Computationally-efficient high-fidelity nonlinear FEA of seismically isolated post-tensioned RC bridges

dc.contributor.authorMarkou, George
dc.contributor.authorAlHamaydeh, Mohammad
dc.date.accessioned2024-02-07T12:24:13Z
dc.date.issued2024-02
dc.descriptionDATA AVAILABILITY : All data are available from the corresponding author upon reasonable request.en_US
dc.description.abstractThis study presents a novel computationally efficient high-fidelity nonlinear FEA (NLFEA) methodology for prestressed RC bridges constructed in the UAE and seismically isolated with elastomeric bearings. Specifically, the presented NLFEA methodology, using 3D solid brick elements, is shown to overcome traditional prohibitive numerical burdens. This is demonstrated without compromising accuracy or upscaling applicability and appropriateness. The proposed NLFEA approach is highlighted through detailed modeling of RC bridges’ non-traditional structural components and loading aspects (elastomeric bearings and post-tension prestressing cables). The mechanical behavior of elastomeric isolators and the RC continua, including cracking and other nonlinear phenomena, are captured via 3D solid brick elements. Moreover, the modeling procedure accurately represents the post-tension tendons’ prestressing forces and the associated effects on the RC elements. The prestressing forces are incorporated within the tendon elements via insightful manipulations of stepwise initial conditions and internal force adjustments. Additionally, load-carrying capacity determination for the elastomeric bearings was achieved by conducting a parametric investigation to capture their mechanical behavior adequately. Eventually, the analysis of a full-scale bridge is presented in this paper. The post-tensioned RC bridge understudy spans 100 m over eight elastomeric (natural rubber) seismic isolator bearings. Twelve post-tension prestressing cables are utilized to provide the bridge with continuous internal tension-balancing forces. A high-fidelity detailed FEA model of the complete bridge is developed and validated against a SAP2000 FEA model. It is shown that reasonable computational efforts can be expected without compromising the accuracy of the results.en_US
dc.description.departmentCivil Engineeringen_US
dc.description.embargo2025-01-06
dc.description.librarianhj2024en_US
dc.description.sdgNoneen_US
dc.description.urihttps://www.elsevier.com/locate/structuresen_US
dc.identifier.citationMarkou, G. & AlHamaydeh, M. 2024, 'Computationally-efficient high-fidelity nonlinear FEA of seismically isolated post-tensioned RC bridges', Structures, vol. 60, art. 105816, pp. 1-20, doi : 10.1016/j.istruc.2023.105816.en_US
dc.identifier.issn2352-0124 (online)
dc.identifier.other10.1016/j.istruc.2023.105816
dc.identifier.urihttp://hdl.handle.net/2263/94373
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2023 Institution of Structural Engineers. Published by Elsevier Ltd. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Structures. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. A definitive version was subsequently published in Structures, vol. 60, art. 105816, pp. 1-20, doi : 10.1016/j.istruc.2023.105816.en_US
dc.subjectFull-scale bridge modelingen_US
dc.subjectSimulationen_US
dc.subjectPrestressingen_US
dc.subjectElastomeric bearingen_US
dc.subjectNonlinear analysis finite element analysis (NLFEA)en_US
dc.titleComputationally-efficient high-fidelity nonlinear FEA of seismically isolated post-tensioned RC bridgesen_US
dc.typePostprint Articleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Markou_ComputationallyEfficient_2024.pdf
Size:
2.01 MB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: