Details:

Creators:
McVay, Michael C. ; Klammler, Harald ; Faraone, Michael A. ; Dase, Krishnarao ; Jenneisch, Chris
McVay, Michael C. ; Klammler, Harald ; Faraone, Michael A. ; Dase, Krishnarao ; Jenneisch, Chris Less -
Corporate Creators:
University of Florida. Dept. of Civil and Coastal Engineering
Corporate Contributors:
Florida. Dept. of Transportation ; United States. Federal Highway Administration
Florida. Dept. of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:
[+]
Design Practices Excavation Foundation Engineering Geotechnical Engineering Load Factor Location Piers (Supports) Pile Foundations Resistance (Mechanics) Rocks Shaft Sinking Soil Compaction Soil Mechanics Soils Soil Structure Surveying
Resource Type:
Tech Report
Geographical Coverage:
Florida
Edition:
Final report; 9/1/10-5/1/12.
Corporate Publisher:
Florida. Dept. of Transportation
NTL Classification:
NTL-HIGHWAY/ROAD TRANSPORTATION-Bridges and StructuresNTL-HIGHWAY/ROAD TRANSPORTATION-Soils and Geology
Abstract:
The current design guidelines of Load and Resistance Factor Design (LRFD) specifies constant values

for deep foundation design, based on analytical method selected and degree of redundancy of the pier.

However, investigation of multiple sites in Florida reveals significant variability of soil/rock properties from

site to site (costal conditions) suggesting the introduction of variable values based on reliability-based design

approach. Building on previous work (BD545-76) a geostatistical (variograms) approach was developed to

quantify the spatial uncertainty for site specific conditions. As a result, values are evaluated due to both a

site’s measured spatial uncertainty and error associated with a particular analytical method.

This report summarizes subsequent efforts to further expand the applicability of the reliability design to the

analytical models currently available in the FB-DEEP software program. For the geostatistical analysis, a

simple yet robust graphical user interface (GUI) was developed, which considers two design scenarios: 1)

conditioning to nearby boring data, and 2) unconditional mean site data. For either scenario the GUI generates

thousands of potential data sets, which are evaluated by FB-DEEP to asses mean pile/shaft resistance and

spatial uncertainty at a pier location. Spatial uncertainty is then combined with the design method error

associated with the selected FB-DEEP model to asses . For demonstration of the application of the GUI,

standard penetration test (SPT) and laboratory strength data were collected from seven FDOT projects and

subsequent values were evaluated. The values ranged from 0.3 to 0.7 depending upon amount of

subsurface data, measure summary statistics, and degree of spatial correlation. The report concludes with

recommendations (in situ measurements, load testing, etc.) on improving the computed on a site-by-site basis.


Format:
PDF
Funding:
BDK75 977-23
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:7d2cb0a786dcd0efa49a2365468056d57521ddcbd93af25f5cf385af508fb2fb
Download URL:
https://rosap.ntl.bts.gov/view/dot/24474/dot_24474_DS1.pdf
File Type:

Supporting Files

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