Development of variable LRFD φ factors for deep foundation design due to site variability.
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2012-04-01
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Subject/TRT Terms:
- Load factor
- Foundation engineering
- Design practices
- Surveying
- Location
- Resistance (Mechanics)
- Piers (Supports)
- Soil structure
- Soils
- Soil compaction
- Soil mechanics
- Geotechnical engineering
- Rocks
- Pile foundations
- Shaft sinking
- Excavation
- Load factor
- Foundation engineering
- Design practices
- Surveying
- Location
- Resistance (Mechanics)
- Piers (Supports)
- Soil structure
- Soils
- Soil compaction
- Soil mechanics
- Geotechnical engineering
- Rocks
- Pile foundations
- Shaft sinking
- Excavation
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Edition:Final report; 9/1/10-5/1/12.
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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.
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Main Document Checksum:urn:sha256:7d2cb0a786dcd0efa49a2365468056d57521ddcbd93af25f5cf385af508fb2fb