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Seismic fragility curves of multi-span masonry arch bridges in Portugal

 Seismic fragility curves of multi-span masonry arch bridges in Portugal
Author(s): , , ,
Presented at IABSE Symposium: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches, Tokyo, Japan, 18-21 May 2025, published in , pp. 214-222
DOI: 10.2749/tokyo.2025.0214
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Many masonry arch bridges (MABs) operate in several railway networks in several European countries, where MABs are the most common bridge typology. In Portugal, MABs represent around 30% of the tot...
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Bibliographic Details

Author(s): (University of Minho, ISISE, ARISE, Guimarães, Portugal)
(University of Minho, ISISE, ARISE, Guimarães, Portugal)
(University of Minho, ISISE, ARISE, Guimarães, Portugal)
(Waseda University, Tokyo, Japan)
Medium: conference paper
Language(s): English
Conference: IABSE Symposium: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches, Tokyo, Japan, 18-21 May 2025
Published in:
Page(s): 214-222 Total no. of pages: 9
Page(s): 214-222
Total no. of pages: 9
Year: 2025
DOI: 10.2749/tokyo.2025.0214
Abstract:

Many masonry arch bridges (MABs) operate in several railway networks in several European countries, where MABs are the most common bridge typology. In Portugal, MABs represent around 30% of the total stock in the railway network. Their performance assessment is of utmost relevance to the management authorities. However, there is limited research regarding their seismic performance. Moreover, research has shown that the elevated computational cost associated with stochastic analyses is one of the main challenges for implementing stochastic-based assessments to larger sets of bridges. In the present research, fragility curves are derived for a subtype of MABs with similar geometrical parameters. Surrogate models were included to reduce the computational cost associated with the probabilistic analysis, including an adaptive sequential sampling for defining the training experimental design from parameter uncertainties of selected mechanical properties.

Keywords:
parameter uncertainties reliability analysis surrogate models Railway bridges
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