Laboratory Estimation of Rock Joint Stiffness and Frictional Parameters

Details

• Personal Author:
  He P ; Kulatilake PHSW ; Sherizadeh T ; Shreedharan S ; Shu B ; Xing Y
• Description:
  Numerical modeling of complex rock engineering problems involves the use of various input parameters which control usefulness of the output results. Hence, it is of utmost importance to select the right range of input physical and mechanical parameters based on laboratory or field estimation, and engineering judgment. Joint normal and shear stiffnesses are two popular input parameters to describe discontinuities in rock, which do not have specific guidelines for their estimation in literature. This study attempts to provide simple methods to estimate joint normal and shear stiffnesses in the laboratory using the uniaxial compression and small-scale direct shear tests. Samples have been prepared using rocks procured from different depths, geographical locations and formations. The study uses a mixture of relatively smooth natural joints and saw-cut joints in the various rock samples tested. The results indicate acceptable levels of uncertainty in the calculation of the stiffness parameters and provide a database of good first estimates and empirical relations which can be used for calculating values for joint stiffnesses when laboratory estimation is not possible. Joint basic friction angles have also been estimated as by-products in the small scale direct shear tests. [Description provided by NIOSH]
• Subjects:
  Laboratories Occupational Health Safety
• Keywords:
  Author Keywords: Joint Basic Friction Angle Compression Tests Geotechnical Engineering Joint Normal Stiffness Joint Shear Stiffness Laboratory Testing Normal Stress Rock Mechanics
• ISSN:
  0960-3182
• Document Type:
  Text
• Funding:
  Contract
• Genre:
  Journal Article
• Place as Subject:
  Arizona ; OSHA Region 9
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  34
• Issue:
  6
• NIOSHTIC Number:
  nn:20069210
• Citation:
  Geotech Geol Eng 2016 Dec; 34(6):1723-1735
• Contact Point Address:
  Pinnaduwa H. S. W. Kulatilake, Rock Mass Modeling and Computational Rock Mechanics Laboratories, University of Arizona, Tucson, AZ, 85721, USA
• Email:
  kulatila@u.arizona.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  University of Arizona
• Peer Reviewed:
  True
• Start Date:
  20110901
• Source Full Name:
  Geotechnical and Geological Engineering
• End Date:
  20160831
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:adef5607ab37519ce709f8ee5f0508d04d8cf9e937532bf7aa6a52f49a927ef4f473712ca7687e9689d47e3070853034ed3e0539cf1d49d840559f1cec3a92f7
• Download URL:
  https://stacks.cdc.gov/view/cdc/207734/cdc_207734_DS1.pdf
• File Type:
  [PDF - 1.40 MB ]