Time Series Modeling for Structural Response Prediction

Abstract

A numerical and experimental study of time domain methods for modeling and parameter identification of structural systems is presented. Models are developed which can be used to predict the transient response of multiple- degree-of-freedom systems subjected to arbitrary input. The linear, discrete time transfer function is expressed in a form called the Autoregressive Moving Average (ARMA) model. The ARMA model is a minimum parameter model that may be parameterized with a minimum number of measured quantities. The ARMA model is contrasted to traditional models such as differential equation models and modal methods. The ARMA model indentification algorithms are also compared to time domain modal methods. Though it has proven useful for a number of low-order systems, the identification of the ARMA model is often hampered by the sensitivity of parameter estimates to measurement noise bias.

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Document Details

Document Type
Technical Report
Publication Date
Nov 14, 1988
Accession Number
ADA208808

Entities

People

  • Joseph J. Hollkamp
  • Stephen M. Batill

Organizations

  • University of Notre Dame

Tags

Communities of Interest

  • Air Platforms
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Aeronautical Laboratories
  • Algorithms
  • Classification
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Data Acquisition
  • Differential Equations
  • Eigenvalues
  • Engineering
  • Measurement
  • Mechanical Engineering
  • Modal Analysis
  • Multiple Input Multiple Output
  • Research Facilities
  • Test Facilities

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation