Dr Bartolomeo Panto bartolomeo.panto@durham.ac.uk
Assistant Professor
Dr Bartolomeo Panto bartolomeo.panto@durham.ac.uk
Assistant Professor
S. Grosman
L. Macorini
B.A. Izzuddin
The paper presents a novel effective macro-modelling approach for masonry arches and bridges under cyclic loading, including dynamic actions induced by earthquakes. It utilises an anisotropic material model with embedded discontinuities to represent masonry nonlinearities. Realistic numerical simulations of masonry arch bridges under static and dynamic loading require accurate models representing the anisotropic nature of masonry and material nonlinearity due to opening and closure of tensile cracks and shear sliding along mortar joints. The proposed 3D modelling approach allows for masonry bond via simple calibration, and enables the representation of tensile cracking, crushing and shear damage in the brickwork. A two-scale representation is adopted, where 3D continuum elements at the structural scale are linked to embedded nonlinear interfaces representing the meso-structure of the material. The potential and accuracy of the proposed approach are shown in numerical examples and comparisons against physical experiments on masonry arches and bridges under cyclic static and dynamic loading.
Pantò, B., Grosman, S., Macorini, L., & Izzuddin, B. (2022). A macro-modelling continuum approach with embedded discontinuities for the assessment of masonry arch bridges under earthquake loading. Engineering Structures, 269, https://doi.org/10.1016/j.engstruct.2022.114722
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 22, 2022 |
Online Publication Date | Aug 20, 2022 |
Publication Date | 2022-10 |
Deposit Date | Sep 6, 2022 |
Publicly Available Date | Sep 6, 2022 |
Journal | Engineering Structures |
Print ISSN | 0141-0296 |
Electronic ISSN | 1873-7323 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 269 |
DOI | https://doi.org/10.1016/j.engstruct.2022.114722 |
Public URL | https://durham-repository.worktribe.com/output/1192053 |
Published Journal Article
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
UKACM Proceedings 2024
(2024)
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