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== Abstract ==

Masonry arches represent the most important structural components of masonry
arch bridges. Their response is strongly affected by material nonlinearity which is
associated with the masonry texture. For this reason, the use of mesoscale models,
where units and mortar joints are individually represented, enables accurate response
predictions under different loading conditions. However, these detailed models can be
very computationally demanding and unsuitable for practical assessments of large structures.
In this regard, the use of macro-models, based on simplified homogenised continuum
representations for masonry, can be preferable as it leads to a drastic reduction of the
computational burden. On the other hand, the latter modelling approach requires accurate
calibration of the model parameters to correctly allow for masonry bond. In the present
paper, a simplified macro-modelling strategy, particularly suitable for nonlinear analysis
of multi-ring brick-masonry arches, is proposed and validated. A numerical calibration
procedure, based on genetic algorithms, is used to evaluate the macro-model parameters
from the results of meso-scale “virtual” tests. The proposed macroscale description and the
calibration procedure are applied to simulate the nonlinear behaviour up to collapse of two
multi-ring arches previously tested in laboratory and then to predict the response of
masonry arches interacting with backfill material. The numerical results confirm the ability
of the proposed modelling strategy for masonry arches to predict the actual nonlinear
response and complex failure mechanisms, also induced by ring separation, with a reduced
computational cost compared to detailed mesoscale models.

== Full document ==
<pdf>Media:Draft_Content_253321065p1186.pdf</pdf>
== References ==

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Scipediacontent: Scipediacontent moved page Draft Content 253321065 to B. Panto 2021a

Scipediacontent: Created page with "== Abstract == Masonry arches represent the most important structural components of masonry arch bridges. Their response is strongly affected by material nonlineari..."