Assessment of Structural Steel Coating Applications

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 datadriven 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.

• Record URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-be935-rpt.pdf?sfvrsn=38f5389e_2
• 
• Summary URL:
  https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/research/reports/fdot-be935-sum.pdf?sfvrsn=8f3453ae_4
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/62600
• Supplemental Notes:
  • Cover date: September 2021.
• Corporate Authors:

  Florida International University, Miami

  10555 West Flagler Street
  Miami, FL  United States  33174

  Florida Department of Transportation

  605 Suwannee Street
  Tallahassee, FL  United States  32399-0450
• Authors:
  • Zhang, Lu
  • Lv, Xuan
  • Lau, Kingsley
  • Viswanathan, Subramanian
  • Li, Muyun
  • Gosain, Parasar
• Publication Date: 2021-6

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 115p

Subject/Index Terms

• TRT Terms: Coatings; Data management; Databases; Failure; Steel bridges
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Materials;

Filing Info

• Accession Number: 01849115
• Record Type: Publication
• Contract Numbers: BE 935
• Files: NTL, TRIS, ATRI, STATEDOT
• Created Date: Jun 22 2022 5:18PM