Probabilistic Distributions of Moisture Damages in Swedish Buildings
(2025) 9th International Building Physics Conference, IBPC 2024 In Lecture Notes in Civil Engineering 552 LNCE. p.105-113- Abstract
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... (More)
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.
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- author
- Wu, Pei Yu ; Johansson, Tim ; Mundt-Petersen, S. Olof LU and Mjörnell, Kristina LU
- organization
- publishing date
- 2025
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Characterization, Moisture Damage, Multivariate Analysis, Probability Distribution, Sweden
- host publication
- Multiphysics and Multiscale Building Physics - Proceedings of the 9th International Building Physics Conference, IBPC 2024
- series title
- Lecture Notes in Civil Engineering
- editor
- Berardi, Umberto
- volume
- 552 LNCE
- pages
- 9 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- 9th International Building Physics Conference, IBPC 2024
- conference location
- Toronto, Canada
- conference dates
- 2024-07-25 - 2024-07-27
- external identifiers
-
- scopus:85217238541
- ISSN
- 2366-2557
- 2366-2565
- ISBN
- 9789819783045
- DOI
- 10.1007/978-981-97-8305-2_13
- language
- English
- LU publication?
- yes
- id
- eca3f70e-ff3c-4a19-98b9-24d063d51965
- date added to LUP
- 2025-07-03 13:08:16
- date last changed
- 2025-07-17 13:59:02
@inproceedings{eca3f70e-ff3c-4a19-98b9-24d063d51965,
abstract = {{<p>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.</p>}},
author = {{Wu, Pei Yu and Johansson, Tim and Mundt-Petersen, S. Olof and Mjörnell, Kristina}},
booktitle = {{Multiphysics and Multiscale Building Physics - Proceedings of the 9th International Building Physics Conference, IBPC 2024}},
editor = {{Berardi, Umberto}},
isbn = {{9789819783045}},
issn = {{2366-2557}},
keywords = {{Characterization; Moisture Damage; Multivariate Analysis; Probability Distribution; Sweden}},
language = {{eng}},
pages = {{105--113}},
publisher = {{Springer Science and Business Media B.V.}},
series = {{Lecture Notes in Civil Engineering}},
title = {{Probabilistic Distributions of Moisture Damages in Swedish Buildings}},
url = {{http://dx.doi.org/10.1007/978-981-97-8305-2_13}},
doi = {{10.1007/978-981-97-8305-2_13}},
volume = {{552 LNCE}},
year = {{2025}},
}