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AI Models for Accelerating Wood Protection Testing: Development of Predictive Tools Based on Long-Term Field Test Data
2025 - IRG/WP 25-41023
In this study, we present the development of DecAI, an artificial intelligence (AI) model designed to optimise and accelerate performance evaluations of wood protection products in the European EN 330:2014 "Field test: L-joint method." The Danish Technological Institute (DTI) compiled a dataset of over 100,000 data points from approx.10,000 L-joint samples collected over +15 years at field sites i...
J Stenbaek, B Noufel, L Glade, P Bisgaard


A Case Study of Vogvarjeva hiša, a Local Ethnographic Museum
2025 - IRG/WP 25-41027
The Vogvarjeva hiša in Spodnje Duplje, Slovenia, is an example of traditional 18th Century wooden architecture and an important element of the region’s cultural heritage. The building was constructed from local timber on stone foundations and reflects the traditional rural building techniques of the Gorenjska region. Since it was declared a cultural monument in 1985, it has functioned as an eth...
D Kržišnik, L Kopač, D Jones, M Humar


Relationship between changes inside moisture content of wood measured using temperature and humidity sensors and swelling and shrinkage
2025 - IRG/WP 25-41030
With the spread of mid and high-rise timber buildings, the long-term use of timber buildings is getting required more than ever. It is considered that measurement of the local inside moisture content of a wooden member is one of the useful methods for periodic health assessment of timber buildings. The aim of this research is to establish an easy estimation method of the local inside moisture cont...
Y Sadakane, T Mori


Linking treatability with moisture dynamics
2025 - IRG/WP 25-41031
Wood preservation is inherently linked to the ability to penetrate treating liquids. The EN 147374 (2022) standard provides a methodology to assess treatability and allows to identify wood species in relation to treatability classes. Over the past decades, performance of wood species in applications in use class 3 has been linked both to the impact of moisture dynamics and the resistance against f...
J Van Acker, K De Vriendt, M Durimel, L De Ligne, J Van den Bulcke


Quantitative Prediction of Latent Deterioration in Wood Coatings Using Mid-Infrared Spectroscopy and Machine Learning
2025 - IRG/WP 25-41038
Wood coatings play a vital role in prolonging the lifespan of timber structures by protecting them from environmental degradation. However, conventional evaluation methods rely on visual inspections, which cannot detect latent deterioration before visible damage occurs. This study integrates attenuated total reflectance-Fourier transform infrared (ATR-FTIR) spectroscopy with partial least squares ...
Y Teramoto


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