Assessment of Structural Steel Coating Applications
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2021-06-01
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Edition:Final Report April 7, 2020 – September 30, 2021
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Abstract:Research shows that even with the continuous development of coating technology, coating systems are still susceptible to deterioration and thus unable to provide protection for the long-term designed bridge service life. Recent advancement on data analytics offers an opportunity to leverage the wealth of historical data processed by State Departments of Transportation (DOTs) for improved understanding of coating premature failures. However, the coating-related data (e.g., coating condition data, coating application data) are stored in heterogeneous and unstructured formats (e.g., PDF) with limited data analytics capability. Therefore, better management of the data related to coating systems is needed. To address the need, this project focuses on developing a database system for steel bridge coating systems, which is able to integrate all the relevant but heterogeneous data and allows users to identify and correlate the factors that result in premature coating failures. Users can easily search for, add, edit, delete, or analyze coating-related data through the database. The database system can support more systematic data-driven analysis of coating premature failures, which will lead to new knowledge on factors that impact coating performance and potentially better practices that improve coating lifespans in the field.
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