Geo-Statistical Deep Foundation Software [Final Report]

Details

• Creators:
  Davidson, Michael T. ; Rodgers, Michael B ; Consolazio, Gary R. ; Faraone, Michael A.
• Corporate Creators:
  University of Florida. Bridge Software Institute
• Contributors:
  Herrera, Rodrigo
• Corporate Contributors:
  Florida Department of Transportation
• Subject/TRT Terms:
  Axial Capacity Bridge Design Bridge Foundations Deep Foundation Design Geostatistics Method Error Pile Foundations Spatial Analysis Spatial Variability Statistical Analysis
• Resource Type:
  Tech Report
• Geographical Coverage:
  Florida ; United States
• Edition:
  Final Report 07/15/2021 - 01/15/2023
• Corporate Publisher:
  Florida Department of Transportation
• Abstract:
  When performing geotechnical design of bridge foundations, two sources of uncertainty that arise are spatial variability of soil (and rock) properties and bias intrinsic to empirical correlations (method error) that relate geotechnical site measurements to predictions of foundation member resistance. In current practice, spatial variability and method error are either largely neglected or considered indirectly using simplified assumptions. As a result, foundation members such as driven piles may be designed with non-uniform levels of conservatism. Further, foundation design and construction costs can be significant relative to those allocated for other bridge components. Adoption of design methodologies that directly account for spatial variability and method error phenomena can lead to increased uniformity in levels of conservatism associated with bridge foundation members. In turn, more appropriate costs may be allocated across various stages of the bridge design process. Previous FDOT research focused on analytical techniques for characterizing spatial correlations, regression expressions derived from load-test data versus resistance predictions, and development of a prototype Geo-statistical tool. Subsequently, the prototype tool was transitioned to a design-oriented software package. The current project was undertaken to enhance the design-oriented Geo-statistical analysis software, including (1) addition of analysis features for Cone Penetration Testing (CPT) data; (2) addition of analysis features for Measuring While Drilling (MWD) data; (3) quality assurance testing; (4) investigation of a technique to estimate radii of geological zones within a site; and, (5) development of technology transfer materials.
• Format:
  PDF
• Funding:
  BDV31-977-143
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:ede7bc1194092b03e85d9f06f4c846ac87d264ce1fd759cb51777ffb74a4f88d5c39bed8f0525292581c571d96f792899be3852aefdb22e498976e2ff5364c07
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/75137/dot_75137_DS1.pdf
• File Type:
  [PDF - 8.90 MB ]