Developed Predictive Design Equations for Drilled Shaft Capacities for Various Rock Formations by Conducting Site Investigation and Load Test

Hosam Salman, Anand J. Puppala, Bhaskar C.S. Chittoori

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Engineering strength properties of various rock formations vary significantly, and the data is typically scattered. Graphical and statistical measures are beneficial in summarizing and understanding such scatter and variation in strength properties. These techniques were used to predict rock engineering parameters, parameter distribution, and best-fit correlations among the parameters. The main objective of this study is to develop new design charts and prediction equations for various geologic formations to be used for drilled shaft design and rock strength property determination. In order to develop the regression equations, two databases were collected from 22 projects consisting of site investigation database and load test database. These projects included four geologic formations: shale, woodbine shale, woodbine sandstone, and limestone. Each geologic formation dataset was then subdivided into three types of classifications based on Federal Highway Administration (FHWA) s rock classification system that uses unconfined compressive strength (Qun) and rock quality designation (RQD). After that, the database was subdivided further into sub-datasets, according to the level of weathering: hard or fresh, moderately weathered, or weathered. This paper discussed the statistical analyses and regressions for the field and laboratory parameters. Numerical and regression modelling of the rock properties and strength were considered to develop numerous equations for rock properties, strength, and drilled shaft bearing capacities, as well as equations for predicting TCP, Qun, skin friction, and end bearing for various geologic formations.

Original languageEnglish
Title of host publicationGeotechnical Special Publication
EditorsDiane M. Moug
Pages35-50
Number of pages16
EditionGSP 354
ISBN (Electronic)9780784485408, 9780784485415
DOIs
StatePublished - 2024
Event2024 International Foundations Congress and Equipment Expo: Drilled and Driven Foundations and Innovative and Emerging Approaches for Foundation Engineering, IFCEE 2024 - Dallas, United States
Duration: 7 May 202410 May 2024

Publication series

NameGeotechnical Special Publication
NumberGSP 354
Volume2024-May
ISSN (Print)0895-0563

Conference

Conference2024 International Foundations Congress and Equipment Expo: Drilled and Driven Foundations and Innovative and Emerging Approaches for Foundation Engineering, IFCEE 2024
Country/TerritoryUnited States
CityDallas
Period7/05/2410/05/24

Keywords

  • and Texas.
  • Bi-Directional Load Cell Testing
  • Correlations
  • Database
  • Drilled Shafts
  • Intermediate Geomaterials (IGM)
  • Limestone; Sandstone
  • Osterberg load test
  • Regressions
  • Rock
  • Shale
  • Site Investigation
  • Statnamic
  • Texas Cone Penetrometer (TCP)

Fingerprint

Dive into the research topics of 'Developed Predictive Design Equations for Drilled Shaft Capacities for Various Rock Formations by Conducting Site Investigation and Load Test'. Together they form a unique fingerprint.

Cite this