Experimental Dynamic Impact Factor Assessment of Railway Bridges through a Radar Interferometer

Pieraccini, Massimiliano; Miccinesi, Lapo; Nejad, Ali Abdorazzagh; Fard, Azadeh Naderi Nejad

doi:10.3390/rs11192207

Cited by 18 publications

(12 citation statements)

References 28 publications

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“…The development of noncontact measurement techniques has attracted intensive attentions over past decades, such as microwave radar, terrestrial laser scanning, and optical camera. For example, Gentile (2010) developed a noncontact microwave interferometer for deformation measurement of two cable‐stayed bridges; Pieraccini, Miccinesi, Abdorazzagh Nejad, and Naderi Nejad Fard (2019) employed a radar interferometer for dynamic displacement measurement and impact factor calculation of railway bridges. H.S.…”

Section: Introductionmentioning

confidence: 99%

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

Tian

Zhang

Jiang

et al. 2020

Computer aided Civil Eng

119

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Cables and hangers are critical components of long-span bridges, tension forces of them are needed to be accurately measured for ensuring the safety of bridges. Traditionally, cable tension forces are measured by attached accelerometers or elastomagnetic (EM) sensors, however, applying these sensors into engineering practice are time-consuming, labor-intensive, and highly dangerous. To address these problems, an unmanned aerial vehicle (UAV)-based noncontact cable force estimation method with computer vision technologies was proposed in this article. Basic concept of the proposed method is to use the UAV-installed camera for capturing vibration images of cables from a certain distance and cable dynamic properties are extracted by analyzing captured images. It includes two aspects: (a) a line segments detector (LSD) was employed for detecting cable edges from captured video and a line matching algorithm was further proposed for extracting dynamic displacements; (b) the frequency differ-Frequency Difference/ Hz Cable Force / kN F I G U R E 14 Results of the studied suspension bridge: (a) Fourier spectrum by the proposed method; (b) Fourier spectrum by using attached accelerometer; (c) frequency difference; and (d) cable force How to cite this article: Tian Y, Zhang C, Jiang S, Zhang J, Duan W. Noncontact cable force estimation with unmanned aerial vehicle and computer vision.

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Section: Introductionmentioning

confidence: 99%

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

Tian

Zhang

Jiang

et al. 2020

Computer aided Civil Eng

119

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“…Interferometric radar seems to also be a very good tool for remote measurements of displacements [19][20][21][22][23][24][25][26][27]. Interferometric radar has high accuracy when measuring displacement in the direction of its target axis.…”

Section: Introductionmentioning

confidence: 99%

The Integration of Two Interferometric Radars for Measuring Dynamic Displacement of Bridges

Olaszek

Świercz

Boscagli³

2021

Remote Sensing

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Measurements of displacements of bridges under dynamic load are particularly difficult in the case of structures where access to the area under the tested structure is impossible. Then, remote measurement methods are preferred, such as interferometric radar. Interferometric radar has high accuracy when measuring displacement in the direction of its target axis. The problems appear when a bridge vibrates in two directions: horizontal (lateral or longitudinal) and vertical. The use of one radar to measure those vibrations may be impossible. This paper presents the application of a set of two interferometric radars to measure vertical vibration and horizontal longitudinal vibration with high accuracy. The method was positively verified by experimental tests on two railway bridges characterized by different levels of horizontal displacement. The accuracy of the radar measurements was tested by the direct measurement of vertical displacements using inductive gauges. In conclusion, in the case of vertical displacement measurements using one interferometric radar, the influence of horizontal displacements should be excluded. In the case of locating radars at the area of bridge supports, it is necessary to either use a set of two radars or first investigate the magnitude of possible horizontal displacements in relation to vertical displacements.

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“…Mohseni et al [29] conducted an extensive numerical study to evaluate the influence of some key parameters on the dynamic impact factors for skew composite concrete-steel slab-on-girder bridges and proposed that apart from AASHTO [30] bridge design specification, all the current design specifications for considering IM are un-conservative. Pieraccini et al [31] performed an experimental study to assess the IM of a railway bridge using the interferometric radar sensor. Gao et al [32] investigated numerically the dynamic load allowance characteristics of a concrete-filled steel tube (CFST) arch bridge and some conclusions are drawn for evaluating the condition of CFST arch bridges.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Impact Factor Determination of an Existing Pre-stressed Concrete I-Girder Bridge Using Vehicle-Bridge Interaction Modelling

Adhikary¹,

Rana²,

Tasnim³

et al. 2021

J. Civ. Eng. Constr.

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The dynamic Impact Factor (IM) of a bridge is influenced by many factors, including Vehicle-Bridge Interaction (VBI), vehicle speed and road roughness. This paper represents the dynamic effects of moving vehicles and the determination of IM of an existing Pre-stressed concrete I-girder bridge utilizing VBI modeling. Evaluation of the IM is expected to provide valuable information for condition assessment and management of the existing bridge. The interaction problem between the vehicle and the bridge includes a dynamic model for the bridge structure subsystem, a dynamic model for the vehicle subsystem, interaction constraints, road roughness modelling and numerical solution techniques for the dynamic systems. The Half-car model is utilized for modelling of the vehicle dynamics and the bridge dynamic model is idealized according to Finite Element Method (FEM). Then FEM along with the mode superposition method are utilized for determining the Equation of Motion (EOM) for the bridge subsystem. D’Alembert’s principle is used for developing EOM for the vehicle subsystem. The interaction between vehicle vibration and bridge vibration is established through the contact forces between the wheels and the bridge by employing the compatibility relationship between the contact points and by applying the static equilibrium condition. Lastly, Newmark’s-β method is used for solving the coupled mathematical model of the vehicle and bridge interaction problem to determine the responses of the two sub-systems. The whole procedure is then performed for different vehicle speeds and various bridge deck surface roughness conditions to determine the dynamic impact on the existing I-girder bridge named Teesta Bridge located in Bangladesh.

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Experimental Dynamic Impact Factor Assessment of Railway Bridges through a Radar Interferometer

Cited by 18 publications

References 28 publications

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

Noncontact cable force estimation with unmanned aerial vehicle and computer vision

The Integration of Two Interferometric Radars for Measuring Dynamic Displacement of Bridges

Dynamic Impact Factor Determination of an Existing Pre-stressed Concrete I-Girder Bridge Using Vehicle-Bridge Interaction Modelling

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