Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (8/8 displayed)

  • 2019An engineering model for the prediction of the sound radiation from a railway track27citations
  • 2019The noise radiated by ballasted and slab tracks22citations
  • 2017The influence of soil nonlinear properties on the track/ground vibration induced by trains running on soft ground69citations
  • 2016Polymer Nanocomposite Film with Metal Rich Surface Prepared by In Situ Single-Step Formation of Palladium Nanoparticles: An Interesting Way to Combine Specific Functional Properties4citations
  • 2015The effect of temperature on railway rolling noise27citations
  • 2008Experimental and theoretical analysis of railway bridge noise reduction using resilient rail fasteners in Burgdorf, Switzerland11citations
  • 2006The use of decay rates to analyse the performance of railway track in rolling noise generation72citations
  • 2000Rolling noise generated by railway wheels with visco-elastic layers66citations

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Quaranta, Erika
1 / 1 shared
Squicciarini, Giacomo
3 / 3 shared
Zhang, Xianying
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Jeong, Hongseok
1 / 1 shared
Zervos, Antonios
1 / 1 shared
Shih, J. Y.
1 / 1 shared
Kranbuehl, David E.
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Espuche, Eliane
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Toward, Martin
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Cottrell, Rebecca
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Jones, C. J. C.
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Köstli, K. P.
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Diehl, R. J.
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Co-Authors (by relevance)

  • Quaranta, Erika
  • Squicciarini, Giacomo
  • Zhang, Xianying
  • Jeong, Hongseok
  • Zervos, Antonios
  • Shih, J. Y.
  • Kranbuehl, David E.
  • Espuche, Eliane
  • Toward, Martin
  • Cottrell, Rebecca
  • Jones, C. J. C.
  • Köstli, K. P.
  • Diehl, R. J.
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article

The influence of soil nonlinear properties on the track/ground vibration induced by trains running on soft ground

  • Zervos, Antonios
  • Thompson, David
  • Shih, J. Y.
Abstract

The deflections of the track under a moving train depend on the stiffness of the underlying soil as well as the properties of the track and the train. In many situations, small-strain linear properties can be assumed for the soil. However, particularly for soft soil, as the load speed approaches the speed of Rayleigh waves in the ground, the deflections increase considerably. In such situations the use of the small-strain soil stiffness may lead to inaccuracies in the estimates of track deflections or of the critical speed. A finite element model of the track and ground has been developed to study the deflections induced by trains running on soft ground. Soil nonlinearity is introduced through a user-defined subroutine. The nonlinearity is specified in terms of the shear modulus reduction as a function of octahedral shear strain, which can be based on data obtained from laboratory tests on soil samples. The model is applied to the soft soil site at Ledsgård in Sweden, from which extensive measurements are available from the late 1990s. It is shown that the use of a linear model based on the small-strain soil parameters leads to an underestimation of the track displacements when the train speed approaches the critical speed, whereas the nonlinear model gives improved agreement with measurements. In addition, an equivalent linear model is considered, in which the equivalent soil modulus is derived from the laboratory curve of shear modulus reduction using an ‘effective’ shear strain. For this approach it is shown that the predictions in this specific case are improved by using a value of 20% of the maximum strain as the effective strain rather than the value of 65% commonly used in earthquake studies.

Topics
  • impedance spectroscopy