1943-7889.0000209
发表时间: 2011-02
期刊: Journal of Engineering Mechanics-asce
影响因子: --
作者:
S. Caddemi;A. Morassi
通讯作者: S. Caddemi;A. Morassi
DOI: 10.1016/j.ymssp.2008.07.008
发表时间: 2009-04
影响因子: 8.4
作者:
H. Guo;Zhengliang Li
通讯作者: H. Guo;Zhengliang Li
DOI: 10.1006/jsvi.1999.2624
发表时间: 2000-02
影响因子: 4.7
作者:
Y. Zou;L. Tong;G. Steven
通讯作者: Y. Zou;L. Tong;G. Steven
DOI: 10.1061/(asce)0733-9445(2005)131:9(1464
发表时间: 2005-09
期刊: Journal of Structural Engineering-asce
影响因子: --
作者:
Sang-Youl Lee;S. Wooh
通讯作者: Sang-Youl Lee;S. Wooh
DOI: 10.1016/j.mcm.2010.12.058
发表时间: 2011-05
期刊: Math. Comput. Model.
影响因子: --
作者:
M. Nobahari;S. M. Seyedpoor
通讯作者: M. Nobahari;S. M. Seyedpoor