基于响应倒谱域特征的水电站厂房结构损伤评估OA
Damage Assessment of Hydropower Plant Structures Based on Response Cepstrum Domain Characteristics
数据驱动的建模方法已被广泛用于水工结构安全监测领域,但仍面临诸多挑战,包括振动响应噪声的干扰以及复杂模型泛化能力不足和过拟合现象.针对大型水电站厂房结构振动损伤问题,文章提出了一种基于响应倒谱域特征的新方法,通过分析振动响应的倒谱系数和主成分分析,有效捕捉结构振动的动态特性并减少噪声和负载的干扰,实现了厂房损伤准确识别和量化.
Data-driven modeling methods have been widely used in the field of safety monitoring for hydraulic structures;however,they still face several challenges,including interference from vibration response noise,insufficient model generalization capabilities,and overfitting issues.To address the problem of vibration damage in large hydropower station's powerhouse structures,this paper proposes a novel method based on response cepstral domain features.By analyzing the cepstral coefficients of vibration responses and applying principal component analysis,the method effectively captures the dynamic characteristics of structural vibrations while reducing interference from noise and loads,enabling accurate identification and quantification of structural damage.
赵玉宏;李乐晨;杨志超
河南省水利科技应用中心,河南 郑州 450003河海大学 水利水电学院,江苏 南京 210098河南省水利科技应用中心,河南 郑州 450003
水利科学
结构振动损伤响应倒谱特征主成分分析异常检测
structural vibration damageresponse features in quefrency domainprincipal component analysisanomaly detection
《河南水利与南水北调》 2024 (11)
11-13,3
国家中央高校基本科研业务费专项资金资助项目(B240201069)河南省财政厅资金资助项目(824013516).
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