Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/43381

TitleInference on stiffness and strength of existing chestnut timber elements using Hierarchical Bayesian Probability Networks
Author(s)Sousa, Hélder S.
Branco, Jorge M.
Lourenço, Paulo B.
Neves, Luís Armando Canhoto
KeywordsStructural reliability
Bayesian probabilistic networks
Existing timber structures
Bending stiffness
Bending strength
Issue date2016
PublisherSpringer Verlag
JournalMaterials and Structures
CitationSousa H.S., Branco J.M., Lourenço P.B., Neves L.C. (2016). Inference of stiffness and strength of chestnut timber members by use of Hierarchical Bayesian Probabilistic Networks, Materials and Structures 49(10). pp 4013-4028 (doi.org/10.1617/s11527-015-0770-8)
Abstract(s)The assessment of the mechanical properties of existing timber elements could benefit from the use of probabilistic information gathered at different scales. In this work, Bayesian Probabilistic Networks are used to hierarchically model the results of a multi-scale experimental campaign, using different sources of information (visual and mechanical grading) and different sample size scales to infer on the strength and modulus of elasticity in bending of structural timber elements. Bayesian networks are proposed for different properties and calibrated using a large set of experimental tests carried out on old chestnut (Castanea sativa Mill.) timber elements, recovered from an early 20th century building. The obtained results show the significant impact of visual grading and stiffness evaluation at different scales on the prediction of timber members’ properties. These results are used in the reliability analysis of a simple timber structure, clearly showing the advantages of a systematic approach that involves the combination of different sources of information on the safety assessment of existing timber structures.
TypeArticle
URIhttp://hdl.handle.net/1822/43381
DOI10.1617/s11527-015-0770-8
ISSN1359-5997
Publisher versionThe final publication is available at link.springer.com: http://link.springer.com/article/10.1617/s11527-015-0770-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ISISE - Artigos em Revistas Internacionais

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