Podrobná bibliografie
| Název: |
BIM-based framework for estimating service life duration of wood construction elements under environmental exposure |
| Autoři: |
Acquah, Richard, Niklewski, Jonas, Sandak, Anna, Sandak, Jakub |
| Přispěvatelé: |
Lund University, Faculty of Engineering, LTH, Departments at LTH, Department of Building and Environmental Technology, Division of Structural Engineering, Lunds universitet, Lunds Tekniska Högskola, Institutioner vid LTH, Institutionen för bygg- och miljöteknologi, Avdelningen för Konstruktionsteknik, Originator |
| Zdroj: |
Building and Environment. 287 |
| Témata: |
Agricultural and Veterinary sciences, Agriculture, Forestry and Fisheries, Wood Science (including Wood Technology), Lantbruksvetenskap och veterinärmedicin, Jordbruk, skogsbruk och fiske, Trävetenskap (Här ingår: Träteknologi), Engineering and Technology, Civil Engineering, Building materials, Teknik, Samhällsbyggnadsteknik, Byggnadsmaterial, Mechanical Engineering, Reliability and Maintenance, Maskinteknik, Tillförlitlighets- och kvalitetsteknik |
| Popis: |
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 15,686–4 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. |
| Přístupová URL adresa: |
https://doi.org/10.1016/j.buildenv.2025.113890 |
| Databáze: |
SwePub |