Test Methods and Bond Performance Characterization of Shotcrete-Concrete Interface

Details

• Creators:
  Wen, Haifang ; Qiao, Pizhong ; Manawadu, Ayumi K
• Corporate Creators:
  Washington State University. Department of Civil and Environmental Engineering ; Washington State University. National Center for Transportation Infrastructure Durability & Life Extension (TriDurLE) UTC
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Bond strength (Materials)
  • Concrete structures
  • Retaining walls
  • Shotcrete
  • Standardization
  • Test procedures
  • Surface preparation
  • Substrate to overlay
• Publication/ Report Number:
  2020-WSU-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Washington State University. National Center for Transportation Infrastructure Durability & Life Extension (TriDurLE) UTC
• Abstract:
  Shotcrete is becoming popular for vertical and overhead applications where conventional formwork and repairs are difficult and costly. However, the substrate and the shotcrete overlay interface can be vulnerable, and the bond properties in this region are not well understood. Furthermore, the interface bond could be adversely affected by long-term freeze-thaw weathering in northern states leading to debonding from the existing substrate and corrosion of rebars. Hence, characterization of the shotcrete-substrate interface bonds is critical for the performance evaluation of shotcrete construction. To this goal, this study evaluated the shotcrete-concrete interface bond using four representative substrate surface preparation methods: chipped, pressure-washed, sandblasted, and as-cast, under three different loading conditions: tensile, shear, and Mode-II fracture. The study also investigated the long-term freeze-thaw durability of these bonds and introduced a probabilistic damage model to predict their service lives.
• Format:
  PDF
• Funding:
  ORSO 135461
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/68698/dot_68698_DS1.pdf
• File Type:
  [PDF - 5.18 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha256:98ed73a6be1d5fed5ae137026b49258b403ee4bd1228c4d4accee02011b94471