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Access Type

WSU Access

Date of Award

January 2020

Degree Type

Dissertation

Degree Name

Ph.D.

Department

Civil and Environmental Engineering

First Advisor

Christopher Eamon

Abstract

Bridge - girder deterioration model is formed based on diffusivity process, corrosion development, and cracks propagation. The chloride diffusivity is studied based on previous researches’ experimental work while corrosion penetration is analyzed based on mathematical model. Corrosion products cause cracks then spalling. Therefore, in the few decades, the utilize of fiber-reinforced polymer (FRP) materials to strengthen highway bridges has obtained in popularity. sensible cost, speed and ease of installation, and limited disruption of the use of the structure have shared to the adoption of FRP systems over other strengthening options. In order to reduce the corrosion with the bridge deterioration. Fiber Reinforced Polymer (FRP) is one of the top solutions to reduce corrosion and strengthen bridge - girders, by placing FRP on the side(s) of the reinforced concrete beam and reduce the influence of chloride diffusivity through reinforced concrete. Thus, the deterioration with reinforced concrete based on corrosion with section warped with FRP is less than with the corrosion of reinforced concrete section unwrapped with FRP.

The objective of this study is to develop a reliability - deterioration model based on corrosion in steel, concrete cover spalling, and FRP debonding.

The reliability is reduced due to two independent deterioration factors that developed simultaneously with Life Cycle Time (LCT). The corrosion in steel rebar is the first deterioration factor that causes reduction in flexural moment capacity, and spalling. Moreover, the second deterioration factor is the surrounded environment that may causes FRP debonding.

Monti Carlo Simulation (MCS) of reliability-based deterioration model is programmed and used in order to compute failure probability by using FORTRAN 90 to analyze the bridge – girder model including all design parameters.

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