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A dynamic Gaussian process surrogate model based on the grasshopper optimization algorithm for non-probabilistic reliability analysis of complex structures

Author(s): (Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University, Nanning, China)
(Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University, Nanning, China)
(Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, School of Civil and Architecture Engineering, Guangxi University, Nanning, China)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering
Page(s): 1-12
DOI: 10.1080/15732479.2023.2225509
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: 10.1080/15732479.2023.2225509.
  • About this
    data sheet
  • Reference-ID
    10734766
  • Published on:
    03/09/2023
  • Last updated on:
    03/09/2023
 
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