Prediction Models for Thermal Conductivity of Cement-based Composites
Auteur(s): |
Mohammad H. Baghban
(Associate Professor, Department of Manufacturing and Civil Engineering , Norwegian University of Sciences and Technology (NTNU) , Teknologivegen 22, 2815 Gjøvik)
Mahdi Kioumarsi (Associate Professor, Department of Civil Engineering and Energy Technology , Oslo Metropolitan University (OsloMet) , Pilestredet 35, Oslo) Sotirios Grammatikos (Professor, Department of Manufacturing and Civil Engineering , Norwegian University of Sciences and Technology (NTNU) Teknologivegen 22, 2815 Gjøvik) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Nordic Concrete Research, juin 2018, n. 1, v. 58 |
Page(s): | 163-171 |
DOI: | 10.2478/ncr-2018-0010 |
Abstrait: |
Cement-based materials are the most consumed materials in the construction industry. Low or high thermal conductive cement-based materials are of interest in applications such as embedded floor heating systems, building envelopes or structural elements. This paper describes prediction models for thermal conductivity of cementitious composites by considering different variables such as constituent materials, porosity and moisture content. The presented prediction models may be used for thermal conductivity based mix design of cementitious materials. Based on the desired accuracy, different solutions are proposed. |
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10705867 - Publié(e) le:
19.02.2023 - Modifié(e) le:
19.02.2023