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  5. A hybrid macro-modelling strategy with multi-objective calibration for accurate simulation of multi-ring masonry arches and bridges
 
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A hybrid macro-modelling strategy with multi-objective calibration for accurate simulation of multi-ring masonry arches and bridges
File(s)
A hybrid macro-modelling strategy with multi-objective calibration for accurate simulation of multi-ring masonry arches and bridges - C&S 02:22.pdf (10.48 MB)
Accepted version
Author(s)
Pantò, Bartolomeo
Chisari, Corrado
Macorini, Lorenzo
Izzuddin, Bassam A
Type
Journal Article
Abstract
This paper presents an efficient hybrid continuum-discrete macro-modelling strategy with an enhanced multiscale calibration procedure for realistic simulations of brick/block-masonry bridges. The response of these structures is affected by the intrinsic nonlinearity of the masonry material, which in turn depends upon the mechanical properties of units and mortar joints and the bond characteristics. Finite element approaches based upon homogenised representations are widely employed to assess the nonlinear behaviour up to collapse, as they are generally associated with a limited computational demand. However, such models require an accurate calibration of model material parameters to properly allow for masonry bond. According to the proposed approach, the macroscale material parameters are determined by an advanced multi-objective strategy with genetic algorithms from the results of mesoscale “virtual” tests through the minimisation of appropriate functionals of the scale transition error. The developed continuum-discrete finite element macroscale description and the calibration procedure are applied to simulate the nonlinear behaviour up to collapse of multi-ring arch-bridge specimens focusing on the 2D planar response. The results obtained are compared to those achieved using detailed mesoscale models confirming the effectiveness and accuracy of the proposed approach for realistic nonlinear simulations of masonry arch bridges.
Date Issued
2022-06-01
Date Acceptance
2022-02-09
Citation
Computers & Structures, 2022, 265
URI
http://hdl.handle.net/10044/1/95747
DOI
https://www.dx.doi.org/10.1016/j.compstruc.2022.106769
ISSN
0045-7949
Publisher
Elsevier BV
Journal / Book Title
Computers & Structures
Volume
265
Copyright Statement
© 2022 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
License URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Engineering & Physical Science Research Council (E
Grant Number
846061
EP/T001607/1
Subjects
Applied Mathematics
09 Engineering
Publication Status
Published
Article Number
ARTN 106769
Date Publish Online
2022-03-08
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