• Title of article

    Modelling the outdoor performance of wood products – A review on existing approaches

  • Author/Authors

    Brischke، نويسنده , , Christian and Thelandersson، نويسنده , , Sven، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    14
  • From page
    384
  • To page
    397
  • Abstract
    Service life planning and performance classification are key issues in the building sector. Well-functioning ‘performance models’ are absolutely essential to predict the service life and functionality of buildings, building assets, and building products over time. Different types of performance models have been established for various building materials, but cannot necessarily transferred to wood-based materials, primarily due to their organic character. For performance modelling of wood products biological agents need to be considered, such as wood disfiguring and degrading organisms. ent approaches to adequately reflect the influence of biotic and abiotic factors on the performance of wood have been reviewed and evaluated with respect to their usability in the building trade. We found that efforts in developing performance models for both fungal decay and mould growth have been intensified in recent years. A high heterogeneity among the numerous attempts became visible, different strategies have been followed, and were roughly distinguished according to the respective objectives, governing variables (e.g. mass loss, strength loss, remaining strength, decay ratings, service life, aesthetic appearance, etc.), data sources and the resulting level of accuracy. ework of how exposure, dimension, design details, and the material-intrinsic ability to take up and release water can be linked to model the moisture risk in wood products is in principal available. Methods and models have the potential to get implemented not only in design guidelines, but also in European and international standards. In particular, various dosimeter models could serve as reliable tools to quantify the effects of different construction details.
  • Keywords
    Decay , Dose–response model , In-service performance , Limit state design , Moisture content , Service life prediction
  • Journal title
    Construction and Building Materials
  • Serial Year
    2014
  • Journal title
    Construction and Building Materials
  • Record number

    1637529