A database model for the analysis and assessment of historic timber roof structures

Serafini, A. and Riggio, M. and González-Longo, C. (2016) A database model for the analysis and assessment of historic timber roof structures. International Wood Products Journal, 8 (1). pp. 3-8. ISSN 2042-6453 (https://doi.org/10.1080/20426445.2016.1232929)

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Abstract

Visual inspection assisted by well-structured forms allows experts to collect homogeneous data in order to report about typical damage/vulnerabilities of structures. This is the basis for deriving vulnerability factors to predict failure mechanisms and identify urgent interventions. A database model with an associated structured form for the assessment of historic timber roof structures has been developed during a two-week Short Term Scientific Mission (STSM) in May 2015 at CNR IVALSA Institute in San Michele All’Adige (Italy). The aim is to assist during inspection in recording all the necessary information and later in analysing data from several inspections, allowing to identify typical damage and its causes. The database model, starting from the work of COST Action FP 1101 and further developed and digitalised during the STSM, has been initially populated with data previously collected by the University of Strathclyde through visual assessment of 29 historic timber roofs in Scotland.

ORCID iDs

Serafini, A. ORCID logoORCID: https://orcid.org/0000-0001-7547-4639, Riggio, M. and González-Longo, C. ORCID logoORCID: https://orcid.org/0000-0001-7522-0380;
  • Item type:Article
    ID code:57703
    Dates:
    Date
    Event
    13 October 2016
    Published
    13 October 2016
    Published Online
    31 August 2016
    Accepted
    Notes:The Version of Record of this manuscript has been published in International Wood Products Journal 13 October 2016 http://dx.doi.org/10.1080/20426445.2016.1232929
    Subjects:Fine Arts > Architecture
    Department:Faculty of Engineering > Architecture
    Depositing user: Pure Administrator
    Date deposited:06 Sep 2016 13:26
    Last modified:18 Nov 2024 01:09
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/57703
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