BIM-based framework for estimating service life duration of wood construction elements under environmental exposure

• Presents a BIM-integrated framework for predicting the service life of wood elements under environmental exposure. • Uses ISO 15686-4 and extends the IFC schema with custom property sets for wood durability. • Delivers a functional Revit plugin for real-time service life prediction and 3D visualization. • Connects wood material performance science with digital construction, advancing performance-based design in BIM. As the construction industry adopts more data-driven and sustainable practices, Building Information Modelling (BIM) is increasingly used for energy analysis, lifecycle management, and maintenance planning. However, its integration with service life performance analysis especially for wood, a material susceptible to environmental degradation remains limited. This study presents a BIM-based framework that incorporates wood-specific parameters such as environmental exposure, material properties, and design detailing to estimate the service life of wood construction elements. The framework is structured using ISO 15686-4 principles and implemented through custom Industry Foundation Classes (IFC) property sets. A Revit plugin developed in C# integrates the model into the BIM environment. A case study of a wooden playhouse is used as a proof-of-concept to demonstrates the framework’s ability to evaluate the impact of design, material, and environmental factors on service life. The results confirm that the framework supports service life prediction and enhances decision-making for wood-based construction. Twenty-one-month observations align with predicted results. However, long-term (2-9 year) predictions remain unvalidated, requiring extended monitoring. By integration of the service life prediction for fungal decay into BIM it offers a practical and scalable tool to support service life–informed design and planning for wood structures.

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Institutions

Publication Details

Journal
Building and Environment
Published
2025-10-21
DOI
https://doi.org/10.1016/j.buildenv.2025.113890
Citations
1
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
Field-Weighted Citation Impact
0.95
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article

BIM-based framework for estimating service life duration of wood construction elements under environmental exposure

Anna Sandak, Jonas Niklewski, Jakub Sandak, Richard Acquah
1 citations
Building and Environment
Infrastructure Maintenance and Monitoring
0.95
article

BIM-based framework for estimating service life duration of wood construction elements under environmental exposure

Anna Sandak, Jonas Niklewski, Jakub Sandak, Richard Acquah
article en
1 citations

Abstract

• Presents a BIM-integrated framework for predicting the service life of wood elements under environmental exposure. • Uses ISO 15686-4 and extends the IFC schema with custom property sets for wood durability. • Delivers a functional Revit plugin for real-time service life prediction and 3D visualization. • Connects wood material performance science with digital construction, advancing performance-based design in BIM. As the construction industry adopts more data-driven and sustainable practices, Building Information Modelling (BIM) is increasingly used for energy analysis, lifecycle management, and maintenance planning. However, its integration with service life performance analysis especially for wood, a material susceptible to environmental degradation remains limited. This study presents a BIM-based framework that incorporates wood-specific parameters such as environmental exposure, material properties, and design detailing to estimate the service life of wood construction elements. The framework is structured using ISO 15686-4 principles and implemented through custom Industry Foundation Classes (IFC) property sets. A Revit plugin developed in C# integrates the model into the BIM environment. A case study of a wooden playhouse is used as a proof-of-concept to demonstrates the framework’s ability to evaluate the impact of design, material, and environmental factors on service life. The results confirm that the framework supports service life prediction and enhances decision-making for wood-based construction. Twenty-one-month observations align with predicted results. However, long-term (2-9 year) predictions remain unvalidated, requiring extended monitoring. By integration of the service life prediction for fungal decay into BIM it offers a practical and scalable tool to support service life–informed design and planning for wood structures.

Building and EnvironmentVol. 287
University of Primorska (SI), Lund University (SE)
Openalex Percentile: Top 20%
Infrastructure Maintenance and Monitoring
0.95
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