2014
DOI: 10.1080/15732479.2014.970203
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Under sleeper pads in transition zones at railway underpasses: numerical modelling and experimental validation

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Cited by 53 publications
(40 citation statements)
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“…To better understand the dynamic behaviour of the train-track system at the transition zone, we used a recent 2D FEM approach [13,21] that allowed to: (i) consider the relevant track components, the backfill layers, the abutment and the bridge; (ii) account for the dynamic train-track interaction using contact elements; (iii) make use of an innovative calibration procedure, as briefly explained in Section 4.2. Moreover, it uses less computational resources than full 3D models and yet accurately predicts the measurements performed in situ.…”
Section: Numerical Modellingmentioning
confidence: 99%
“…To better understand the dynamic behaviour of the train-track system at the transition zone, we used a recent 2D FEM approach [13,21] that allowed to: (i) consider the relevant track components, the backfill layers, the abutment and the bridge; (ii) account for the dynamic train-track interaction using contact elements; (iii) make use of an innovative calibration procedure, as briefly explained in Section 4.2. Moreover, it uses less computational resources than full 3D models and yet accurately predicts the measurements performed in situ.…”
Section: Numerical Modellingmentioning
confidence: 99%
“…Despite the fact that the responses of unbound granular materials such as ballast, subballast, and subgrade can be more accurately modelled using nonlinear constitutive models, simplifications have to be adopted in the large-scale study (e.g., transition zones) to reduce the computational expense. Many studies (e.g., [10,[48][49][50][51][52][53]) have proved that some behaviour of ballast and hanging sleepers can be modelled accurately using simplified methods (e.g., solid elements with elastic material properties). Following [10,[48][49][50][51][52][53], the ballast and subgrade in this model are also modelled by solid elements with elastic material properties.…”
Section: Introduction Of the Finite Element Modelmentioning
confidence: 99%
“…Primary and secondary suspensions are modelled by spring-damper elements. The parameters are suggested by literature (vehicle parameters by [11,54,55], track parameter by [10,49,54,56]), and are then tuned according to field measurements [35]. The axle load of the vehicle is 19.0 t and velocity is 144 km/h.…”
Section: Introduction Of the Finite Element Modelmentioning
confidence: 99%
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“…The numerical model had been thoroughly calibrated and validated with field measurements in the Alcácer bypass [41,42]. The study considered the Alfa Pendular passenger trains running at 220 km/ h in the FEM analyses in numerous scenarios covering a range of track defect amplitudes up to 23.5 mm and lengths of the defects up to 35 m (Fig.…”
Section: Numerical Simulations Of the Influence Of Longitudinal Defecmentioning
confidence: 99%