Hygro-thermal numerical models for stress-laminated timber decks

Stefania Fortino, Petr Hradil, Merja Sippola, Tomi Toratti

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    In this paper FEM simulations based on the recent advances in hygro-thermal modelling of wood are carried out for the stress-laminated timber deck (SLTD) of a timber bridge exposed to Northern climates. The work compares the performance of two different FEM models that were implemented in Abaqus code and have been also used in earlier works. The first model is based on a simple single-Fickian approach which uses only the moisture content as a variable and the second one is a full coupled analysis based on the multi-Fickian theory with sorption hysteresis of wood. Both models were previously verified for cases of wooden specimens in laboratory conditions as well as for bridge elements under warm Mediterranean climates. The first results of hygro-thermal simulations of a Norwegian bridge deck provide useful suggestions for the future development of numerical models for timber bridge elements under Northern climates.
    Original languageEnglish
    Title of host publicationCOST Timber Bridge Conference – CTBC 2014
    EditorsSteffen Franke, Bettina Franke, Robert Widmann
    Place of PublicationBern
    Pages133-140
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventCOST Timber Bridge Conference, CTBS 2014 - Biel, Switzerland
    Duration: 25 Sept 201426 Sept 2014

    Conference

    ConferenceCOST Timber Bridge Conference, CTBS 2014
    Abbreviated titleCTBS 2014
    Country/TerritorySwitzerland
    CityBiel
    Period25/09/1426/09/14

    Keywords

    • stress-laminated timber deck
    • moisture content
    • monitoring
    • hygro-thermal models
    • FEM

    Fingerprint

    Dive into the research topics of 'Hygro-thermal numerical models for stress-laminated timber decks'. Together they form a unique fingerprint.

    Cite this