Accurate vision-based displacement and vibration analysis of bridge structures by means of an image-assisted total station

Omidalizarandi, Mohammad; Kargoll, Boris; Paffenholz, Jens‐André; Neumann, Ingo

doi:10.1177/1687814018780052

Cited by 23 publications

(15 citation statements)

References 24 publications

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“…The magnitude of the standard deviations of and is ± 0.3 mm using the method proposed by 17 – 19 . The standard deviations of zenith angles and distance of robotic total station are up to 0.5 arcsec and 1 mm + 1 ppm respectively.…”

Section: Methods Of River-crossing Levellingmentioning

confidence: 99%

“…And the common trigonometric levelling method is hard to apply in river-crossing levelling. Some researchers mount an external camera on the eyepiece of the total station for optical automatic target recognition 12 and usefully in bridge vibration monitoring 13 – 16 . Fortunately, several types of total stations have a built-in coaxial camera such as Leica TM50 I and MS50, and these total stations can take images and store images on their memory or SD card.…”

Section: Introductionmentioning

confidence: 99%

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Precise levelling in crossing river over 5 km using total station and GNSS

Yang

Zou

2021

Sci Rep

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The trigonometric levelling using the simultaneous reciprocal method has been proved to meet the precision of second order levelling. But this method is invalid once the distance of river crossing is beyond 3.5 km due to the difficulty of target recognition at such a long distance. To expand the available range of this method, this paper focuses on solving the target aiming and distance observation over a long distance. A modular LED 5-prism (modified Leica GPR1 reflector) as an illuminated target instead of the common prism is introduced, and we adopt the sub-pixel image processing technique to recognize the center of the target image pictured by image assisted total station (Leica Nova TM50 I equipped with a coaxial camera). Based on the principle of precise trigonometric levelling, this paper utilizes two image assisted total stations using image processing technique to perform simultaneous reciprocal for zenith angle measurement and GNSS static measurement for slope distance measurement to determine the height difference of either river bank. And long-distance precise river-crossing levelling can be realized based on the mentioned above. Besides, it is successful to apply in the experiment of Fuzhou Bridge spanning 6.3 km in China. The result shows the standard deviation is ± 0.76 mm/km that is compatible with the precision of second order levelling has.

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Section: Methods Of River-crossing Levellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Precise levelling in crossing river over 5 km using total station and GNSS

Yang

Zou

2021

Sci Rep

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“…Ehrhart and Lienhart (2015b) and Lienhart et al (2017) were carried out vibration analysis of a footbridge structure using an IATS of type Leica MS50 with a sampling frequency of 10 Hz, an RTS of type Leica TS15 with a sampling frequency of 20 Hz and an accelerometer of type HBM B12/200 with a sampling frequency of 200 Hz based on measurements of the circular target markings and structural features such as bolts of the bridge structure. Omidalizarandi et al (2018) used an IATS of type Leica MS50 with sampling frequency of 10 Hz for displacement and vibration analysis of a footbridge structure. Schill and Eichhorn (2019) employed a phase-based profile scanner of type Zoller+Fröhlich Profiler 9012 with a sampling frequency of 50 Hz for deformation monitoring of the bridge structures.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For more information regarding the calibration procedure of the vertical angular conversion factor, please refer to cf. Ehrhart and Lienhart (2015a) or Omidalizarandi et al (2018). It should be noted that merely 1D displacement time series has been generated using the aforementioned video frames due to availability of only one IATS at time of the measurements, which subsequently allows to perform just 1D CUPT in this study.…”

Section: Sensor Specifications Measurement Set-up and Data Acquisitionmentioning

confidence: 99%

Mems Based Bridge Monitoring Supported by Image-Assisted Total Station

Omidalizarandi

Neumann

Kemkes³

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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In this study, the feasibility of Micro-Electro-Mechanical System (MEMS) accelerometers and an image-assisted total station (IATS) for short-and long-term deformation monitoring of bridge structures is investigated. The MEMS sensors of type BNO055 from Bosch as part of a geo-sensor network are mounted at different positions of the bridge structure. In order to degrade the impact of systematic errors on the acceleration measurements, the deterministic calibration parameters are determined for fixed positions using a KUKA youBot in a climate chamber over certain temperature ranges. The measured acceleration data, with a sampling frequency of 100 Hz, yields accurate estimates of the modal parameters over short time intervals but suffer from accuracy degradation for absolute position estimates with time. To overcome this problem, video frames of a passive target, attached in the vicinity of one of the MEMS sensors, are captured from an embedded on-axis telescope camera of the IATS of type Leica Nova MS50 MultiStation with a practical sampling frequency of 10 Hz. To identify the modal parameters such as eigenfrequencies and modal damping for both acceleration and displacement time series, a damped harmonic oscillation model is employed together with an autoregressive (AR) model of coloured measurement noise. The AR model is solved by means of a generalized expectation maximization (GEM) algorithm. Subsequently, the estimated model parameters from the IATS are used for coordinate updates of the MEMS sensor within a Kalman filter approach. The experiment was performed for a synthetic bridge and the analysis shows an accuracy level of sub-millimetre for amplitudes and much better than 0.1 Hz for the frequencies.

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“…To overcome these problems, some scholars have proposed SHM methods using image-based measurement techniques [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. Image-based measurement methods have been widely used in various experimental mechanics studies.…”

Section: Introductionmentioning

confidence: 99%

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Liu²,

Chung³

et al. 2020

Sensors

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In this study, infrared thermography is used for vibration-based structural health monitoring (SHM). Heat sources are employed as sensors. An acrylic frame structure was experimentally investigated using the heat sources as structural marker points to record the vibration response. The effectiveness of the infrared thermography measurement system was verified by comparing the results obtained using an infrared thermal imager with those obtained using accelerometers. The average error in natural frequency was between only 0.64% and 3.84%. To guarantee the applicability of the system, this study employed the mode shape curvature method to locate damage on a structure under harsh environments, for instance, in dark, hindered, and hazy conditions. Moreover, we propose the mode shape recombination method (MSRM) to realize large-scale structural measurement. The partial mode shapes of the 3D frame structure are combined using the MSRM to obtain the entire mode shape with a satisfactory model assurance criterion. Experimental results confirmed the feasibility of using heat sources as sensors and indicated that the proposed methods are suitable for overcoming the numerous inherent limitations associated with SHM in harsh or remote environments as well as the limitations associated with the SHM of large-scale structures.

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Accurate vision-based displacement and vibration analysis of bridge structures by means of an image-assisted total station

Cited by 23 publications

References 24 publications

Precise levelling in crossing river over 5 km using total station and GNSS

Precise levelling in crossing river over 5 km using total station and GNSS

Mems Based Bridge Monitoring Supported by Image-Assisted Total Station

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

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