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原文传递 Load-Effect Separation of a Large-Span Prestressed Structure Based on an Enhanced EEMD-ICA Methodology

题名：	Load-Effect Separation of a Large-Span Prestressed Structure Based on an Enhanced EEMD-ICA Methodology
正文语种：	eng
作者：	Luo, Yaozhi;Fu, Wenwei;Hua-Ping Wan;Shen, Yanbin
作者单位：	Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China;Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China;Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China;Zhejiang Univ Coll Civil Engn & Architecture Hangzhou 310058 Peoples R China
关键词：	Structural health monitoring (SHIM);Load effect separation;Independent component analysis (ICA);Ensemble empirical mode decomposition (EEMD);Prestressed cable-net structure
摘要：	Prestressed structures have gained popularity in large-span buildings due to their great spanning capacity and light self-weights. This kind of structure is normally subjected to multiple types of loads, such as temperature load, wind load, and construction load. The determination of different load effects not only guides the design of similar structures but also helps reveal the damage-induced variation that would be concealed by the environmental loads. To determine the different load effects, separation of the load effects collected by structural health monitoring (SHM) is needed. This study presents an enhanced approach for load effect separation based on independent component analysis (ICA) and ensemble empirical mode decomposition (EEMD), called EEMD-ICA. The proposed method is to minimize manual tuning of user-defined parameters, which makes the EEMD-ICA suitable for separating load effects from the different measured data. Specifically, an optimization method is developed to determine the appropriate level of the added white noise in the EEMD using the relative root-mean-square error (RMSE) index. A logarithm form of Bayesian information criterion (BIC) is employed for the robust estimation of the number of load effects in the ICA. Simulated structural responses from a square orthogonal cable-net are used to validate the effectiveness of the EEMD-ICA. Then, the proposed methodology is employed to extract various load effects from the SHM data of the National Speed Skating Oval (NSSO), which is the largest single-layer cable-net structure in the world. (C) 2021 American Society of Civil Engineers.
出版年：	2022
期刊名称：	Journal of structural engineering
卷：	148
期：	3
页码：	04021288.1-04021288.15