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February 21, 2026Procedia Structural Integrity0 citationsOpen Access

Efficient nonlinear seismic modelling of masonry arch bridges using calibrated simplified FE models

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GUGiuseppina UvaLRLuigi Salvatore RainoneLSLuís Martins da Silva

Key Points

  • The study aims to develop a reliable numerical strategy for assessing the seismic response of masonry arch bridges.
  • Developed two modelling approaches: a detailed solid model and a simplified Shell-Box Model (SBM)
  • Utilized Concrete Damage Plasticity (CDP) to capture non-linear behavior
  • Calibrated the SBM against the solid model based on modal characteristics
  • Conducted nonlinear analyses to assess structural performance
  • Achieved over 99% reduction in computational effort with the SBM
  • Demonstrated that the SBM effectively reproduces significant structural response features
  • Validated numerical simulations with experimental data from the case study bridge

Abstract

The structural assessment of masonry arch bridges is often hindered by uncertainties related to geometry, materials, and loading conditions, particularly under seismic actions. This study proposes a modelling strategy that enables advanced numerical analysis of such structures through the calibration of a simplified finite element model. As a case study, the San Marcello Pistoiese bridge in Italy has been selected, for which an extensive prior documentation and literature studies were available, including laboratory testing and dynamic identification, which enables the validation of numerical simulations against experimental data. For the case study, two models are developed: a detailed three-dimensional solid model and a reduced shell-based model referred to as the Shell-Box Model (SBM). Both models implement the Concrete Damage Plasticity (CDP) approach to capture the non-linear behavior of masonry materials. The Shell-Box Model, once calibrated against the solid model with the regard to the modal characteristics, has been used to perform nonlinear analyses, demonstrating a good capability of reproducing the significant structural response features, including capacity curves and damage maps - while reducing computational effort by over 99%. This makes the simplified model particularly suitable for large-scale parametric analyses aimed at uncertainty management.

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Cite This Study

Uva et al. (2026) studied this question.

synapsesocial.com/papers/69994a7f873532290d01ef4ahttps://doi.org/10.1016/j.prostr.2025.12.134
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