Experimental Determination of Probability Distributions for Parameters of a Salem Limestone Cap Plasticity Model.

Abstract

Marginal probability density functions and a correlation matrix are determined for parameters of the Weidlinger cap plasticity model for Salem limestone specimens originating from Bedford, Indiana. The report describes a program comprising precision laboratory testing, parameter estimation, and probability distribution model fitting. A novel testing scheme allows a complete set of material parameters to be determined from a single test specimen. Statistical properties and distributions are determined by replication. The fitted model is validated by predicting loading histories not included in the fitting database. The testing program includes uniaxial strain tests in axial strain control ), unconfined compression tests in ail strain control, hydrostatic compression tests in load control, and triaxial compression tests in axial strain control during loading and load control during unloading . All specimens are tested at a constant temperature of 20 deg C and at a water saturation level of 50%. The validation study clearly demonstrates that the parameter estimation procedure produces high quality parameter values, and that the fitted model can not only reproduce measured data included in the fitting database, but also predicts responses from tests conducted under loading histories different from those found in the fitting database. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1995
Accession Number
ADA290878

Entities

People

  • Arlo F. Fossum
  • Kirby D. Mellegard
  • Tom W. Pfeifle

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Databases
  • Distribution Functions
  • Engineering
  • Geotechnical Engineering
  • Information Science
  • Load Control
  • Materials
  • Measurement
  • Mechanical Properties
  • Mechanics
  • Plastic Properties
  • Probability
  • Probability Distributions
  • Random Variables
  • Rock Mechanics
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Mechanical Engineering/Mechanics of Materials.