Error and uncertainty analysis of inexact and imprecise computer models

Ismail Farajpour, Sez Atamturktur

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

Computer simulations are routinely executed to predict the behavior of complex systems in many fields of engineering and science. These computer-aided predictions involve the theoretical foundation, numerical modeling, and supporting experimental data, all of which come with their associated errors. A natural question then arises concerning the validity of computer model predictions, especially in cases where these models are executed in support of high-consequence decision making. This article lays out a methodology for quantifying the degrading effects of incompleteness and inaccuracy of the theoretical foundation, numerical modeling, and experimental data on the computer model predictions. Through the method discussed in this paper, the validity of model predictions can be judged and communicated between involved parties in a quantitative and objective manner.

Original languageEnglish (US)
Pages (from-to)407-418
Number of pages12
JournalJournal of Computing in Civil Engineering
Volume27
Issue number4
DOIs
StatePublished - Jul 1 2013

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Uncertainty analysis
Error analysis
Large scale systems
Decision making
Computer simulation

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Computer Science Applications

Cite this

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Error and uncertainty analysis of inexact and imprecise computer models. / Farajpour, Ismail; Atamturktur, Sez.

In: Journal of Computing in Civil Engineering, Vol. 27, No. 4, 01.07.2013, p. 407-418.

Research output: Contribution to journalArticle

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