Stockdale, G, Milani, G and Sarhosis, V orcid.org/0000-0002-8604-8659 (2021) Dynamic modelling structure of hinge-controlled masonry arches and 2D accelerations. International Journal of Masonry Research and Innovation, 6 (3). pp. 255-284. ISSN 2056-9459
Abstract
Engineering efficiency is paramount for the introduction of novel systems and formats of analysis. This work extends an accessible and efficient analysis platform by combining the kinematic equilibrium approach of limit analysis with the single degree of freedom nature of a hinge-controlled masonry arch to perform dynamic modelling of applied two-dimensional acceleration vectors. Utilising ideal conditions, minimum work-paths are formulated to describe the work required to drive the arch to collapse. Then, assuming conservative work allows the formation of a spatial description of kinetic energy, and ultimately the establishment of the time domain for constant 2D accelerations. A dynamic time incremental analysis structure is then formulated based upon the assumption of constant acceleration for each time step. This dynamic model propagates the centroid displacement and kinetic energy through an applied acceleration sequence. Lastly, the dynamic model under ideal conditions is tested for validity through half-cycle collapse domain benchmark and the conservation of energy.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Inderscience Enterprises Ltd. This is an author produced version of an article published in International Journal of Masonry Research and Innovation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | near-real time analysis; dynamic analysis; kinematic collapse load calculator; KCLC; seismic analysis; masonry arch |
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: | 14 Oct 2021 10:17 |
Last Modified: | 14 May 2022 00:38 |
Status: | Published |
Publisher: | Inderscience |
Identification Number: | 10.1504/IJMRI.2021.116191 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179177 |