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Utveckling och validering av modeller för att prediktera mögelväxt i byggnader
RISE Research Institutes of Sweden, Samhällsbyggnad, Bygg och fastighet.ORCID-id: 0000-0003-0200-6513
Lund University, Sweden.
Lund University, Sweden.
Thomas Svensson Ingenjörsstatistik, Sweden.
Visa övriga samt affilieringar
2018 (Svenska)Rapport (Övrigt vetenskapligt)
Abstract [en]

In this project we have tested a mould model originally developed by Skanska (the m-model) and a method developed by RISE in Sweden (the GLC-method) on data from both laboratory and field measurements. The laboratory measurements had durations of a few months and were made in climate chambers at RISE; the field measurements were made in 12 buildings during 30 months. In both cases, temperature, relative humidity and mould growth was assessed on six different materials. The results were used to investigate if the m-model or the GLC-method could predict when there was mould growth. Both methods could differentiate between the (dry) cases without mould and the (moist) cases with mould. However, we could not find mould resistance parameters for the tested materials to be used with the m-model. This could be because the m-model cannot predict mould growth well enough, but it can also be because the types of measurements that we have made have relative large uncertainties in relative humidity. Isotheral calorimetry was also investigated as an interesting method to study how drying affects the activity of mould fungi.

Ort, förlag, år, upplaga, sidor
2018. , s. 48
Serie
RISE Rapport ; 2018:167
Nyckelord [en]
mould, prediction, model, building materials, moisture, RH, critical moisture level
Nationell ämneskategori
Naturvetenskap
Identifikatorer
URN: urn:nbn:se:ri:diva-50999ISBN: 978-91-88695-51-2 (digital)OAI: oai:DiVA.org:ri-50999DiVA, id: diva2:1507818
Tillgänglig från: 2020-12-08 Skapad: 2020-12-08 Senast uppdaterad: 2023-06-05Bibliografiskt granskad

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Johansson, Pernilla

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