Numerical Methods in Geotechnical Engineering 2014
DOI: 10.1201/b17017-44
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Finite element modelling of geotechnical structures subjected to moving loads

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Cited by 25 publications
(16 citation statements)
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“…1a) were modelled using nonlinear materials in which the nonlinearity was taken into account via an equivalent linear material in accordance with the approach described by Madshus and Kaynia (1999). The properties of all materials considered for this model are summarized in Table 1. In any dynamic analysis, the finite element size, model boundaries and time step have to be selected carefully to ensure the accuracy of results (Galavi and Brinkgreve, 2014). In general, the element size of the FE model was estimated based on the smallest wavelength that allows the high-frequency motion to be simulated correctly.…”
Section: Track Geometry and Materialsmentioning
confidence: 99%
See 1 more Smart Citation
“…1a) were modelled using nonlinear materials in which the nonlinearity was taken into account via an equivalent linear material in accordance with the approach described by Madshus and Kaynia (1999). The properties of all materials considered for this model are summarized in Table 1. In any dynamic analysis, the finite element size, model boundaries and time step have to be selected carefully to ensure the accuracy of results (Galavi and Brinkgreve, 2014). In general, the element size of the FE model was estimated based on the smallest wavelength that allows the high-frequency motion to be simulated correctly.…”
Section: Track Geometry and Materialsmentioning
confidence: 99%
“…In this fashion, a series of train wheels was considered to be moving along the track. During the simulation of moving loads, the time step was chosen based on the well-known Courant-Friedrichs-Lewy condition which is mathematically represented as follows (Galavi and Brinkgreve, 2014):…”
Section: Simulation Of Train Moving Loadsmentioning
confidence: 99%
“…While using ARIMA, the imposing restriction such as serious issues of endogeneity, heterogeneity and identification can be ignored with their consequences. Although it is sometimes difficult on empirical ground to make choice on appropriate modelling techniques to represent the real world situations, the performance of forecasting accuracy proven in past literature in such influential studies as (Lal, Jain, and Sinha, 1987;Carter & Narasimhan, 1996;Galavi & Brinkgreve, 2014) informed the adoption of Autoregressive Moving Average (ARMA) or Autoregressive Integrated Moving Average (ARIMA) for this study. This technique is based on Box-Jenkins timeseries procedure proposed by Bartholomew (1971) that combines Autoregressive (AR) and Moving Average (MA).…”
Section: Methodsmentioning
confidence: 99%
“…sleeper, ballast and subgrade) were characterized using 3D solid elements. A total of 133 sleepers were placed along the rail at spacing of 0.6 m. In the FE dynamic analyses, the finite element size, model boundaries and time step have to be selected carefully to ensure the accuracy of the results [17]. In general, the element size of the FE model is usually estimated based on the smallest wave-length that allows the high-frequency motion to be simulated correctly.…”
Section: Numerical Modelling Approachmentioning
confidence: 99%
“…In this fashion, a series of train wheels was considered to be moving along the track. During simulation of the train moving loads, the time step was selected based on the well-known Courant-Friedrichs-Lewy condition [17]. All FE analyses were performed in the time domain, which is more natural to reproduce the transient phenomenon of wave propagation [22].…”
Section: Numerical Modelling Approachmentioning
confidence: 99%