Geodetic Measurement of Longitudinal Displacements of the Railway Bridge

Braun, Jaroslav; Štroner, Martin

doi:10.14311/gi.12.3

Cited by 8 publications

(7 citation statements)

References 1 publication

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“…The uniformly distributed loads have also been chosen due to the entire external surface of the railway bridge being penetrated by thermal radiation. The critical review [26][27][28][29][30][31][32][33] has…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Numerical investigation into thermal load responses of railway transom bridge

Mirza

Kaewunruen

Dinh

et al. 2016

Engineering Failure Analysis

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Australian railway networks suffer a large fluctuation of extreme heats each year due to their wide variety of geographical conditions. Depending on climatic, cloud and radiation conditions, an ambient temperature of 20C could induce an equivalent thermal load absorption of track components as much as 30C to 35C or even more. As such, relatively high turnover of timber sleepers (crossties in a plain track), bearers (skeleton ties in a turnout), and transoms (bridge cross beams) can often be observed due to their unstable deformation and rapid deterioration. This paper investigates an application for the replacement of aging timber transoms mounted on existing railway bridges using fiber reinforced foamed urethane (FFU) transom beams, which are proven to provide environmental, safety and financial benefits. Clear benefits of the FFU material are the maintainability and constructability, especially for existing railway bridges. In this study, numerical simulations using finite element package ABAQUS have been carried out to illustrate the effect of thermal loads on the structural behavior of a railway transom bridge. The model was developed using a case study of an actual railway bridge in Kiama, Australia and it has been validated by field data measurements. It is found that nonlinear structural behavior of the bridge components exists at highly elevated temperatures. The better insight into the thermal load responses will lead to safer and more reliable rail stress adjustment practice, preventing rail misalignment or buckling.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Numerical investigation into thermal load responses of railway transom bridge

Mirza

Kaewunruen

Dinh

et al. 2016

Engineering Failure Analysis

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“…Because of these facts, geodetic measurements are integral parts of engineering structures' diagnosis [1,3].…”

Section: Deformation Monitoringmentioning

confidence: 99%

Automated point clouds processing for deformation monitoring

Erdélyi

2015

Geoinformatics FCE CTU

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The Terrestrial Laser ScanningThe technology of Terrestrial Laser Scanning (TLS) is a non-selective method of spatial data acquisition. TLS determines the 3D coordinates of the measured points on the surface of the measured object in a grid, which is defined by regular angular spacing in the horizontal and vertical directions [8]. The result of TLS is an irregular raster of measured points, the so-called point cloud, which documents the measured object (Fig. 1). The difference between TLS and conventional surveying methods is that the coordinates of characteristic points are obtained by modelling, respectively by generalization of the main elements of 3D models or the resulting point cloud [9].Most of the current TLS works on the principle of spatial polar method. The spatial position of measured points are calculated from the measured horizontal and vertical angles and from the measured slope distance (Fig. 2 left).The optimal source of radiation of electromagnetic waves for scanning systems are lasers. These are used for contactless measuring of distances. Laser beams are highly monochromatic

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“…The geospatial monitoring of transport infrastructure is the subject of many studies. Numerous studies have investigated the problem of bridge monitoring using GNSS [1][2][3][4][5][6], close-range photogrammetry [7][8][9], terrestrial laser scanning [10][11][12][13], total stations [14][15][16][17], sensors [18][19][20], and sensors and geodetic equipment combinations [21][22][23][24][25]; one may conclude that the problem of bridge monitoring has been extensively researched in recent decades. However, the majority of work in this area has focused on data collection rather than analysis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning

Shults,

Bilous,

Ormambekova

et al. 2023

Urban Science

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Modern cities are full of complex and substantial engineering structures that differ by their geometry, sizes, operating conditions, and technologies used in their construction. During the engineering structures’ life cycle, they experience the effects of construction, environmental, and functional loads. Among those structures are bridges and road overpasses. The primary reason for these structures’ displacements is land subsidence. The paper addresses a particular case of geospatial monitoring of a road overpass that is affected by external loads invoked by the construction of a new subway line. The study examines the methods of machine learning data analysis and prediction for geospatial monitoring data. The monitoring data were gathered in automatic mode using a robotic total station with a frequency of 30 min, and were averaged daily. Regression analysis and neural network regression with machine learning have been tested on geospatial monitoring data. Apart from the determined spatial displacements, additional parameters were used. These parameters were the position of the tunnel boring machines, precipitation level, temperature variation, and subsidence coefficient. The primary output of the study is a set of prediction models for displacements of the overpass, and the developed recommendations for correctly choosing the prediction model and a set of parameters and hyperparameters. The suggested models and recommendations should be considered an indispensable part of geotechnical monitoring for modern cities.

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Geodetic Measurement of Longitudinal Displacements of the Railway Bridge

Abstract: Abstract

Cited by 8 publications

References 1 publication

Numerical investigation into thermal load responses of railway transom bridge

Numerical investigation into thermal load responses of railway transom bridge

Automated point clouds processing for deformation monitoring

Analysis of Overpass Displacements Due to Subway Construction Land Subsidence Using Machine Learning

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