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An unsupervised machine learning based ground motion selection method for computationally efficient estimation of seismic fragility

Author(s): ORCID (Institute of Engineering Mechanics China Earthquake Administration Harbin China)
ORCID (Institute of Engineering Mechanics China Earthquake Administration Harbin China)
(Institute of Engineering Mechanics China Earthquake Administration Harbin China)
Medium: journal article
Language(s): English
Published in: Earthquake Engineering and Structural Dynamics, , n. 8, v. 52
Page(s): 2360-2383
DOI: 10.1002/eqe.3793
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: 10.1002/eqe.3793.
  • About this
    data sheet
  • Reference-ID
    10703081
  • Published on:
    16/12/2022
  • Last updated on:
    02/09/2023
 
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