Dynamic analysis of train-bridge system and riding comfort of trains with rail irregularities

Khadri, Youcef; Tekili, Sabiha; Mostafa, Daya El; Daouadji, Ali; Bachir, Merzoug

doi:10.1007/s12206-013-0206-8

Cited by 57 publications

(31 citation statements)

References 29 publications

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“…(Kargarnovin et al, 2005). The traveling speed of the train can also magnify the amplitude of the vibrations the faster the train goes (Esveld and Kok, 1998;Youcef et al, 2013). Further sections will briefly discuss how different types of track might affect ride comfort.…”

Section: Mechanical Causes Of Ride Discomfortmentioning

confidence: 99%

“…Kargarnovin et al (2005) show that in the train-track-bridge interaction, the wheel-track roughness is the dominant factor causing ride discomfort when crossing a rail bridge. However, according to data obtained from experiments, the wheel-track roughness becomes less dominant compared to the train-bridge interaction as the speed of the train crossing the bridge increases (Kargarnovin et al, 2005;Youcef et al, 2013). This means that when traveling at low speeds the impact on ride comfort from the bridge itself is quite low, rather the condition of the track has the largest impact on ride comfort.…”

Section: Rail Bridgesmentioning

confidence: 99%

“…Motions induced by the train unto the bridge can cause discomfort among passengers in the form of vertical and rotational acceleration (roll) (Youcef et al, 2013). The sudden change in the stiffness of the track when the train crosses the bridge can cause jerk and other vibrations detrimental to ride comfort (Youcef et al, 2013;Kaewunruen, 2014a).…”

Section: Rail Bridgesmentioning

confidence: 99%

“…The sudden change in the stiffness of the track when the train crosses the bridge can cause jerk and other vibrations detrimental to ride comfort (Youcef et al, 2013;Kaewunruen, 2014a). Kaewunruen (2014a) and Kargarnovin et al (2005) indicate that enhancing the stiffness of the ballast near bridge ends slightly improves the ride comfort in those zones.…”

Section: Rail Bridgesmentioning

confidence: 99%

“…Kaewunruen (2014a) and Kargarnovin et al (2005) indicate that enhancing the stiffness of the ballast near bridge ends slightly improves the ride comfort in those zones. The motions of the train passing over the bridge can also cause excitation of the bridge, which in turn also has an effect on the ride comfort of the passengers (Youcef et al, 2013).…”

Section: Rail Bridgesmentioning

confidence: 99%

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RideComfort: A Development of Crowdsourcing Smartphones in Measuring Train Ride Quality

Azzoug

Kaewunruen

2017

Front. Built Environ.

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Among the many million train journeys taking place every day, not all of them are being measured or monitored for ride comfort. Improving ride comfort is important for railway companies to attract more passengers to their train services. Giving passengers the ability to measure ride comfort themselves using their smartphones allows railway companies to receive instant feedback from passengers regarding the ride quality on their trains. The purpose of this development is to investigate the feasibility of using smartphones to measure vibration-based ride comfort on trains. This can be accomplished by developing a smartphone application, analyzing the data recorded by the application, and verifying the data by comparing it to data from a track inspection vehicle or an accelerometer. A literature review was undertaken to examine the commonly used standards to evaluate ride comfort, such as the BS ISO 2631-1:1997 standard and Sperling's ride index as proposed by Sperling and Betzhold (1956). The literature review has also revealed some physical causes of ride discomfort such as vibrations induced by roughness and irregularities present at the wheel/rail interface. We are the first to use artificial neural networks to map data derived from smartphones in order to evaluate ride quality. Our work demonstrates the merits of using smartphones to measure ride comfort aboard trains and suggests recommendations for future technological improvement. Our data argue that the accelerometers found in modern smartphones are of sufficient quality to be used in evaluating ride comfort. The ride comfort levels predicted both by BS ISO 2631-1 and Sperling's index exhibit excellent agreement.

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Section: Mechanical Causes Of Ride Discomfortmentioning

confidence: 99%