An investigation of the dynamic characteristics of super high-rise buildings using real-time kinematic–global navigation satellite system technology

Xiong, Chunbao; Niu, Yanbo; Li, Zhi

doi:10.1177/1369433217732497

Cited by 15 publications

(6 citation statements)

References 37 publications

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“…Global positioning system (GPS) has been proven a useful means with which to monitor structural dynamic displacement, which is especially suitable for large scale structures with large deformation and low frequency [5][6][7]. The authors of this paper have performed an in-depth study on this topic [8][9][10]. GPS real-time kinematic (RTK) is the primary method used for monitoring structural continuous dynamic deformation [11].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Parameter Identification of a Long-Span Arch Bridge Based on GNSS-RTK Combined with CEEMDAN-WP Analysis

Xiong

Niu

2019

Applied Sciences

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Under the action of wind, traffic, and other influences, long-span bridges are prone to large deformation, resulting in instability and even destruction. To investigate the dynamic characteristics of a long-span concrete-filled steel tubular arch bridge, we chose a global navigation satellite systems-real-time kinematic (GNSS-RTK) to monitor its vibration responses under ambient excitation. A novel approach, the use of complete ensemble empirical mode decomposition with adaptive noise combined with wavelet packet (CEEMDAN-WP) is proposed in this study to increase the accuracy of the signal collected by GNSS-RTK. Fast Fourier transform (FFT) and random decrement technique (RDT) were adopted to calculate structural modal parameters. To verify the combined denoising and modal parameter identification methods proposed in this paper, we established the structural finite element model (FEM) for comparison. Through simulation and comparison, we were able to draw the following conclusions. (1) GNSS-RTK can be used to monitor the dynamic response of long-span bridges under ambient excitation; (2) the CEEMDAN-WP is an efficient method used for the noise reduction of GNSS-RTK signals; (3) after signal filtering and noise reduction, structural modal parameters are successfully derived through RDT and illustrated graphically; and (4) the first-order natural frequency identified by field measurement is slightly higher than the FEM in this work, which may have been caused by bridge damage or the inadequate accuracy of the finite element model.

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Section: Introductionmentioning

confidence: 99%

Dynamic Parameter Identification of a Long-Span Arch Bridge Based on GNSS-RTK Combined with CEEMDAN-WP Analysis

Xiong

Niu

2019

Applied Sciences

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“…Kim et al [102] applied the combinatorial computing method of the GNSS technology and accelerometer measurement to the dynamic displacement monitoring of the Humber Bridge in the United Kingdom, and obtained high positioning accuracy. Xiong et al [103,104] applied the GPS RTK technology to the dynamic monitoring of super high-rise buildings in Tianjin Radio and Television Tower and Tianjin Gaoyin Finance 117 Building. They also processed the monitoring data with Chebyshev Type I high-pass filtering, and the dynamic displacement amplitude reached ±3.0 and ±5 cm.…”

Section: A Review On Gnss Positioning Solution Methods For Monitoringmentioning

confidence: 99%

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

Wang

Zhao

et al. 2021

IEEE Access

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Deformation monitoring and dynamic characteristic analysis of bridge structures are the vital and basic requirements for the safe operation of bridges. In recent years, Global Navigation Satellite System (GNSS) has become increasingly widely used in bridge structural health monitoring with the development of the GNSS technology, especially the continuous improvement and development of China's Beidou navigation satellite system (BDS). This article summarises the application process of GNSS dynamic deformation monitoring and the development of GNSS deformation measurement technology of bridge structural health monitoring, the dynamic characteristic identification method and its application in bridge GNSS monitoring. The positioning solution methods for GNSS monitoring, the high sampling rate GNSS receiver for monitoring, multi-frequency and multi-system GNSS monitoring and the weakening of multipath effect of GNSS monitoring are summarised in detail. Then, the conclusions and prospects are posed for future research and related application.

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“…Through the spectrum analysis in section 2.2, it is understood that the background noise in GNSS-RTK positioning solutions is composed of low-frequency multipath error within 0.04 Hz and evenly distributed white noise. As the fundamental frequency of the Tianjin Radio and Television Tower is 0.1586 Hz [19], the low-frequency noise can be eliminated by a high-pass filter, such as the Butterworth high-pass filter. It is worth mentioning that the Butterworth filter has a flat passband, meaning the real measurement components have almost no loss.…”

Section: A Combined Algorithm For Denoising Gnss-rtk Positioning Solu...mentioning

confidence: 99%

A combined algorithm for denoising GNSS-RTK positioning solutions with application to displacement monitoring of a super-high-rise building

Xiong

Gao

et al. 2021

Meas. Sci. Technol.

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Given that global navigation satellite system (GNSS)-based real-time kinematic (GNSS-RTK) monitoring accuracy is easily interfered with by residual errors, a combined algorithm is proposed for signal denoising with application to the GNSS-RTK positioning solutions of a super-high-rise building; namely, the Tianjin Radio and Television Tower in China. The proposed denoising algorithm is a combination of the Butterworth high-pass filter and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), after which the intrinsic mode function components are selected based on the effective coefficient, the correlation coefficient and the power spectral density. After signal filtering, the structural dynamic deformation is 36.0 mm in the horizontal directions and 48.4 mm in the up-direction. Two orders of natural frequencies of the Tianjin Radio and Television Tower are successfully identified (i.e. 0.1583 Hz and 1 Hz). In addition, the relative error of the fundamental frequency is less than 0.44% compared with previous studies. The results reveal the reliability of the combined Butterworth–CEEMDAN algorithms for dealing with GNSS-RTK measurements. Moreover, the improvement in the GNSS-RTK sampling frequency is conducive to extracting more helpful monitoring information. Furthermore, the dynamic deformation data in this paper indicate that the Tianjin Radio and Television Tower is operating normally.

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An investigation of the dynamic characteristics of super high-rise buildings using real-time kinematic–global navigation satellite system technology

Cited by 15 publications

References 37 publications

Dynamic Parameter Identification of a Long-Span Arch Bridge Based on GNSS-RTK Combined with CEEMDAN-WP Analysis

Dynamic Parameter Identification of a Long-Span Arch Bridge Based on GNSS-RTK Combined with CEEMDAN-WP Analysis

Review of Bridge Structural Health Monitoring Based on GNSS: From Displacement Monitoring to Dynamic Characteristic Identification

A combined algorithm for denoising GNSS-RTK positioning solutions with application to displacement monitoring of a super-high-rise building

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