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Corrosion and Seismic Analyses of Reinforced Concrete Bridges.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Corrosion and Seismic Analyses of Reinforced Concrete Bridges./
作者:
Wang, Hanmin.
面頁冊數:
1 online resource (190 pages)
附註:
Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Contained By:
Dissertations Abstracts International83-09B.
標題:
Civil engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28963803click for full text (PQDT)
ISBN:
9798790655159
Corrosion and Seismic Analyses of Reinforced Concrete Bridges.
Wang, Hanmin.
Corrosion and Seismic Analyses of Reinforced Concrete Bridges.
- 1 online resource (190 pages)
Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
Thesis (Ph.D.)--State University of New York at Buffalo, 2022.
Includes bibliographical references
This dissertation focuses on the long-term behavior of RC highway bridge piers exposed to corrosion and seismic events. The specific objectives are: (1) Present a systematic framework for analyzing RC bridge piers subjected to corrosion deterioration and earthquake, and utilize the framework to investigate the improvement in fragility functions of RC piers due to improved durability of the cover material; (2) Incorporate local environmental conditions and vehicle spray and splash mechanisms into a corrosion model for improved bridge durability assessment; and (3) Calibrate the developed corrosion model using field-based bridge assessment data.For objective (1), a systematic framework comprising of a corrosion model and a structural model was presented for RC bridge piers. The corrosion model was used to estimate concrete cracking and reinforcement area loss as functions of time, which were used in the structural model for obtaining seismic fragility functions of RC bridge piers at discrete time points during their service lives. The corrosion model accounted for pitting corrosion and the influence of cover cracking on the corrosion rate. The influence of using a ductile fiber-reinforced concrete (FRC) for cover of RC bridge piers on seismic fragility functions was investigated. Results showed that corrosion could have a significant impact on the seismic fragility functions for RC bridge piers. The improvement in durability of the RC bridge pier enabled by FRC cover translated into a lower probability of seismic damage over time. A parametric study showed that the pre-crack corrosion rate and longitudinal reinforcement ratio were the most influential parameters for the example pier fragility functions, whereas corrosion initiation time and cover thickness had negligible effects within the domains investigated in this study. The framework was further applied to evaluate eight bridges from Washington State Department of Transportation to demonstrate its use of the framework on a bridge inventory. The results showed that although corrosion deterioration affected all bridges in the group, some bridges could become more vulnerable to seismic damage over time due to exposure conditions and pier configurations. For objective (2), the developed corrosion model was improved by proposing a new method for estimating chloride exposure (and thereby corrosion susceptibility) of bridges individually based on unique local characteristics of the distance between roadside and structure, snow precipitation, salt application, and traffic patterns. This method correctly differentiated between bridges with high and low chloride exposure, and thus removed the need for assuming the same chloride exposure for all bridges in the same region (the current practice).To achieve objective (3), a novel method is proposed for linking the physics-based corrosion model to field-based condition assessments. Corrosion-model predictions (i.e., surface crack width and concrete spalling) and deterioration curves, based on bridge element condition ratings, were correlated based on transportation agency guidelines. To demonstrate the process of calibrating the input parameters of the corrosion model, crack widths and areas of spalling from deterioration curves and the physics-based corrosion model were compared for an RC bridge. Input parameter ranges that lead to a match between the corrosion model and field data predictions were identified.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798790655159Subjects--Topical Terms:
860360
Civil engineering.
Subjects--Index Terms:
BridgesIndex Terms--Genre/Form:
542853
Electronic books.
Corrosion and Seismic Analyses of Reinforced Concrete Bridges.
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Source: Dissertations Abstracts International, Volume: 83-09, Section: B.
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Advisor: Ranade, Ravi; Okumus, Pinar.
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Includes bibliographical references
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This dissertation focuses on the long-term behavior of RC highway bridge piers exposed to corrosion and seismic events. The specific objectives are: (1) Present a systematic framework for analyzing RC bridge piers subjected to corrosion deterioration and earthquake, and utilize the framework to investigate the improvement in fragility functions of RC piers due to improved durability of the cover material; (2) Incorporate local environmental conditions and vehicle spray and splash mechanisms into a corrosion model for improved bridge durability assessment; and (3) Calibrate the developed corrosion model using field-based bridge assessment data.For objective (1), a systematic framework comprising of a corrosion model and a structural model was presented for RC bridge piers. The corrosion model was used to estimate concrete cracking and reinforcement area loss as functions of time, which were used in the structural model for obtaining seismic fragility functions of RC bridge piers at discrete time points during their service lives. The corrosion model accounted for pitting corrosion and the influence of cover cracking on the corrosion rate. The influence of using a ductile fiber-reinforced concrete (FRC) for cover of RC bridge piers on seismic fragility functions was investigated. Results showed that corrosion could have a significant impact on the seismic fragility functions for RC bridge piers. The improvement in durability of the RC bridge pier enabled by FRC cover translated into a lower probability of seismic damage over time. A parametric study showed that the pre-crack corrosion rate and longitudinal reinforcement ratio were the most influential parameters for the example pier fragility functions, whereas corrosion initiation time and cover thickness had negligible effects within the domains investigated in this study. The framework was further applied to evaluate eight bridges from Washington State Department of Transportation to demonstrate its use of the framework on a bridge inventory. The results showed that although corrosion deterioration affected all bridges in the group, some bridges could become more vulnerable to seismic damage over time due to exposure conditions and pier configurations. For objective (2), the developed corrosion model was improved by proposing a new method for estimating chloride exposure (and thereby corrosion susceptibility) of bridges individually based on unique local characteristics of the distance between roadside and structure, snow precipitation, salt application, and traffic patterns. This method correctly differentiated between bridges with high and low chloride exposure, and thus removed the need for assuming the same chloride exposure for all bridges in the same region (the current practice).To achieve objective (3), a novel method is proposed for linking the physics-based corrosion model to field-based condition assessments. Corrosion-model predictions (i.e., surface crack width and concrete spalling) and deterioration curves, based on bridge element condition ratings, were correlated based on transportation agency guidelines. To demonstrate the process of calibrating the input parameters of the corrosion model, crack widths and areas of spalling from deterioration curves and the physics-based corrosion model were compared for an RC bridge. Input parameter ranges that lead to a match between the corrosion model and field data predictions were identified.
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