Combining Data for Improved Weibull Parameter Estimation.

Abstract

Weibull parameters are often used by experimentalists to characterize the fracture behavior of structural materials. Frequently several different types of tests are performed, and theory indicates that the parameters for each type should be the same, or have some specific relations to each other. In such cases, it is advantageous to combine the data to find the parameters best representing all the data. The present paper discusses techniques for carrying out this objective and analyzes two examples in detail to illustrate the principles involved. The first example compares uniaxial and equibiaxial fracture statistics. The second example discusses fracture statistics for single fibers of several different lengths. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA062613

Entities

People

  • George Sines
  • Samuel B. Batdorf

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Carbon Fibers
  • Data Science
  • Data Sets
  • Digital Computers
  • Engineering
  • Engineers
  • Equations
  • Fibers
  • Gaussian Distributions
  • Information Science
  • Linear Regression Analysis
  • Materials
  • Probability
  • Regression Analysis
  • Simultaneous Equations
  • Statistics
  • Stresses

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Materials Science (Mechanical Engineering).
  • Theoretical Analysis.