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Parametric and Machine Learning-Based Analysis of the Seismic Vulnerability of Adobe Historical Buildings Damaged After the September 2017 Mexico Earthquakes

Author(s): ORCID (Institute for Sustainability and Innovation in Structural Engineering (ISISE), Department of Civil Engineering, University of Minho, Guimaraes, Portugal)
ORCID (School of Engineering, College of Arts, Technology and Environment (CATE), University of the West of England (UWE Bristol), Bristol, UK)
ORCID (RISCO, Departamento de Engenharia Civil, Universidade de Aveiro, Aveiro, Portugal)
ORCID (Institute for Sustainability and Innovation in Structural Engineering (ISISE), Department of Civil Engineering, University of Minho, Guimaraes, Portugal)
ORCID (Instituto de Ingeniería, Universidad Nacional Autónoma de México, Mexico City, Mexico)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Heritage, , n. 6, v. 18
Page(s): 1-24
DOI: 10.1080/15583058.2023.2200739

Geographic Locations

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1080/15583058.2023.2200739.
  • About this
    data sheet
  • Reference-ID
    10726209
  • Published on:
    30/05/2023
  • Last updated on:
    20/06/2024
 
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