文章摘要
娄本星,马福恒,罗翔.基于非线性动力学的泵站建筑物变形性态诊断方法研究[J].水利学报,2023,54(4):486-496
基于非线性动力学的泵站建筑物变形性态诊断方法研究
Abnormality diagnosis for deformation behavior of pump station buildings based on nonlinear dynamics model
投稿时间:2022-09-18  
DOI:10.13243/j.cnki.slxb.20220751
中文关键词: 泵站建筑物  变形  安全诊断  混沌特性  非线性动力学
英文关键词: pump station buildings  deformation  safety diagnosis  chaotic characteristics  nonlinear dynamics model
基金项目:江苏省水利科技项目(2021006);国家自然科学基金联合基金重点项目(U2243223);国家重点研发计划项目(2019YFC1510802)
作者单位E-mail
娄本星 南京水利科学研究院, 江苏 南京 210029
河海大学 水利水电学院, 江苏 南京 210098 
 
马福恒 南京水利科学研究院, 江苏 南京 210029 fhma@nhri.cn 
罗翔 南京水利科学研究院, 江苏 南京 210029
河海大学 水利水电学院, 江苏 南京 210098 
 
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中文摘要:
      变形性态分析是诊断泵站建筑物健康状态的重要科学手段,传统水工结构安全诊断方法以单测点变形分析为主,而泵站建筑物更关注相邻测点间的协同变形性态。鉴于泵站变形时间序列表现出极强的非线性,本文将泵站相邻测点视作两个非线性动力系统,基于混沌理论证明了泵站变形时间序列普遍具有混沌特性;在此基础上,引入动力学自相关因子指数与互相关因子指数,提出了基于非线性动力学的泵站变形性态诊断方法;最后分别结合Logistic理想时间序列和南水北调工程某泵站枢纽,验证了该方法的有效性。实例分析表明:所提出的方法能够有效表征非线性系统的动力学结构及动力学距离,可以从相邻测点的内在驱动因素、不均匀变形态势等方面综合诊断泵站的变形性态,为泵站建筑物安全诊断提供了一种新方法。
英文摘要:
      Deformation behavior analysis is an important scientific means to diagnose the operating status of pump station buildings, and single measure point deformation is focused mainly in traditional safety diagnosis method, however, the cooperative deformation properties between adjacent measure points should be more concerned for the pump station.In view of the strong nonlinear characteristics of the deformation time series for pump station, the adjacent measure points of the pump station were regarded as two nonlinear dynamic systems in this paper.Based on the chaos theory, it was proved that the deformation time series of the pump station generally have chaotic characteristics.Furthermore, by introducing the dynamic autocorrelation factor and cross-correlation factor, an abnormality diagnosis approach for deformation of pump station buildings based on nonlinear dynamics model was put forward.Finally, the validity of the method proposed was verified by the examples of the Logistic time series and a pump station of the South-to-North Water Diversion Project.The results show that the method proposed can represent the dynamic structure and distance effectively between two nonlinear systems, and diagnose the deformation behavior of pump stations comprehensively from the internal driving factors and uneven deformation tendency of adjacent measure points, which provides a new approach to master the operating status of pump station buildings.
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