Image processing, analysis, and management tools for gusset plate connections in steel truss bridges.

Details

• Creators:
  Higgins, Christopher ; Gillins, Daniel T. ; Scott, Michael ; Todorovic, Sinisa ; Javadnejad, Farid ; Varakantham, Shravya
• Corporate Creators:
  Oregon State University. School of Civil and Construction Engineering
• Corporate Contributors:
  Transportation Pooled Fund Program ; Oregon State Highway Division. Research Section ; United States. Federal Highway Administration
• Subject/TRT Terms:
  • Gusset plates
  • Truss bridges
  • Steel bridges
  • Image processing Gusset Plates
  • Steel Truss Bridges
  • Image Processing
  • finite
  • element analysis
  • Geographic Information Systems
• Publication/ Report Number:
  FHWA-OR-RD-17-01
• Resource Type:
  Tech Report
• Geographical Coverage:
  Oregon
• Corporate Publisher:
  Transportation Pooled Fund Program
• Abstract:
  This report details the research undertaken and software tools that were developed that enable digital ; images of gusset plates to be converted into orthophotos, establish physical dimensions, collect ; geometric information from them, and conduct specification-based and nonlinear finite element ; analyses of the connections. A software package, GussetImageProcessing.jar, was written that allows ; the user to process the images, remove the perspective, establish scale, identify the gusset plate ; boundaries, identify and group fasteners to truss members, and collect the geometric information to ; conduct AASHTO-LRFR connection ratings on the processed digital images. A separate software ; package, zGusset.tcl, uses the open-source program OpenSees as the analysis engine and is used to ; perform non-linear finite element analysis of a gusset plate model. To organize and query the ; collection of large numbers of high-fidelity quantitative images, a new approach was developed using ; Geographic Information System (GIS) to link images spatially across various geometric scales, ; temporally across inspection intervals, and to associate relevant metadata to the image view.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31428/dot_31428_DS1.pdf
• File Type:
  [PDF - 7.40 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c1b00b7abb230afa4ea6e98b5f34cdc9f06a2e155df4e1f50b0ccbd9acd5c76be14010f514ab70c90387a61a0f7dce9a65f9a5ca459cbddf76b59e157cdd0b5b