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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (24/24 displayed)

  • 2024Report of RILEM TC 281-CCC: a critical review of the standardised testing methods to determine carbonation resistance of concrete8citations
  • 2024Sustainability Potential of Additive Manufactured Concrete Structures – Studies on the Life Cycle Assessment and Circularity of an Extruded Exterior Wall2citations
  • 2024Report of RILEM TC 281-CCC: A critical review of the standardised testing methods to determine carbonation resistance of concrete8citations
  • 2024Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches5citations
  • 2024Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches5citations
  • 2024Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches5citations
  • 2024Report of RILEM TC 281-CCC: Insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approachescitations
  • 2023Einfluss von CO2-Druck und Feuchtegehalt auf das Porengefüge von zementgebundenen Materialien während der Carbonatisierung ; Effect of pressure and humidity on carbonation of cementitious materialscitations
  • 2023Can a hand-held 3D scanner capture temperature-induced strain of mortar samples : comparison between experimental measurements and numerical simulationscitations
  • 2022Report of RILEM TC 281-CCC: outcomes of a round robin on the resistance to accelerated carbonation of Portland, Portland-fly ash and blast-furnace blended cements21citations
  • 2022Report of RILEM TC 281-CCC: outcomes of a round robin on the resistance to accelerated carbonation of Portland, Portland-fly ash and blast-furnace blended cements21citations
  • 2022Report of RILEM TC 281-CCC21citations
  • 2022Report of RILEM TC 281-CCC : outcomes of a round robin on the resistance to accelerated carbonation of Portland, Portland-fly ash and blast-furnace blended cements21citations
  • 2021CarboDB-Open Access Database for Concrete Carbonation1citations
  • 2021Correction to: Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC16citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by RILEM TC 281-CCC286citations
  • 2020Natural and accelerated carbonation behaviour of high-volume fly ash (HVFA) mortar: Effects on internal moisture, microstructure and carbonated phase proportioning20citations
  • 2020Understanding the carbonation of concrete with supplementary cementitious materials286citations
  • 2019On the determination of carbonation in cementitious materialscitations
  • 2018Wick action in mature mortars with binary cements containing slag or silica fume – The relation between chloride and moisture transport properties under non-saturated conditions14citations

Places of action

Chart of shared publication
Bernal, Susan A.
7 / 42 shared
Van Den Heede, Phillip
1 / 1 shared
Vanoutrive, Hanne
16 / 22 shared
Gluth, Gregor J. G.
4 / 17 shared
Shi, Zhenguo
8 / 16 shared
Juenger, Maria C. G.
2 / 6 shared
Gruyaert, Elke
16 / 41 shared
Olonade, Kolawole A.
2 / 2 shared
Elakneswaran, Yogarajah
2 / 2 shared
Sakoparnig, Marlene
6 / 13 shared
Provis, John L.
7 / 52 shared
Dhandapani, Yuvaraj
2 / 14 shared
Von Greve-Dierfeld, Stefanie
9 / 10 shared
Lothenbach, Barbara
13 / 314 shared
De Belie, Nele
11 / 101 shared
Hechtl, C. Maximilian
1 / 2 shared
Gehlen, Christoph
4 / 18 shared
Kränkel, Thomas
2 / 11 shared
Heede, Phillip Van Den
1 / 1 shared
Belie, Nele De
6 / 54 shared
Greve-Dierfeld, Stefanie Von
4 / 4 shared
De Belie, N.
1 / 39 shared
Phung, Q. T.
1 / 2 shared
Rogiers, B.
1 / 1 shared
Gluth, Gregor
2 / 44 shared
Gruyaert, E.
1 / 16 shared
Vanoutrive, H.
1 / 2 shared
Zhao, Z.
1 / 21 shared
Etcheverry, J. M.
1 / 1 shared
Villagran Zaccardi, Y.
1 / 1 shared
Uwanuakwa, I. D.
1 / 1 shared
Kamali-Bernard, S.
1 / 4 shared
Vollpracht, A.
1 / 6 shared
Rathnarajan, S.
1 / 2 shared
Kanellopoulos, A.
1 / 3 shared
Martins, I. M.
1 / 4 shared
Rogiers, Bart
3 / 3 shared
Vollpracht, Anya
13 / 35 shared
Etcheverry, Juan Manuel
3 / 8 shared
Villagrán-Zaccardi, Yury Andrés
1 / 8 shared
Martins, Isabel Milagre
3 / 3 shared
Kamali-Bernard, Siham
9 / 29 shared
Uwanuakwa, Ikenna D.
3 / 3 shared
Kanellopoulos, Antonios
3 / 9 shared
Rathnarajan, Sundar
3 / 6 shared
Zhao, Zengfeng
13 / 21 shared
Phung, Quoc Tri
5 / 11 shared
Zaccardi, Yury Villagran
2 / 2 shared
Gambarelli, Serena
1 / 1 shared
Ožbolt, Joško
1 / 3 shared
Haynack, Alexander
2 / 4 shared
Zadran, Sekandar
1 / 1 shared
Timothy, Jithender J.
1 / 12 shared
Andrade, Carmen
11 / 18 shared
Van Den Heede, Philip
9 / 25 shared
Geyer, Sebastian
1 / 2 shared
Braun, Alexander
1 / 1 shared
Huet, Bruno
7 / 8 shared
Medina, César
5 / 20 shared
Wu, B.
1 / 5 shared
Nilsson, Lars Olof
1 / 1 shared
Abdul Wahid, Fatmawati
1 / 1 shared
Baroghel-Bouny, Véronique
1 / 9 shared
Olsson, Nilla
1 / 4 shared
Wong, Hong S.
1 / 4 shared
Chart of publication period
2024
2023
2022
2021
2020
2019
2018

Co-Authors (by relevance)

  • Bernal, Susan A.
  • Van Den Heede, Phillip
  • Vanoutrive, Hanne
  • Gluth, Gregor J. G.
  • Shi, Zhenguo
  • Juenger, Maria C. G.
  • Gruyaert, Elke
  • Olonade, Kolawole A.
  • Elakneswaran, Yogarajah
  • Sakoparnig, Marlene
  • Provis, John L.
  • Dhandapani, Yuvaraj
  • Von Greve-Dierfeld, Stefanie
  • Lothenbach, Barbara
  • De Belie, Nele
  • Hechtl, C. Maximilian
  • Gehlen, Christoph
  • Kränkel, Thomas
  • Heede, Phillip Van Den
  • Belie, Nele De
  • Greve-Dierfeld, Stefanie Von
  • De Belie, N.
  • Phung, Q. T.
  • Rogiers, B.
  • Gluth, Gregor
  • Gruyaert, E.
  • Vanoutrive, H.
  • Zhao, Z.
  • Etcheverry, J. M.
  • Villagran Zaccardi, Y.
  • Uwanuakwa, I. D.
  • Kamali-Bernard, S.
  • Vollpracht, A.
  • Rathnarajan, S.
  • Kanellopoulos, A.
  • Martins, I. M.
  • Rogiers, Bart
  • Vollpracht, Anya
  • Etcheverry, Juan Manuel
  • Villagrán-Zaccardi, Yury Andrés
  • Martins, Isabel Milagre
  • Kamali-Bernard, Siham
  • Uwanuakwa, Ikenna D.
  • Kanellopoulos, Antonios
  • Rathnarajan, Sundar
  • Zhao, Zengfeng
  • Phung, Quoc Tri
  • Zaccardi, Yury Villagran
  • Gambarelli, Serena
  • Ožbolt, Joško
  • Haynack, Alexander
  • Zadran, Sekandar
  • Timothy, Jithender J.
  • Andrade, Carmen
  • Van Den Heede, Philip
  • Geyer, Sebastian
  • Braun, Alexander
  • Huet, Bruno
  • Medina, César
  • Wu, B.
  • Nilsson, Lars Olof
  • Abdul Wahid, Fatmawati
  • Baroghel-Bouny, Véronique
  • Olsson, Nilla
  • Wong, Hong S.
OrganizationsLocationPeople

document

Report of RILEM TC 281-CCC: Insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches

  • Rogiers, Bart
  • Vanoutrive, Hanne
  • Thiel, Charlotte
  • Vollpracht, Anya
  • Etcheverry, Juan Manuel
  • Gluth, Gregor J. G.
  • Martins, Isabel Milagre
  • Kamali-Bernard, Siham
  • Uwanuakwa, Ikenna D.
  • Kanellopoulos, Antonios
  • Rathnarajan, Sundar
  • Gruyaert, Elke
  • Zhao, Zengfeng
  • Zaccardi, Yury Villagran
  • Phung, Quoc Tri
  • Belie, Nele De
Abstract

<title>Abstract</title><p>The RILEM TC 281–CCC ‘‘Carbonation of concrete with supplementary cementitious materials’’ conducted a study on the effects of supplementary cementitious materials (SCMs) on the carbonation rate of blended cement concretes and mortars. In this context, a comprehensive database has been established, consisting of 1044 concrete and mortar mixes with their associated carbonation depth data over time. The dataset comprises mix designs with a large variety of binders with up to 94% SCMs, collected from the literature as well as unpublished testing reports. The data includes chemical composition and physical properties of the raw materials, mix-designs, compressive strengths, curing and carbonation testing conditions. Natural carbonation was recorded for several years in many cases with both indoor and outdoor results. The database has been analysed to investigate the effects of binder composition and mix design, curing and preconditioning, and relative humidity on the carbonation rate. Furthermore, the accuracy of accelerated carbonation testing as well as possible correlations between compressive strength and carbonation resistance were evaluated. The analysis revealed that the <italic>w</italic>/CaO<sub>reactive</sub> ratio is a decisive factor for carbonation resistance, while curing and exposure conditions also influence carbonation. Under natural exposure conditions, the carbonation data exhibit significant variations. Nevertheless, probabilistic inference suggests that both accelerated and natural carbonation processes follow a square-root-of-time behavior, though accelerated and natural carbonation cannot be converted into each other without corrections. Additionally, a machine learning technique was employed to assess the influence of parameters governing the carbonation progress in concretes.</p>

Topics
  • impedance spectroscopy
  • strength
  • cement
  • chemical composition
  • curing
  • machine learning