Interpretation of the Dynamic Response of a Masonry Arch Rail Viaduct Using Finite-Element Modeling
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Publication Date
2020-03Journal Title
Journal of Architectural Engineering
ISSN
1076-0431
Publisher
ASCE
Volume
26
Issue
1
Type
Article
This Version
AM
Metadata
Show full item recordCitation
Cocking, S., Acikgoz, S., & DeJong, M. (2020). Interpretation of the Dynamic Response of a Masonry Arch Rail Viaduct Using Finite-Element Modeling. Journal of Architectural Engineering, 26 (1)https://doi.org/10.1061/(ASCE)AE.1943-5568.0000369
Abstract
Linear-elastic finite-element analysis is sometimes used to assess masonry arch bridges under service loads, despite the limitations of this method. Specifically, linear-elastic analysis can be sensitive to material properties, geometry, and support settlements, while also allowing the development of tensile stresses that may be unrealistic for masonry structures. However, even though linear-elastic methods remain appealing for their simplicity, it is rare to evaluate their output against experimental data. In this paper, detailed strain and displacement monitoring data for a masonry arch viaduct are used to evaluate a series of independently developed linear-elastic simulations of this structure. Although uncertainties in input parameters mean the magnitude of modeling results cannot be presumed accurate, the simulated response
pattern was found to agree reasonably well with monitoring data in regions of low damage. However, more damaged regions produced
a markedly different local response. Comparisons between the simulations revealed useful conclusions regarding common modeling assumptions, namely the importance of modeling backing material, spandrels, and foundation stiffness, to capture their influence on the arch response.
Sponsorship
This work forms part of a PhD, which is funded through an EPSRC Doctoral Training Partnership (grant reference number EP/M506485/1). Data collection was made possible by the Cambridge Centre for Smart Infrastructure and Construction, through additional EPSRC funding (grant reference number EP/L010917/1).
Funder references
EPSRC (1730520)
EPSRC (EP/L010917/1)
EPSRC (EP/N021614/1)
EPSRC (EP/K000314/1)
EPSRC (EP/I019308/1)
EPSRC (EP/M506485/1)
Identifiers
External DOI: https://doi.org/10.1061/(ASCE)AE.1943-5568.0000369
This record's URL: https://www.repository.cam.ac.uk/handle/1810/298134
Rights
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