GLOSI taxonomy: A tool for ‘seismic risk assessment’ oriented classification of school buildings

Rohit K. Adhikari, Dina D'Ayala, Rafael Fernandez, Luis Yamin, Arash Nassirpour, Ahsana P Vatteri, Carina Ferreira, Fernando Cortes

Research output: Contribution to journalArticlepeer-review

48 Downloads (Pure)

Abstract

For the seismic vulnerability and risk assessment of school infrastructure in a region, it becomes necessary first to identify and classify these constructions into a distinct number of structural typologies characterised by their vulnerability features. This enables us to rank the expected vulnerability of different typologies at the initial screening stage as well as to characterise the representative index buildings of different typologies for detailed vulnerability quantification. Currently, a systematic and comprehensive taxonomy tailored for the school buildings is not available. The present paper thus develops a globally applicable structural taxonomy to be used in the seismic risk assessment of school infrastructure within the framework of the Global Program for Safer Schools (GPSS) of the World Bank. Application as well as verification of the proposed taxonomy is tested to a range of school construction types from different countries across the world.

Original languageEnglish
Article number103594
Pages (from-to)1-22
Number of pages22
JournalInternational Journal of Disaster Risk Reduction
Volume87
Early online date16 Feb 2023
DOIs
Publication statusPublished - 30 Mar 2023

Keywords

  • Classification
  • Disaster risk management
  • Masonry and RC buildings
  • School infrastructure
  • Seismic risk assessment
  • Taxonomy

Fingerprint

Dive into the research topics of 'GLOSI taxonomy: A tool for ‘seismic risk assessment’ oriented classification of school buildings'. Together they form a unique fingerprint.

Cite this