2019
DOI: 10.1016/j.compstruc.2019.106108
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A discrete approach for modelling backfill material in masonry arch bridges

Abstract: Masonry arch bridges form a significant portion of the European transport infrastructure network. Many of these bridges are relatively old but still in service. Increasing vehicle loads and speeds have highlighted the need for reliable estimates of their service condition. Past research demonstrated that load-carrying capacity of a masonry arch bridge is a function of the soil response. However, today, the approaches used for the simulation of soil in masonry arch bridges are over-simplistic and most of them d… Show more

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Cited by 55 publications
(17 citation statements)
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“…The first possibility is a micro-modeling approach and consists in modeling a masonry element by means of distinct blocks and joints, represented by face-to-face contacts through assigned contact points. The blocks can be rigid or, in more refined analyses, deformable [37][38][39]. In the second case, the DEM model solves the problem in large displacements for the joints and small deformations for the blocks.…”
Section: Dem CM and Decm Approaches To Model The Continuummentioning
confidence: 99%
“…The first possibility is a micro-modeling approach and consists in modeling a masonry element by means of distinct blocks and joints, represented by face-to-face contacts through assigned contact points. The blocks can be rigid or, in more refined analyses, deformable [37][38][39]. In the second case, the DEM model solves the problem in large displacements for the joints and small deformations for the blocks.…”
Section: Dem CM and Decm Approaches To Model The Continuummentioning
confidence: 99%
“…The FEM calibration carried out in the previous section is extended to the case of the well-known Prestwood bridge, for which experimental data from a destructive test is available (see Figure 7A). First, using the ultimate experimental load and previous numerical analyzes developed by other authors (Cavicchi and Gambarotta, 2005;Sarhosis et al, 2019) a FEM of the original structure, was performed. Subsequently, a second model, in which a layer of FRP is applied at the arch intrados, was developed using the analysis strategy and the bond-slip law previously calibrated.…”
Section: Masonry Arch Bridge: Prestwood Bridgementioning
confidence: 99%
“…With this need in mind, in recent years, different calculation methods and guidelines (e.g., UIC guideline) 1 for the evaluation of the ultimate (ULS) and serviceability limit states (SLS) of masonry bridges have been developed. Among the available methods for the structural analysis of masonry bridges, it is possible to find: simplified methods (Zhang et al, 2018), numerical method for assess the seismic capacity (Pelà et al, 2013;Zampieri et al, 2014Zampieri et al, , 2015aSarhosis et al, 2016;Mahmoudi Moazam et al, 2018;Marefat et al, 2019), methods based on the limit analysis (Basilio et al, 2014;Chiozzi et al, 2017;Bertolesi et al, 2018), analysis strategies able to take into account the settlement of the supports (Galassi et al, 2018a,b;Zampieri et al, 2018aZampieri et al, ,b, 2019 or geometry uncertainties (Cavalagli et al, 2017), macro-element models (Cannizzaro et al, 2018;D'Altri et al, 2019), and methods based on finite element modeling (FEM) (Brencich and Sabia, 2008;Costa et al, 2016;Scozzese et al, 2019), discrete element modeling (DEM) (Sarhosis et al, 2016(Sarhosis et al, , 2019Forgács et al, 2017Forgács et al, , 2018Stockdale et al, 2019) or a combination of both (Milani and Lourenço, 2012).…”
Section: Introductionmentioning
confidence: 99%
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“…The first possibility is a micro-modeling approach and consists in modeling a masonry element by means of distinct blocks and joints, represented by face-to-face contacts through assigned contact points. The blocks can be rigid or, in more refined analyses, deformable [32][33][34]. In the second case, the DEM model solves the problem in large displacements for the joints and small deformations for the blocks.…”
Section: Introductionmentioning
confidence: 99%