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Han, Houzeng; Wang, Jian; Meng, Xiaolin; Liu, Hua (2016)
Publisher: Elsevier
Languages: English
Types: Article
Subjects:
Large flexible engineering structures, such as long span bridges or tall buildings, are susceptible to quasistatic and dynamic deformations caused by different loadings, thus accurate displacement measurements are desirable to assess the integrity and reliability of the structure. In this study, an integrated system that includes Global Positioning System (GPS), accelerometer and anemometer was developed to obtain the responses of a long span bridge to the extreme wind loadings. Spectral analysis based on the Fast Fourier Transform (FFT) algorithm was first carried out to detect the dominant frequencies of the middle pylon. Then the noisy GPS displacement measurements and accelerometer data are de-noised using the Vondrak filter, and the low frequency disturbance was separated from GPS displacement time series. A least-squares based displacement reconstruction scheme using noise-mitigated accelerations was employed, and the Tikhonov regularization scheme with optimal selected regularization factor was used to alleviate the ill-posedness. At last, an adaptive recursive least squares (RLS) filter was adopted to separate the slow-varying movements, and the total displacement with enhanced measurement accuracy was obtained from the combined quasi-static and high-frequency dynamic displacements. A field monitoring data set collected on the Erqi Yangtze River Bridge, a three-tower cable-stayed bridge located in Wuhan, China, was used to validate the effectiveness of the proposed integration processing scheme. The GPS/accelerometer/anemometer installed on the center supporting tower was used to characterize the interaction between the responses and the ambient wind loadings. The results demonstrate the proposed technique can significantly improve the measurement accuracy of pylon displacement under strong winds. The deformation accuracy with the amplitude of several millimeters can be successfully detected,and the spectrum of the pylon response obtained from both GPS data and accelerometer data reveals the identified first dominant frequency of the middle pylon is 0.172 Hz.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] Meng X. Real-time deformation monitoring of bridges using GPS/accelerometers: University of Nottingham; 2002.
    • [2] Meo M, Zumpano G, Meng X, Cosser E, Roberts G, Dodson A. Measurements of dynamic properties of a medium span suspension bridge by using the wavelet transforms. Mechanical systems and signal processing. 2006;20:1112-33.
    • [3] Psimoulis P, Pytharouli S, Karambalis D, Stiros S. Potential of Global Positioning System (GPS) to measure frequencies of oscillations of engineering structures. Journal of Sound and Vibration. 2008;318:606-23.
    • [4] Nickitopoulou A, Protopsalti K, Stiros S. Monitoring dynamic and quasi-static deformations of large flexible engineering structures with GPS: accuracy, limitations and promises. Engineering Structures. 2006;28:1471-82.
    • [5] Breuer P, Chmielewski T, Górski P, Konopka E, Tarczyński L. The Stuttgart TV Tower-displacement of the top caused by the effects of sun and wind. Engineering Structures. 2008;30:2771-81.
    • [6] Hristopulos D, Mertikas S, Arhontakis I, Brownjohn J. Using GPS for monitoring tallbuilding response to wind loading: filtering of abrupt changes and low-frequency noise, variography and spectral analysis of displacements. GPS Solutions. 2007;11:85-95.
    • [7] Moschas F, Stiros S. Measurement of the dynamic displacements and of the modal frequencies of a short-span pedestrian bridge using GPS and an accelerometer. Engineering Structures. 2011;33:10-7.
    • [8] Roberts GW, Cosser E, Meng X, Dodson A. High frequency deflection monitoring of bridges by GPS. Positioning. 2004;1:0.
    • [9] Yi T-H, Li H-N, Gu M. Experimental assessment of high-rate GPS receivers for deformation monitoring of bridge. Measurement. 2013;46:420-32.
    • [10] Kijewski-Correa T, Kareem A, Kochly M. Experimental verification and full-scale deployment of global positioning systems to monitor the dynamic response of tall buildings. Journal of Structural Engineering. 2006;132:1242-53.
    • [11] Moschas F, Stiros S. Noise characteristics of high-frequency, short-duration GPS records from analysis of identical, collocated instruments. Measurement. 2013;46:1488- 506.
    • [12] Genrich JF, Bock Y. Instantaneous geodetic positioning with 10-50 Hz GPS measurements: Noise characteristics and implications for monitoring networks. Journal of Geophysical Research: Solid Earth (1978-2012). 2006;111.
    • [13] Yu J, Meng X, Shao X, Yan B, Yang L. Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing. Engineering Structures. 2014;81:432-43.
    • [14] Cocard M, Bourgon S, Kamali O, Collins P. A systematic investigation of optimal carrier-phase combinations for modernized triple-frequency GPS. Journal of Geodesy. 2008;82:555-64.
    • [15] Meng X. From Structural Health Monitoring to Geo-Hazard Early Warning: An Integrated Approach Using GNSS Positioning Technology. Earth Observation of Global Changes (EOGC): Springer; 2013. p. 285-93.
    • [16] Townsend B, Fenton P. A practical approach to the reduction of pseudorange multipath errors in a L1 GPS receiver. Proceedings of the 7th International Technical Meeting of the Satellite Division of the Institute of Navigation, Salt Lake City, UT, USA1994.
    • [17] Townsend B, Fenton P, Van Dierendonck K, Van Nee R. L1 carrier phase multipath error reduction using MEDLL technology. PROCEEDINGS OF ION GPS: INSTITUTE OF NAVIGATION; 1995. p. 1539-44.
    • [18] Han S, Rizos C. GPS multipath mitigation using FIR filters. Survey Review. 2000;35:487-98.
    • [19] Ge L, Han S, Rizos C. Multipath mitigation of continuous GPS measurements using an adaptive filter. GPS solutions. 2000;4:19-30.
    • [20] Zheng D, Zhong P, Ding X, Chen W. Filtering GPS time-series using a Vondrak filter and cross-validation. Journal of Geodesy. 2005;79:363-9.
    • [21] Kijewski-Correa T, Kochly M. Monitoring the wind-induced response of tall buildings: GPS performance and the issue of multipath effects. Journal of Wind Engineering and Industrial Aerodynamics. 2007;95:1176-98.
    • [22] Moschas F, Stiros S. Dynamic multipath in structural bridge monitoring: an experimental approach. GPS solutions. 2014;18:209-18.
    • [23] Meng X, Roberts G, Dodson A, Cosser E, Barnes J, Rizos C. Impact of GPS satellite and pseudolite geometry on structural deformation monitoring: analytical and empirical studies. Journal of Geodesy. 2004;77:809-22.
    • [24] Thong Y, Woolfson M, Crowe J, Hayes-Gill B, Jones D. Numerical double integration of acceleration measurements in noise. Measurement. 2004;36:73-92.
    • [25] Park K-T, Kim S-H, Park H-S, Lee K-W. The determination of bridge displacement using measured acceleration. Engineering Structures. 2005;27:371-8.
    • [26] Lee HS, Hong YH, Park HW. Design of an FIR filter for the displacement reconstruction using measured acceleration in low ‐ frequency dominant structures. International Journal for Numerical Methods in Engineering. 2010;82:403-34.
    • [27] Hong YH, Kim H-K, Lee HS. Reconstruction of dynamic displacement and velocity from measured accelerations using the variational statement of an inverse problem. Journal of Sound and Vibration. 2010;329:4980-5003.
    • [28] Li X, Rizos C, Ge L, Tamura Y, Yoshida A. The complementary characteristics of GPS and accelerometer in monitoring structural deformation. Ion 2005 Meeting2005.
    • [29] Meng X, Dodson A, Roberts G. Detecting bridge dynamics with GPS and triaxial accelerometers. Engineering Structures. 2007;29:3178-84.
    • [30] Li X, Ge L, Ambikairajah E, Rizos C, Tamura Y, Yoshida A. Full-scale structural monitoring using an integrated GPS and accelerometer system. GPS solutions. 2006;10:233-47.
    • [31] Chan W, Xu Y, Ding X, Dai W. An integrated GPS-accelerometer data processing technique for structural deformation monitoring. Journal of Geodesy. 2006;80:705-19.
    • [32] Smyth A, Wu M. Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring. Mechanical Systems and Signal Processing. 2007;21:706-23.
    • [33] Hwang J, Yun H, Park S-K, Lee D, Hong S. Optimal methods of RTKGPS/accelerometer integration to monitor the displacement of structures. Sensors. 2012;12:1014-34.
    • [34] Vondrak J. A contribution to the problem of smoothing observational data. Bulletin of the Astronomical Institutes of Czechoslovakia. 1969;20:349.
    • [35] Hong YH, Park HW, Lee HS. A regularization scheme for displacement reconstruction using acceleration data measured from structures. The 15th International Symposium on: Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring: International Society for Optics and Photonics; 2008. p. 693228--11.
    • [36] Tikhonov AN, Arsenin VIAk, John F. Solutions of ill-posed problems: Winston Washington, DC; 1977.
    • [37] Hansen PC, O'Leary DP. The use of the L-curve in the regularization of discrete illposed problems. SIAM Journal on Scientific Computing. 1993;14:1487-503.
    • [38] Vaseghi SV. Advanced digital signal processing and noise reduction: John Wiley & Sons; 2008.
    • [39] Farhang-Boroujeny B. Adaptive filters: theory and applications: John Wiley & Sons; 2013.
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