Capillary condensation experiment for inverse modelling of porous building materials
Hygrothermal simulations are of major importance for critical problems in building physics, such as the application of internal insulation in heritage buildings. These simulations require numerous material parameters that are challenging to determine. We present measurements of typical internal insu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2020-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_17003.pdf |
| _version_ | 1818459260785262592 |
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| author | Hirsch Hauke Heyn Rüdiger Klõšeiko Paul |
| author_facet | Hirsch Hauke Heyn Rüdiger Klõšeiko Paul |
| author_sort | Hirsch Hauke |
| collection | DOAJ |
| description | Hygrothermal simulations are of major importance for critical problems in building physics, such as the application of internal insulation in heritage buildings. These simulations require numerous material parameters that are challenging to determine. We present measurements of typical internal insulation materials, calcium-silicate and autoclaved aerated concrete, which we expose to a warm, humid climate on one side and a cold temperature on the other side. We measure the moisture gain over time and determine the moisture profile at experiment end. In an inverse modelling approach, the measurements are used to identify material parameters, in particular vapour conductivity and capillary conductivity as a function of moisture content. We found the measurements of crucial importance for the accurate determination of these parameters. When the parameters rely only on isothermal measurements such as the drying experiment, the model fails to predict the capillary condensation process. We demonstrate this on a dataset from another study with interior insulation subjected to changing boundary conditions. The model calibrated with capillary condensation data reliably reconstructs measurements while the drying-calibrated model drastically underestimates the moisture content. |
| first_indexed | 2024-12-14T23:11:32Z |
| format | Article |
| id | doaj.art-71aac87e43c642d88c902d5f07a6a5f6 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-14T23:11:32Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-71aac87e43c642d88c902d5f07a6a5f62022-12-21T22:44:11ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011721700310.1051/e3sconf/202017217003e3sconf_nsb2020_17003Capillary condensation experiment for inverse modelling of porous building materialsHirsch Hauke0Heyn Rüdiger1Klõšeiko PaulDresden University of Technology, Institute of Building ClimatologyDresden University of Technology, Institute of Building ClimatologyHygrothermal simulations are of major importance for critical problems in building physics, such as the application of internal insulation in heritage buildings. These simulations require numerous material parameters that are challenging to determine. We present measurements of typical internal insulation materials, calcium-silicate and autoclaved aerated concrete, which we expose to a warm, humid climate on one side and a cold temperature on the other side. We measure the moisture gain over time and determine the moisture profile at experiment end. In an inverse modelling approach, the measurements are used to identify material parameters, in particular vapour conductivity and capillary conductivity as a function of moisture content. We found the measurements of crucial importance for the accurate determination of these parameters. When the parameters rely only on isothermal measurements such as the drying experiment, the model fails to predict the capillary condensation process. We demonstrate this on a dataset from another study with interior insulation subjected to changing boundary conditions. The model calibrated with capillary condensation data reliably reconstructs measurements while the drying-calibrated model drastically underestimates the moisture content.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_17003.pdf |
| spellingShingle | Hirsch Hauke Heyn Rüdiger Klõšeiko Paul Capillary condensation experiment for inverse modelling of porous building materials E3S Web of Conferences |
| title | Capillary condensation experiment for inverse modelling of porous building materials |
| title_full | Capillary condensation experiment for inverse modelling of porous building materials |
| title_fullStr | Capillary condensation experiment for inverse modelling of porous building materials |
| title_full_unstemmed | Capillary condensation experiment for inverse modelling of porous building materials |
| title_short | Capillary condensation experiment for inverse modelling of porous building materials |
| title_sort | capillary condensation experiment for inverse modelling of porous building materials |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/32/e3sconf_nsb2020_17003.pdf |
| work_keys_str_mv | AT hirschhauke capillarycondensationexperimentforinversemodellingofporousbuildingmaterials AT heynrudiger capillarycondensationexperimentforinversemodellingofporousbuildingmaterials AT kloseikopaul capillarycondensationexperimentforinversemodellingofporousbuildingmaterials |