[논문]Structural displacement estimation through multi-rate fusion of accelerometer and RTK-GPS displacement and velocity measurements

Kim, Kiyoung; Choi, Jaemook; Chung, Junyeon; Koo, Gunhee; Bae, In-Hwan; Sohn, Hoon

doi:10.1016/j.measurement.2018.07.090

[해외논문] Structural displacement estimation through multi-rate fusion of accelerometer and RTK-GPS displacement and velocity measurements

Measurement : journal of the International Measurement Confederation, v.130, 2018년, pp.223 - 235

Kim, Kiyoung (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Republic of Korea) , Choi, Jaemook (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Republic of Korea) , Chung, Junyeon (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Republic of Korea) , Koo, Gunhee (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Republic of Korea) , Bae, In-Hwan (Structure Maintenance Team, New Airport Hiway, Co. Ltd., Incheon 41416, Republic of Korea) , Sohn, Hoon (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science & Technology, Daejeon 34141, Republic of Korea)

Abstract ▼ AI-Helper

For civil infrastructure monitoring, RTK-GPS sensors are commonly used to measure dynamic displacement. However, these sensors have poor precision (around 0.5-5 cm in the vertical direction) and a low sampling rate (up to 20 Hz). Furthermore, both the accuracy and the precision of the RTK-GPS sensors deteriorate when signals from satellites are not properly received by the sensors due to multipath, bad weather, signal blockage, etc. In this study, a new dynamic displacement estimation method is proposed so that the accuracy, precision, and sampling rate of dynamic displacement can be improved by combining the acceleration measured by a force-feedback accelerometer and the velocity and displacement measured by a low-cost RTK-GPS sensor. The uncertainty levels in the displacement and velocity measured by the RTK-GPS sensor are evaluated based on the quality of the received satellite signals, and the measurement from the RTK-GPS sensor is fused with the acceleration measured from the accelerometer using a two-stage Kalman filter. The performance of the proposed method is validated through a series of lab-scale tests and a field test conducted on Yeongjong Grand Bridge in South Korea. In the tests, the accuracy of the estimated vertical displacement was about 2 mm, and displacement, velocity, and acceleration are all simultaneously estimated at a sampling rate of 100 Hz. (C) 2018 Elsevier Ltd. All rights reserved.

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참고문헌 (54)

J. Bridge Eng. Wang 16 854 2011 10.1061/(ASCE)BE.1943-5592.0000172 Bridge rating using system reliability assessment. I: assessment and verification by load testing

상세보기
Earthquake Eng. Struct. Dyn. Dicleli 43 1285 2014 10.1002/eqe.2397 Evaluation of displacement coefficient method for seismically retrofitted buildings with various ductility capacities

상세보기
Earthquake Eng. Struct. Dyn. Ramirez 41 1477 2012 10.1002/eqe.2217 Significance of residual drifts in building earthquake loss estimation

상세보기
Bull. Earthq. Eng. Crowley 2 173 2004 10.1007/s10518-004-2290-8 A probabilistic displacement-based vulnerability assessment procedure for earthquake loss estimation

상세보기
Earthquake Eng. Struct. Dyn. Calvi 24 1247 1995 10.1002/eqe.4290240906 Displacement-based seismic design of multi-degree-of-freedom bridge structures

상세보기
Earthquake Eng. Struct. Dyn. Kowalsky 31 719 2002 10.1002/eqe.150 A displacement-based approach for the seismic design of continuous concrete bridges

상세보기
Struct. Health Monit. Adewuyi 8 443 2009 10.1177/1475921709340964 Assessment of vibration-based damage identification methods using displacement and distributed strain measurements

상세보기
Comput.-Aided Civ. Infrastruct. Eng. Lei 27 2 2012 10.1111/j.1467-8667.2010.00707.x A decentralized control algorithm for large-scale building structures

상세보기
M. Ruiz-Sandoval, E. Morales, Complete decentralized displacement control algorithm, in: 6th International Workshop on Structural Health Monitoring, Stanford California, 2007.
J. Sound Vib. Kim 332 4390 2013 10.1016/j.jsv.2013.03.006 Data-driven physical parameter estimation for lumped mass structures from a single point actuation test

상세보기
Smart Mater. Struct. Kim 22 2013 10.1088/0964-1726/22/8/085004 In situ measurement of structural mass, stiffness, and damping using a reaction force actuator and a laser Doppler vibrometer

상세보기
Comput.-Aided Civ. Infrastruct. Eng. Esposito 30 508 2015 10.1111/mice.12105 Simulation-based seismic risk assessment of gas distribution networks

상세보기
Comput.-Aided Civ. Infrastruct. Eng. He 24 416 2009 10.1111/j.1467-8667.2009.00600.x Failure mechanism of deformed concrete tunnels subject to diagonally concentrated loads

상세보기
Comput.-Aided Civ. Infrastruct. Eng. Jiang 20 316 2005 10.1111/j.1467-8667.2005.00399.x Dynamic wavelet neural network for nonlinear identification of highrise buildings

상세보기
Measurement Li 88 360 2016 10.1016/j.measurement.2015.12.009 Health monitoring of joint conditions in steel truss bridges with relative displacement sensors

상세보기
NDT E Int. Nassif 38 213 2005 10.1016/j.ndteint.2004.06.012 Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration

상세보기
Nucl. Instrum. Methods Phys. Res., Sect. A Tariq 489 570 2002 10.1016/S0168-9002(02)00802-1 The linear variable differential transformer (LVDT) position sensor for gravitational wave interferometer low-frequency controls

상세보기
Mech. Syst. Sig. Process. Gwashavanhu 76 174 2016 10.1016/j.ymssp.2016.02.019 Rotating blade vibration analysis using photogrammetry and tracking laser Doppler vibrometry

상세보기
RSV-150 Remote Sensing Vibrometer Datasheet, Polytech GmbH, 2014.
Compos. Sci. Technol. Park 100 10 2014 10.1016/j.compscitech.2014.05.029 Visualization of hidden delamination and debonding in composites through noncontact laser ultrasonic scanning

상세보기
Measurement Puente 46 2127 2013 10.1016/j.measurement.2013.03.006 Review of mobile mapping and surveying technologies

상세보기
Measurement Cabaleiro 76 20 2015 10.1016/j.measurement.2015.08.023 Algorithm for beam deformation modeling from LiDAR data

상세보기
Meas. Sci. Technol. Kim 26 2015 10.1088/0957-0233/26/4/045002 Dynamic displacement measurement of a vibratory object using a terrestrial laser scanner

상세보기
Procedia Eng. Kim 14 195 2011 10.1016/j.proeng.2011.07.023 Multi-point displacement response measurement of civil infrastructures using digital image processing

상세보기
Measurement Ye 88 372 2016 10.1016/j.measurement.2016.01.024 Vision-based structural displacement measurement: System performance evaluation and influence factor analysis

상세보기
Y. Xu, J. Brownjohn, D. Hester, K. Koo, Dynamic displacement measurement of a long span bridge using vision-based system, in: 8th European Workshop On Structural Health Monitoring (EWSHM 2016), 2016.
IEEE Trans. Image Process. Bertozzi 7 62 1998 10.1109/83.650851 GOLD: A parallel real-time stereo vision system for generic obstacle and lane detection

상세보기
Measurement Sun 85 100 2016 10.1016/j.measurement.2016.02.029 Non-contact optical sensing of asphalt mixture deformation using 3D stereo vision

상세보기
Measurement Park 59 352 2015 10.1016/j.measurement.2014.09.063 3D displacement measurement model for health monitoring of structures using a motion capture system

상세보기
Transp. Rev. Shen 34 316 2014 10.1080/01441647.2014.903530 Review of GPS travel survey and GPS data-processing methods

상세보기
Di Maio 265 2013 Landslide Science and Practice Surface and deep displacements evaluated by GPS and inclinometers in a clayey slope
Measurement Zhao 80 138 2016 10.1016/j.measurement.2015.11.008 Analysis of a robust Kalman filter in loosely coupled GPS/INS navigation system

상세보기
Amini 1023 2014 2014 IEEE Intelligent Vehicles Symposium Proceedings Improving GPS-based vehicle positioning for intelligent transportation systems
Measurement Zhou 58 87 2014 10.1016/j.measurement.2014.08.033 Time-space difference based GPS/SINS ultra-tight integrated navigation method

상세보기
Hofmann-Wellenhof 2012 Global Positioning System: Theory and Practice
D.M. Bevly, J.C. Gerdes, C. Wilson, Z. Gengsheng, The use of GPS based velocity measurements for improved vehicle state estimation, in: Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334), vol. 2534, 2000, pp. 2538-2542.
Measurement Torres-Guijarro 43 1355 2010 10.1016/j.measurement.2010.07.016 Mondaray-Zafrilla, A traffic radar verification system based on GPS-Doppler technology

상세보기
Measurement Elnabwy 46 4282 2013 10.1016/j.measurement.2013.08.014 Talkha steel highway bridge monitoring and movement identification using RTK-GPS technique

상세보기
Eng. Struct. Yu 81 432 2014 10.1016/j.engstruct.2014.10.010 Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing

상세보기
J. Appl. Geodesy Meng 8 265 2014 10.1515/jag-2014-0024 Optimal GPS/accelerometer integration algorithm for monitoring the vertical structural dynamics

상세보기
GPS Solutions Dai 18 417 2014 10.1007/s10291-013-0341-9 Multipath mitigation via component analysis methods for GPS dynamic deformation monitoring

상세보기
Mech. Syst. Sig. Process. Smyth 21 706 2007 10.1016/j.ymssp.2006.03.005 Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurements in dynamic system monitoring

상세보기
Mech. Syst. Sig. Process. Hong 38 460 2013 10.1016/j.ymssp.2013.02.007 Design of the FEM-FIR filter for displacement reconstruction using accelerations and displacements measured at different sampling rates

상세보기
Mech. Syst. Sig. Process. Kim 42 194 2014 10.1016/j.ymssp.2013.09.014 Autonomous dynamic displacement estimation from data fusion of acceleration and intermittent displacement measurements

상세보기
Mech. Syst. Sig. Process. Kim 2016 Dynamic displacement estimation by fusing LDV and LiDAR measurements via smoothing based Kalman filtering
Smart Struct. Syst. Kim 17 647 2016 10.12989/sss.2016.17.4.647 Dynamic displacement estimation by fusing biased high-sampling rate acceleration and low-sampling rate displacement measurements using two-stage Kalman estimator

상세보기
Proc. IEEE Widrow 63 1692 1975 10.1109/PROC.1975.10036 Adaptive noise cancelling: Principles and applications

상세보기
GlobalSIP Rajbhandary 1144 2013 Piecewise constant modeling and Kalman filter tracking of systematic market risk
IEEE Trans. Autom. Control Ignagni 26 746 1981 10.1109/TAC.1981.1102697 An alternate derivation and extension of Friendland's two-stage Kalman estimator

상세보기
UTCk 3.1, Korea Research Institute of Standards and Science, http://www.kriss.re.kr/standard/view.do?pg=standard_set_01, 2008.
Rahman 2015 Design and Implementation of Real Time Bi-directional Traffic Management Support System with GPS and WebSocket
Int. J. Steel Struct. Ding 11 145 2011 10.1007/s13296-011-2004-4 Temperature-induced variations of measured modal frequencies of steel box girder for a long-span suspension bridge

상세보기
Eng. Struct. Li 33 1894 2011 10.1016/j.engstruct.2011.02.017 Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements

상세보기
R. Brincker, P. Andersen, Ambient response analysis of the heritage court tower building structure, in: Proc. of the XVIII IMAC, San Antonio, Texas, 2000, pp. 1081-1094.

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