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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Aarhus University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023An empirical model for prediction of topsoil deformation in field traffic3citations
  • 2017A novel method for estimating soil precompression stress from uniaxial confined compression tests17citations
  • 2012In situ subsoil stress-strain behaviour in relation to soil precompression stress46citations

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Labouriau, Rodrigo
1 / 1 shared
Lamandé, Mathieu
2 / 6 shared
Arvidsson, J.
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Weisskopf, P.
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Stettler, M.
1 / 1 shared
Keller, T.
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2023
2017
2012

Co-Authors (by relevance)

  • Labouriau, Rodrigo
  • Lamandé, Mathieu
  • Arvidsson, J.
  • Weisskopf, P.
  • Stettler, M.
  • Keller, T.
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article

A novel method for estimating soil precompression stress from uniaxial confined compression tests

  • Labouriau, Rodrigo
  • Lamandé, Mathieu
  • Schjønning, Per
Abstract

<p>The concept of precompression stress is used for estimating soil strength that is relevant to field traffic. It represents the maximum stress experienced by the soil. The most recently developed fitting method to estimate precompression stress (Gompertz) is based on the assumption of an S-shaped stress-strain curve, which is not always fulfilled. A new simple numerical method was developed to estimate precompression stress from stress-strain curves, based solely on the sharp bend on the stress-strain curve partitioning the curve into an elastic and a plastic section. Our study had three objectives: (i) assessing the utility of the numerical method by comparison with the Gompertz method, (ii) comparing the estimated precompression stress to the maximum preload of test samples, and (iii) determining the influence that soil type, bulk density, and soil water potential have on the estimated precompression stress. Stress- strain curves were obtained by performing uniaxial confined compression tests (UCCTs) on undisturbed soil cores for three soil types at three soil water potentials. The new method performed better than the Gompertz fitting method for estimating precompression stress. The values of precompression stress obtained from the new method were linearly related to the maximum stress experienced by the soil samples prior to the UCCT at each soil condition, with a slope close to 1. Precompression stress determined via the new method was not related to soil type or dry bulk density. This might because the range for both parameters was too small but it may also emphasize the complex effect of soil structure on soil mechanical strength.</p>

Topics
  • density
  • impedance spectroscopy
  • polymer
  • strength
  • stress-strain curve
  • compression test