Uncertainties in Soil Constitutive Behavior. Revision

Abstract

A Markov chain phenomenological framework is used to model soil constitutive behavior accounting for uncertainties. The key in a Markov chain model is its transition probability (stochastic) matrix. Two lines of study have been pursued: 1) Explore the properties of stochastic matrices with the purpose of explaining different classes of behavior according to the mathematical properties of these transition matrices; and 2) Identify a relatively simple technique to estimate the transition probabilities from available experimental data. These were parallel efforts. The first is greatly enhanced by the success of the second.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1989
Accession Number
ADA205924

Entities

People

  • H. Benaroya

Tags

DTIC Thesaurus Topics

  • Difference Equations
  • Differential Equations
  • Equations
  • Experimental Data
  • Failure Mode And Effect Analysis
  • Kolmogorov Equations
  • Markov Chains
  • Markov Processes
  • Mathematical Models
  • Mechanics
  • Modulus Of Elasticity
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Stochastic Processes
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Theoretical Analysis.