Seismic Design and Performance Assessment of Bridges with SMA-Restrained Rocking Columns

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dc.contributor.advisorDesRoches, Reginalden_US
dc.creatorAkbarnezhad, Milesen_US
dc.date.accessioned2023-08-09T15:19:05Zen_US
dc.date.created2023-05en_US
dc.date.issued2023-04-06en_US
dc.date.submittedMay 2023en_US
dc.date.updated2023-08-09T15:19:05Zen_US
dc.descriptionEMBARGO NOTE: This item is embargoed until 2025-05-01en_US
dc.description.abstractDuring the last three decades, multiple studies have been conducted to develop bridge columns that either sustain low damage or remain fully functional during moderate to strong earthquakes. Among such bridge columns, which are compatible with Accelerated Bridge Construction (ABC) and also offer self-centering, are precast concrete rocking columns. This dissertation intends to propose and evaluate an innovative class of seismically resilient precast concrete rocking columns using shape memory alloys (SMA). The proposed precast concrete bridge columns, which are termed SMA-restrained rocking (SRR) columns, are connected to their adjacent substructure components through two series of unbonded links, namely, SMA links (to achieve self-centering) and replaceable energy dissipation (ED) links. After introducing three SRR column design variations, a displacement-based procedure is proposed for their effective seismic design. To investigate the performance of the proposed columns under monotonic and cyclic lateral loading and to examine the effective ranges of two key design parameters, nonlinear 3D solid finite element (FE) models are used. Following the initial evaluations of SRR columns under monotonic/cyclic loading, the seismic performances of two reinforced concrete (RC) bridges with SRR columns are evaluated through multiple time history analyses. To examine the potential effects of ground motion characteristics, three ensembles of ground motions including far-field, near-fault without velocity pulse, and near-fault with velocity pulse are considered. In addition, the effects of ambient temperature on the behavior of SRR columns due to the thermomechanical properties of SMA links are studied. The analysis results show that the SRR columns' capability of sustaining damage is practically insensitive to site-to-source distance and velocity pulse content of ground motions and ambient temperature. In order to evaluate the seismic fragility of bridges with SRR columns, a two-span RC bridge is considered. To produce seismic fragility functions, initially, multi-parameter probabilistic seismic demand models (PSDMs) are generated through different machine learning techniques and considering various sources of uncertainty. Subsequently, multi-parameter fragility functions are developed for various bridge damage states using neural networks. After examining the effects of the two SRR column design parameters on the seismic fragility of the bridge, its seismic fragility is compared with those of the same bridge with monolithic RC and posttensioned (PT) rocking columns.en_US
dc.embargo.lift2025-05-01en_US
dc.embargo.terms2025-05-01en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationAkbarnezhad, Miles. "Seismic Design and Performance Assessment of Bridges with SMA-Restrained Rocking Columns." (2023) Diss., Rice University. https://hdl.handle.net/1911/115085.en_US
dc.identifier.urihttps://hdl.handle.net/1911/115085en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectRocking columnen_US
dc.subjectReinforced concrete bridgeen_US
dc.subjectShape memory alloyen_US
dc.subjectSeismic fragilityen_US
dc.subjectProbabilistic seismic demand modelen_US
dc.subjectMachine learningen_US
dc.subjectMachine learning interpretationen_US
dc.titleSeismic Design and Performance Assessment of Bridges with SMA-Restrained Rocking Columnsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentCivil and Environmental Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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