海南大学学报（自然科学版中英文）2026，Vol.44Issue(1)：25-39,15.DOI:10.65658/j.hndk.2025011601
基于全局传递比函数与主成分分析的结构损伤识别
Structural damage detection based on global transmissibility functions and principal component analysis
摘要
Abstract
Based on global transmissibility functions and principal component analysis,eigenvalues are extracted to construct damage indices.These indices are then combined with the statistical properties to establish detection thresholds,proposing a novel method for effective structural damage identification.Unlike conventional approaches,this method eliminates the need for pre-selecting global transmissibility and replaces frequency band selection with principal components'selection,reducing reliance on subjective judgment and improving damage detection accuracy.Numerical simulations and experimental tests demonstrated effectiveness of the proposed method on both single and multiple damage scenarios across diverse structural forms,including continuous beams,spatial steel trusses,and steel signal towers under varying loads.Even under high noise levels or minor localized damage,while the damage localizations may extend to adjacent regions,the method still provide reasonable and reliable results.关键词
损伤识别/主成分分析/全局传递比函数/损伤指标Key words
damage detection/principal component analysis/global transmissibility functions/damage index分类
建筑与水利引用本文复制引用
陈焰,乔冠东,王奇..基于全局传递比函数与主成分分析的结构损伤识别[J].海南大学学报（自然科学版中英文）,2026,44(1):25-39,15.基金项目
本文得到以下基金项目支持:海南省自然科学基金面上项目(525MS044) （525MS044）
海南省重点研发计划项目(ZDYF2022SHFZ353). This article was supported by the following funding projects:Hainan Provincial Natural Science Foundation General Program(525MS044) （ZDYF2022SHFZ353）
Hainan Province Key Research and Development Program Project(ZDYF2022SHFZ353). （ZDYF2022SHFZ353）
