Dynamic monitoring and data analysis of a long-span arch bridge based on high-rate GNSS-RTK measurement combining CF-CEE
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ORIGINAL PAPER
Dynamic monitoring and data analysis of a long‑span arch bridge based on high‑rate GNSS‑RTK measurement combining CF‑CEEMD method Yanbo Niu1 · Yun Ye2 · Weijian Zhao1 · Jiangpeng Shu1 Received: 13 June 2020 / Revised: 3 September 2020 / Accepted: 5 September 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The purpose of this article is to develop a combined data analysis method of Chebyshev filter (CF) and complementary ensemble empirical mode decomposition (CEEMD) for weakening the influence of the background noise of global navigation satellite system (GNSS) sensors. To test the effect of noise reduction using the proposed CF-CEEMD method, a nonlinear signal with additive noise is first introduced. Then, the GNSS measured signal of a long-span arch bridge is analyzed using CF-CEEMD. Moreover, the dynamic characteristic parameters (i.e. natural frequencies, mode shapes and damping ratios) of the bridge are extracted from the de-noised signal employing the data-driven stochastic subspace identification (DD-SSI) algorithm. Meanwhile, the finite element (FE) model of the bridge is established to predict the natural frequencies and the mode shapes via modal analysis. Finally, the results depict that GNSS-RTK technique is applicable to monitor the dynamic response of long-span bridges with reasonable accuracy via CF-CEEMD analysis. Furthermore, the natural frequencies and mode shapes derived experimentally via DD-SSI analysis have good agreement with the predicted values based on FE model. Keywords Long-span arch bridge · Dynamic characteristic · GNSS-RTK · Chebyshev filter · CEEMD · Stochastic subspace identification · Finite element model
1 Introduction With the advancement and application of new technologies and materials, an increased number of long-span bridges have been built, e.g. Tsing Ma Bridge, Runyang Bridge, Jiangyin Bridge, Hong Kong–Zhuhai–Macau Bridge etc. These structures have an obvious deformation influenced by external excitations, such as earthquake, wind, traffic, tidal currents, and their combination. Excessive deformation will lead to structural instability and even destruction. Therefore, a real-time understanding of the structural deformation under external excitations by employing field measurement techniques is an extremely necessary work. At present, accelerometers are widely applied in monitoring * Jiangpeng Shu [email protected] 1
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, People’s Republic of China
The Architectural Design and Research Institute of Zhejiang University Co. Ltd, Hangzhou, People’s Republic of China
2
the dynamic deformation of long-span bridges in an efficient manner [1, 2]. However, they inevitably result in drift errors when they require a double integral for deriving displacement response of the structure [3, 4]. Subsequently, the advent of global navigation satellite system (GNSS) solves this problem better [5–7]. GNSS can measure static, semistatic, and dynamic displaceme
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