Title:
Advanced Seismic Risk Assessment of California Box-Girder Bridges Using Emerging Modeling Techniques and Innovative Risk Models

dc.contributor.advisor DesRoches, Reginald
dc.contributor.advisor Yang, Chuang-Sheng Walter
dc.contributor.author Zheng, Qiu
dc.contributor.committeeMember Wang, Yang
dc.contributor.committeeMember Muhanna, Rafi L.
dc.contributor.committeeMember Goldsman, David
dc.contributor.department Civil and Environmental Engineering
dc.date.accessioned 2022-01-14T16:14:05Z
dc.date.available 2022-01-14T16:14:05Z
dc.date.created 2021-12
dc.date.issued 2021-12-17
dc.date.submitted December 2021
dc.date.updated 2022-01-14T16:14:06Z
dc.description.abstract Seismic fragility models depict the structural failure probability under earthquakes and play an essential role in planning mitigation strategies for, and prioritizing emergency response after, a natural hazard. This dissertation concentrates on developing a new generation of seismic fragility models for select concrete box-girder bridges in California in terms of advanced numerical bridge models, comprehensive bridge component capacity models, and robust seismic risk analysis methodologies. The dissertation first introduces emerging modeling techniques that can improve the fidelity of numerical models. Most importantly, an abutment backwall fracture model is proposed to eliminate an enormous error due to excessive lateral supports from abutment foundations in conventional abutment models. In the aspect of capacity models, seven damage states for columns are established based on a newly developed column dataset with 198 laboratory tests. Next, appropriate geometrical and material uncertainties are identified and applied in the finite element bridge models. Furthermore, to ensure that the 352 virtual bridge realizations meet the design criteria in California, three sampling techniques are proposed to correlate different uncertainties. After acquiring seismic response demands of bridge components, several methods of establishing a probabilistic seismic demand model (PSDM), relating structural seismic demand and ground motion intensity measurement, are examined. A new method called modified multiple adaptive regression splines (M-MARS) is proposed to construct the PSDM. Following is the development of four-level fragility models, from low-level component fragilities to high-level system fragilities. Ultimately, conclusions are made based on the research findings and comparisons of results through a developed bridge grouping method.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/66185
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject California Highway Bridge
dc.subject Concrete
dc.subject Finite Element Modeling
dc.subject Capacity Model
dc.subject Fragility Analysis
dc.subject Seismic Risk Analysis
dc.title Advanced Seismic Risk Assessment of California Box-Girder Bridges Using Emerging Modeling Techniques and Innovative Risk Models
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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