Prediction and Prevention of Bridge Performance Degradation Due to Corrosion, Material Loss, and Microstructural Changes

Frame, Lesley; Kim, Donghyun; Small, Sean; Mekala, Krupa

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Prediction and Prevention of Bridge Performance Degradation Due to Corrosion, Material Loss, and Microstructural Changes

2025-09-30
By Frame, Lesley ; Kim, Donghyun ; Small, Sean ; ...

File Language:

English

Details

Creators:

Frame, Lesley ; Kim, Donghyun ; Small, Sean ; Mekala, Krupa
Corporate Creators:

University of Connecticut ; University of Maine. Transportation Infrastructure Durability Center (TIDC)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

A7 Steel A36 Steel A588 Steel Asset Management Atmospheric Corrosion Bridge Management Systems Bridge Performance Bridge Steel Corrosion Corrosion Data Collection Degradation Failures Laboratory Tests Material Resilience Sand Blasting Strength Of Materials Structural Strengthening
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report
Corporate Publisher:

University of Maine. Transportation Infrastructure Durability Center (TIDC)
Abstract:

The sponsored research merges materials science and engineering methods for corrosion science with structural engineering approaches to bridge inspection and assessment to generate and implement a corrosion prediction model for bridge inspection and asset management systems. We built on prior work identifying the progression of corrosion as a function of local chloride ion concentration ([Cl-]). The project includes lab-based objectives that establish thresholds of local [Cl-] for corrosion formation and impacts of galvanic coupling, sandblast cleaning, and Zn-based coating systems on corrosion rates. Through accelerated corrosion testing, polarization testing, and characterization of samples, a corrosion prediction model will be built for field-use. Field-based objectives included comparison of lab-based data to field collected samples. The project is highly relevant to New England bridges where chlorine exposure from water and de-icing salts are common.
Format:

PDF
Funding:

69A3551847101
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:ffa1d3834fd4456daed8d6e786e3c1e03835617cfdf35e484fa205d2cc9dec4801ea42f9bc6ddc16619c41835b768728b96adce2b3569fde22167a732d8e8d9c
Download URL:

https://rosap.ntl.bts.gov/view/dot/89002/dot_89002_DS1.pdf
File Type:

[PDF - 4.40 MB ]

File Language:

English

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