Sarhosis, V orcid.org/0000-0002-8604-8659, Forgács, T and Lemos, JV (2019) Modelling backfill in masonry arch bridges: A DEM approach. In: Arêde, A and Costa, C, (eds.) Proceedings of ARCH 2019. ARCH 2019– 9th International Conference on Arch Bridges, 02-04 Oct 2019, Porto, Portugal. Springer , Cham, Switzerland , pp. 178-184. ISBN 978-3-030-29226-3
Abstract
In this paper, a novel modelling approach based on the discrete element method for the simulation of backfill material in masonry arch bridges has been proposed. According to the method, bricks in the barrel vault are represented as an assembly of distinct blocks separated by zero thickness interfaces at each mortar joint while backfill is represented as an assemblage of densely packed discrete irregular deformable particles. A series of computational models were developed and their results are compared against full scale experimental test results. A good agreement between the experimental and the numerical results was obtained which demonstrates the huge potential of this novel modelling approach proposed. One of the major advantages of this approach is the potential to simulate the initiation and propagation of cracking in the backfill and arch ring as a result of the application of the external load.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Nature Switzerland AG 2020, corrected publication 2020. This is an author produced version of a book chapter published in Proceedings of ARCH 2019: 9th International Conference on Arch Bridges (Structural Integrity). Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Masonry arch bridges; Backfill; Numerical modelling; DEM |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Sep 2019 13:58 |
Last Modified: | 30 Sep 2020 00:38 |
Published Version: | https://www.springer.com/gp/book/9783030292263 |
Status: | Published |
Publisher: | Springer |
Identification Number: | 10.1007/978-3-030-29227-0_16 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149960 |