Load-Effect Separation of a Large-Span Prestressed Structure Based on an Enhanced EEMD-ICA Methodology
Publication: Journal of Structural Engineering
Volume 148, Issue 3
Abstract
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 . 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 . 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.
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Data Availability Statement
All of the data, models, or code that support the findings of this study are available from the corresponding author on reasonable request.
Acknowledgments
This work was supported by the Zhejiang Provincial Key Research and Development Program (Grant No. 2021C03154), the National Natural Science Foundation of China (Grant Nos. 51778568 and 51878235), and the Fundamental Research Funds for the Central Universities (Grant Nos. 2020QNA4015 and 2020XZZX005-04).
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Journal of Structural Engineering
Volume 148 • Issue 3 • March 2022
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© 2021 American Society of Civil Engineers.
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Received: Apr 7, 2021
Accepted: Oct 12, 2021
Published online: Dec 22, 2021
Published in print: Mar 1, 2022
Discussion open until: May 22, 2022
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