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Niveau 2 : Outil de sélection semi-quantitatif (OSSQ) en fonction des risques sismiques pour les bâtiments existants à ossature légère en bois en vertu de la partie 9 du CNB. Partie 1 : guide d’utilisation

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.4224/40002991
AuthorSearch for: 1; Search for: 1; Search for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. Construction
FunderSearch for: Conseil national de recherches du Canada. Centre de recherche en construction
FormatText, Technical Report
Physical description90 p.
Abstract
The Level 2 – Semi-Quantitative Seismic Risk Screening Tool (SQST) for existing wood light frame buildings under Part 9 of the NBC (WLF-P9) aims to inexpensively identify and exempt existing WLF-P9 buildings with acceptable seismic risks from Level 3 – Seismic Evaluation Guidelines (SEG) and to prioritize existing WLF-P9 buildings with potentially unacceptable seismic risks for Level 3 – SEG. It is preceded by the Level 1 – Preliminary Seismic Risk Screening Tool (PST) for existing WLF-P9 buildings under Part 9 of the NBC. The methodology in Level 2 – SQST (WLF-P9) is based on Level 2- SQST originally developed for existing buildings under Part 4 of the NBC (also known as Part 4 buildings). It consists of a structural scoring system, a non-structural component scoring system, and a ranking procedure. Level 2 – SQST (WLF-P9) is designed to be completed by trained screeners using Level 2 – SQST (WLF-P9) screening forms. A site visit is required for collecting building information such as building deterioration or damage and non-structural hazards.
Publication date
PublisherConseil national de recherches du Canada. Centre de recherche en construction
Translation of
  • Cai, Zhen, Reza Fathi-Fazl, Farrokh Fazileh, and Leonardo Cortés-Puentes. ‘Level 2: Semi-Quantitative Seismic Risk Screening Tool (SQST) for Existing Wood Light Frame Buildings under Part 9 of the NBC. Part 1: User”s Guide’. National Research Council of Canada. Construction Research Centre, March 2022. .
LanguageFrench
Peer reviewedYes
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Record identifier91b986bf-910c-4b84-887a-b939255b778b
Record created2023-05-09
Record modified2023-05-10
Date modified: