Numerical Techniques to Evaluate Moments of Dynamic System Response

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Description

Probabilistic uncertainty is a phenomenon that occurs to a certain degree in many engineering applications. The effects that this uncertainty has upon a given system response are a matter of some concern. Techniques which provide insight to these effects will be required as modeling and prediction becomes a more vital tool in the engineering design process. The purpose of this paper is to outline a procedure to evaluate uncertainty in dynamic system response exploiting various numerical methods. Specifically, the goal is to attain the statistics of the response with minimal computational effort. Numerical interpolation and integration techniques are utilized in ... continued below

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6 p.

Creation Information

Field, R.V.; Paez, T.L. & Red-Horse, J.R. March 24, 1999.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

Probabilistic uncertainty is a phenomenon that occurs to a certain degree in many engineering applications. The effects that this uncertainty has upon a given system response are a matter of some concern. Techniques which provide insight to these effects will be required as modeling and prediction becomes a more vital tool in the engineering design process. The purpose of this paper is to outline a procedure to evaluate uncertainty in dynamic system response exploiting various numerical methods. Specifically, the goal is to attain the statistics of the response with minimal computational effort. Numerical interpolation and integration techniques are utilized in conjunction with the iterative form of the Advanced Mean Value (AMV+) method to efficiently and accurately estimate statistical moments of the response random process. A numerical example illustrating the use of this analytical tool in a practical framework is presented.

Physical Description

6 p.

Notes

OSTI as DE00005043

Medium: P; Size: 6 pages

Source

  • 13th ASCE Engineering Mechanics Division Conference, Baltimore, MD (US), 06/13/1999--06/16/1999

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  • Report No.: SAND99-0700C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 5043
  • Archival Resource Key: ark:/67531/metadc692892

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  • March 24, 1999

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • April 11, 2017, 1:08 p.m.

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Field, R.V.; Paez, T.L. & Red-Horse, J.R. Numerical Techniques to Evaluate Moments of Dynamic System Response, article, March 24, 1999; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc692892/: accessed August 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.