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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Materials Map under construction

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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Université Gustave Eiffel

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2022Bio-based emulsifiers for pavement material: emulsion formulation and cold asphalt mix properties1citations
  • 2020Outcomes from RILEM TC 237-SIB TG1 on the affinity between aggregates and bituminous binderscitations
  • 2020Fraction Factorial Design of a Novel Semi-Transparent Layer for Applications on Solar Roads18citations
  • 2019Viscoelastic characterisation of transparent binders for application on solar roads17citations
  • 2018Bituminous Binder2citations
  • 2018Bituminous binder2citations
  • 2015Molecular weight distribution of asphaltic paving binders from phase-angle measurements37citations
  • 2013Differential scanning calorimetry applied to Bitumen: results of the RILEM NBM TG1 round robin test15citations
  • 2011A comparative study of the influence of shift factor equations on master curve constructioncitations
  • 2011Long-term mechanical behavior of aramid fibers in sea watercitations
  • 2011Long-term mechanical behavior of aramid fibers in sea watercitations
  • 2009Experimental and numerical analysis of crack initiation and growth in thincitations

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Chart of shared publication
Petiteau, Cédric
1 / 1 shared
Capron, Isabelle
1 / 10 shared
Lévenard, Fanny
1 / 1 shared
Gaudefroy, Vincent
3 / 8 shared
Bujoli, Bruno
1 / 6 shared
Apeagyei, Alex
3 / 3 shared
Soenen, Hilde
4 / 14 shared
Porot, Laurent
3 / 14 shared
Grenfell, James
4 / 8 shared
Vansteenkiste, Stefan
3 / 4 shared
Lavaud, Stéphane
2 / 2 shared
Vizzari, Domenico
2 / 2 shared
Bouron, Stéphane
1 / 4 shared
Gennesseaux, Eric
2 / 7 shared
Vignard, Nadège
1 / 1 shared
Hauser, Elisabeth
2 / 2 shared
Canestrari, Francesco
2 / 4 shared
Chaturabong, Preeda
2 / 2 shared
Wistuba, Michael
2 / 2 shared
Besamusca, Jeroen
3 / 5 shared
Artamendi, Ignacio
2 / 4 shared
Sybilski, Darius
2 / 2 shared
Partl, Manfred
1 / 1 shared
Tozzo, Cristina
2 / 2 shared
Safwat, Said
2 / 2 shared
Martinez, Francisco Barcelo
1 / 1 shared
Barcelo Martinez, Francisco
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Partl, Manfred N.
1 / 26 shared
Migault, Bernard
1 / 1 shared
Chazallon, Cyrille
1 / 20 shared
Farcas, Fabienne
1 / 9 shared
Themeli, Andréa
1 / 1 shared
Poulikakos, Lily D.
1 / 15 shared
Kringos, Niki
1 / 1 shared
Das, Prabir
1 / 2 shared
Planche, Jean-Pascal
1 / 1 shared
Airey, Gordon D.
1 / 2 shared
Yusoff, Nur Izzi Md
1 / 2 shared
Lacotte, Nicolas
2 / 2 shared
Davies, P.
2 / 12 shared
Riou, L.
2 / 2 shared
Vouyovitch Van Schoors, Laetitia
1 / 1 shared
Forest, B.
2 / 3 shared
Derombise, Guillaume
2 / 3 shared
Schoors, Laetitia Vouyovitch Van
1 / 1 shared
Hammoum, Ferhat
1 / 13 shared
Bodin, Didier
1 / 4 shared
Ehrlacher, Alain
1 / 18 shared
Nguyen, Hoai-Nam
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Piau, Jean-Michel
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Chart of publication period
2022
2020
2019
2018
2015
2013
2011
2009

Co-Authors (by relevance)

  • Petiteau, Cédric
  • Capron, Isabelle
  • Lévenard, Fanny
  • Gaudefroy, Vincent
  • Bujoli, Bruno
  • Apeagyei, Alex
  • Soenen, Hilde
  • Porot, Laurent
  • Grenfell, James
  • Vansteenkiste, Stefan
  • Lavaud, Stéphane
  • Vizzari, Domenico
  • Bouron, Stéphane
  • Gennesseaux, Eric
  • Vignard, Nadège
  • Hauser, Elisabeth
  • Canestrari, Francesco
  • Chaturabong, Preeda
  • Wistuba, Michael
  • Besamusca, Jeroen
  • Artamendi, Ignacio
  • Sybilski, Darius
  • Partl, Manfred
  • Tozzo, Cristina
  • Safwat, Said
  • Martinez, Francisco Barcelo
  • Barcelo Martinez, Francisco
  • Partl, Manfred N.
  • Migault, Bernard
  • Chazallon, Cyrille
  • Farcas, Fabienne
  • Themeli, Andréa
  • Poulikakos, Lily D.
  • Kringos, Niki
  • Das, Prabir
  • Planche, Jean-Pascal
  • Airey, Gordon D.
  • Yusoff, Nur Izzi Md
  • Lacotte, Nicolas
  • Davies, P.
  • Riou, L.
  • Vouyovitch Van Schoors, Laetitia
  • Forest, B.
  • Derombise, Guillaume
  • Schoors, Laetitia Vouyovitch Van
  • Hammoum, Ferhat
  • Bodin, Didier
  • Ehrlacher, Alain
  • Nguyen, Hoai-Nam
  • Piau, Jean-Michel
OrganizationsLocationPeople

article

A comparative study of the influence of shift factor equations on master curve construction

  • Airey, Gordon D.
  • Yusoff, Nur Izzi Md
  • Chailleux, Emmanuel
Abstract

This paper evaluates the applicability of different shifting techniques for constructing complex modulus master curves using the time-temperature superposition principle (TTSP). A database of complex modulus results of unmodified bitumens, polymer modified bitumens (PMBs), bitumen-filler mastics, unaged and aged bitumens was used together with a Generalized Logistic Sigmoidal Model to assess the validity of seven different shifting approaches. Except for the Laboratoire Central des Ponts et Chaussées (LCPC) method, the construction of master curves was done using the Generalised Logistic Sigmoidal Model and non-linear least squares regression optimization with the aid of the Microsoft Excel Spreadsheet Solver function. The goodness-of-fit for the various shifting techniques and functions was assessed through graphical and statistical methods. From the study, it was found that a numerical shift approach using non-linear least squares produced the best fit between experimental and predicted data in terms of both graphical and goodness-of-fit statistics. The ranking of the other shifting techniques consisted of the LCPC approach, followed by the William, Landel and Ferry (WLF), Modified Kaelble, Viscosity Temperature Susceptibility (VTS), Arrhenius and Log-Linear methods. However, most of theequations are basically empirical and they are not expected to be strictly obeyed by any materials. Discrepancies were still evident, evenfor the better functions, for those materials that demonstrated a deviation from the thermorheological simplicity of the rheological behaviour as found for highly structured bitumens following high degrees of polymer modification and/or oxidative ageing.

Topics
  • polymer
  • viscosity
  • aging
  • susceptibility
  • complex modulus