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基于谱元法和北方苍鹰算法的振动损伤检测
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作者 周运来 姚峰 +2 位作者 白春玉 李凯翔 朱胜阳 《华东交通大学学报》 2024年第5期29-38,共10页
【目的】为了解决结构损伤检测中有限元法建模不精确和计算成本高的问题,提出了一种结合谱元法与北方苍鹰优化算法(NGO)的结构健康监测(SHM)技术。【方法】首先,采用谱元法建立结构的频响函数,并应用于结构的损伤定位与损伤检测目标函... 【目的】为了解决结构损伤检测中有限元法建模不精确和计算成本高的问题,提出了一种结合谱元法与北方苍鹰优化算法(NGO)的结构健康监测(SHM)技术。【方法】首先,采用谱元法建立结构的频响函数,并应用于结构的损伤定位与损伤检测目标函数的构造,将损伤检测划分为两阶段问题,以降低算法优化维度和检测复杂性。其次,引入北方苍鹰优化算法(NGO),对目标函数进行优化求解。最后,以平面桁架结构和ASCE Benchmark结构为研究对象,利用NGO、粒子群优化(PSO)和蚁狮优化(ALO)算法对其各种损伤工况进行损伤检测性能对比。【结果】结果表明,在低维度和简单结构中,NGO,PSO和ALO算法均表现出良好的求解能力;但在高维度和大型复杂结构中,NGO相较于PSO和ALO算法具有更高的损伤检测能力和鲁棒性。【结论】改进后的方法提高了损伤检测数值建模的精度。 展开更多
关键词 谱元法 损伤检测 NGO ASCE benchmark structure
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Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram
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作者 Min He Peng Liang +1 位作者 Jiuxian Liu Zhiqiang Liang 《Journal of Traffic and Transportation Engineering(English Edition)》 EI CSCD 2024年第2期209-224,共16页
Automatic modal identification via automatically interpreting the stabilization diagram provides key technique in bridge structural health monitoring.This paper reviews the progress in the area of automatic modal iden... Automatic modal identification via automatically interpreting the stabilization diagram provides key technique in bridge structural health monitoring.This paper reviews the progress in the area of automatic modal identification based on interpreting the stabilization diagram.The whole identification process is divided into four steps from establishing the stabilization diagram to removing the outliers in the identification results.The criteria and algorithms used in each step in the existing studies are carefully summarized and classified.Comparisons between typical methods in cleaning and interpreting the stabilization diagram are also conducted.Real structure benchmarks used in the existing studies to validate the proposed automatic modal identification methods are also summarized.Based on the review and comparison,the specific ratio method for cleaning the stabilization diagram,the hierarchical clustering method for interpreting the stabilization diagram and the adjusted boxplot for removing the outliers in the identification results are the most suitable methods for each step.The key point of automatic modal identification based on interpreting the stabilization diagram has also discussed,and it is recommended to pay more attention to cleaning the stabilization diagram.Future study about automatic modal identification under situation with very few sensors deployed should be more concerned.This review aims to help researchers and practitioners in implementing existing automatic modal identification algorithms effectively and developing more suitable and practical methods for civil engineering structures in the future. 展开更多
关键词 Bridge structural health monitoring Automatic modal identification Stabilization diagram Eriteria and methods Real structure benchmarks
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