STATISTICAL BASED NON-LINEAR MODEL UPDATING USING FEATURE EXTRACTION Metadata

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Title

  • Main Title STATISTICAL BASED NON-LINEAR MODEL UPDATING USING FEATURE EXTRACTION

Creator

  • Author: Schultz, J.F.
    Creator Type: Personal
  • Author: Hemez, F.M.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization
    Contributor Info: US Department of Energy (United States)

Publisher

  • Name: Los Alamos National Laboratory
    Place of Publication: New Mexico
    Additional Info: Los Alamos National Lab., NM (United States)

Date

  • Creation: 2000-10-01

Language

  • English

Description

  • Content Description: This research presents a new method to improve analytical model fidelity for non-linear systems. The approach investigates several mechanisms to assist the analyst in updating an analytical model based on experimental data and statistical analysis of parameter effects. The first is a new approach at data reduction called feature extraction. This is an expansion of the update metrics to include specific phenomena or character of the response that is critical to model application. This is an extension of the classical linear updating paradigm of utilizing the eigen-parameters or FRFs to include such devices as peak acceleration, time of arrival or standard deviation of model error. The next expansion of the updating process is the inclusion of statistical based parameter analysis to quantify the effects of uncertain or significant effect parameters in the construction of a meta-model. This provides indicators of the statistical variation associated with parameters as well as confidence intervals on the coefficients of the resulting meta-model, Also included in this method is the investigation of linear parameter effect screening using a partial factorial variable array for simulation. This is intended to aid the analyst in eliminating from the investigation the parameters that do not have a significant variation effect on the feature metric, Finally an investigation of the model to replicate the measured response variation is examined.
  • Physical Description: 12 p.

Subject

  • Keyword: Acceleration
  • Keyword: Statistics
  • STI Subject Categories: 99 General And Miscellaneous//Mathematics, Computing, And Information Science
  • Keyword: Mathematical Models
  • Keyword: Construction
  • Keyword: Parametric Analysis
  • Keyword: Metrics

Source

  • Conference: 19th International Modal Analysis Conference, Kissimmee, FL (US), 02/05/2001--02/08/2001

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Article

Format

  • Text

Identifier

  • Report No.: LA-UR-00-4874
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 765276
  • Archival Resource Key: ark:/67531/metadc723374

Note

  • Display Note: OSTI as DE00765276
  • Display Note: Medium: P; Size: 12 pages