Seismic fragility assessment of typical bridges in Northeastern Brazil

Authors

  • Gustavo Henrique Ferreira Cavalcante Universidade Estadual de Campinas – Unicamp, Faculdade de Engenharia Civil, Arquitetura e Urbanismo, Departamento de Estruturas, Campinas, SP, Brasil https://orcid.org/0000-0001-7973-3861
  • Eduardo Marques Vieira Pereira Universidade Estadual de Campinas – Unicamp, Faculdade de Engenharia Civil, Arquitetura e Urbanismo, Departamento de Estruturas, Campinas, SP, Brasil https://orcid.org/0000-0003-0436-9676
  • Isabela Durci Rodrigues Universidade de São Paulo – USP, Escola de Engenharia de São Carlos, Departamento de Estruturas, São Carlos, SP, Brasil https://orcid.org/0000-0003-2035-9670
  • Luiz Carlos Marcos Viera Júnior Universidade Estadual de Campinas – Unicamp, Faculdade de Engenharia Civil, Arquitetura e Urbanismo, Departamento de Estruturas, Campinas, SP, Brasil https://orcid.org/0000-0002-0994-3473
  • Jamie Ellen Padgett Rice University – Department of Civil and Environmental Engineering, Houston, Texas, United States https://orcid.org/0000-0002-7484-2871
  • Gustavo Henrique Siqueira Universidade Estadual de Campinas – Unicamp, Faculdade de Engenharia Civil, Arquitetura e Urbanismo, Departamento de Estruturas, Campinas, SP, Brasil https://orcid.org/0000-0002-2416-1701

DOI:

https://doi.org/10.1590/1679-78257062

Abstract

This paper presents a seismic fragility assessment of bridges commonly found in Northeastern Brazil. A generic three-dimensional nonlinear finite-element model is generated in OpenSees to enable variation of geometric features and component modeling. A parametric analysis is performed to evaluate the impact of the geometric and physical variations of the bridge inventory on the seismic behavior of the structures. Nonlinear time-history analyses using four sets of natural earthquake records are performed to obtain the Probabilistic Seismic Demand Model for the bridges. Capacity models are adopted according to previous studies to be combined with demand models to generate fragility functions. This article helps the decision markers to predict the seismic behavior of typical bridges in Northeastern Brazil, which enables the evaluation of risk mitigation methods.

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Published

2022-07-26

Issue

Vol. 19 No. 5 (2022)

Section

Articles

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