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Probabilistic Distributions of Moisture Damages in Swedish Buildings
ETH Zurich, Switzerland.
RISE Research Institutes of Sweden, Built Environment, System Transition and Service Innovation.ORCID iD: 0000-0002-8107-7768
Lund University, Sweden; Swedish Federation of Wood and Furniture Industry, Sweden.
RISE Research Institutes of Sweden, Built Environment, Building and Real Estate. Lund University, Sweden.ORCID iD: 0000-0002-3863-0740
2025 (English)In: Lecture Notes in Civil Engineering, ISSN 2366-2557, Vol. 552 LNCE, p. 105-113Article in journal (Refereed) Published
Abstract [en]

Moisture damages lead to significant costs and impact indoor environments negatively. Identifying their occurrence patterns is crucial for the implementation of preventive or mitigative measures, though it remains highly challenging due to the complex interplay of multidimensional variables. This study aims to identify primary moisture damage profiles in Swedish buildings and evaluate their prevalence. Using data-driven analytical and visualization techniques, 2,100 complex moisture-related damage records between 2014 and 2020 with information on building parameters and damage specifics from Sweden were examined in multivariate analysis. The association analysis reveals varied relationships among factors related to damage, with damage types distributed proportionally across damaged components, causing components, sources, building phase, and responsible actors. The presence patterns of damage differ significantly by building types, yet they are generally reported more frequently in buildings built during the 1960–1980 and 2000–2020. Prevalent moisture damages in Swedish buildings include microbial growth and deformation at the building envelopes and roof, odor in indoor environments caused by wind-driven rain, and indoor or outdoor humidity. Additionally, these damages appear more often in buildings constructed with non-ventilated crawlspaces, wood, concrete, brick structures, façade, exterior walls, and non-ventilated cold attics. The characterized moisture damage patterns and estimated frequency enhance the understanding of their occurrence and associating factors.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2025. Vol. 552 LNCE, p. 105-113
Keywords [en]
Brick construction; Damage detection; Walls (structural partitions); Characterization; In-buildings; Indoor environment; Moisture damage; Multi variate analysis; Occurrence pattern; Probabilistic distribution; Probability: distributions; Sweden; Swedishs; Brick buildings
National Category
Building Technologies
Identifiers
URN: urn:nbn:se:ri:diva-77986DOI: 10.1007/978-981-97-8305-2_13Scopus ID: 2-s2.0-85217238541OAI: oai:DiVA.org:ri-77986DiVA, id: diva2:1941979
Conference
9th International Building Physics Conference, IBPC 2024. Toronto. 25 July 2024 through 27 July 2024
Note

This study was funded by the County Insurance (L\u00E4nsf\u00F6rs\u00E4kringar) (program ID P4:22).

Available from: 2025-03-03 Created: 2025-03-03 Last updated: 2025-09-23Bibliographically approved

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Johansson, TimMjörnell, Kristina

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