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Modelling Moisture Conditions Of Norway Spruce (Picea Abies) : First Validation Against A Global Experiment

Niklewski, Jonas LU ; Emmerich, Lucas ; Sand Austigard, Mari ; Batista, Djeison ; Boivin, Gabrielle ; Cai, Lili ; Creemers, Jos ; Humar, Miha ; Hundhausen, Ulrich and Ibáñes, Marcela , et al. (2025) 3rd International Conference on Moisture in Buildings 2025
Abstract (Swedish)
Wood used in outdoor construction is consistently subjected to wetting by precipitation. High levels of moisture content, especially if sustained over long periods, promote fungal decay and structural degradation. Predicting temporal variation of moisture content in wood exposed to rain is essential for durability assessment, and simple fit-for-purpose numerical approaches have been developed for this purpose. While these models do not fully describe the complex dynamics of free water transport, they have been shown to capture the relevant features for durability assessment. Extensive validation is however necessary to assess their applicability, robustness and limitations. This study evaluates a
numerical model for moisture content... (More)
Wood used in outdoor construction is consistently subjected to wetting by precipitation. High levels of moisture content, especially if sustained over long periods, promote fungal decay and structural degradation. Predicting temporal variation of moisture content in wood exposed to rain is essential for durability assessment, and simple fit-for-purpose numerical approaches have been developed for this purpose. While these models do not fully describe the complex dynamics of free water transport, they have been shown to capture the relevant features for durability assessment. Extensive validation is however necessary to assess their applicability, robustness and limitations. This study evaluates a
numerical model for moisture content prediction of Norway spruce (Picea abies) boards by comparing its outputs to measurements from 12 locations around the world, all using the same parameter settings. Overall, the model aligned with observed trends and demonstrated robustness across diverse climates, though some discrepancies likely stemmed from weather data inconsistencies and inherent simplifications. The results confirm its reliability for durability-related moisture assessments and suggest refinements to further enhance performance. (Less)
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organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
11 pages
conference name
3rd International Conference on Moisture in Buildings 2025
conference location
Guimarães, Portugal
conference dates
2025-10-23 - 2025-10-24
language
English
LU publication?
yes
additional info
This is the author-accepted manuscript of a paper presented at the ICMB25 conference. It was not included in the official conference proceedings due to funder open-access requirements. This version may differ from any subsequently published version.
id
cc026295-928c-4a82-8f7b-dd7bc4f89ccd
date added to LUP
2025-12-02 12:14:02
date last changed
2025-12-04 11:00:33
@misc{cc026295-928c-4a82-8f7b-dd7bc4f89ccd,
  abstract     = {{Wood used in outdoor construction is consistently subjected to wetting by precipitation. High levels of moisture content, especially if sustained over long periods, promote fungal decay and structural degradation. Predicting temporal variation of moisture content in wood exposed to rain is essential for durability assessment, and simple fit-for-purpose numerical approaches have been developed for this purpose. While these models do not fully describe the complex dynamics of free water transport, they have been shown to capture the relevant features for durability assessment. Extensive validation is however necessary to assess their applicability, robustness and limitations. This study evaluates a<br/>numerical model for moisture content prediction of Norway spruce (Picea abies) boards by comparing its outputs to measurements from 12 locations around the world, all using the same parameter settings. Overall, the model aligned with observed trends and demonstrated robustness across diverse climates, though some discrepancies likely stemmed from weather data inconsistencies and inherent simplifications. The results confirm its reliability for durability-related moisture assessments and suggest refinements to further enhance performance.}},
  author       = {{Niklewski, Jonas and Emmerich, Lucas and Sand Austigard, Mari and Batista, Djeison and Boivin, Gabrielle and Cai, Lili and Creemers, Jos and Humar, Miha and Hundhausen, Ulrich and Ibáñes, Marcela and Kartal, Nami and Meincken, Martina and Möller, Antonia and Singh, Tripti and Wong, Daniel and Brischke, Christian}},
  language     = {{eng}},
  title        = {{Modelling Moisture Conditions Of Norway Spruce (Picea Abies) : First Validation Against A Global Experiment}},
  url          = {{https://lup.lub.lu.se/search/files/234609321/ICMB25_ID1219.pdf}},
  year         = {{2025}},
}