Numerical modeling and higher moments analysis of response characteristics in random structural systems

Author

Carino, C.

Author_Institution

Dept. of Structural Mech., Pavia Univ., Italy

fYear

1995

Firstpage

455

Lastpage

459

Abstract

A moment-based method founded on the maximum-entropy principle is applied in this paper with the aim of quantifying the uncertainty associated with structural behaviour, for systems affected with imperfect knowledge in the input parameters. A numerical model implemented on a microcomputer is employed for the preliminary identification of a response surface approximating the input-output mechanical model. It is shown how this initial stage enables the subsequent analysis of uncertainty propagation to be supplied with sufficient information about the probability distribution of the system output

Keywords

higher order statistics; maximum entropy methods; microcomputer applications; numerical analysis; structural engineering; structural engineering computing; uncertain systems; higher moments analysis; imperfect knowledge; input parameters; input-output mechanical model; maximum-entropy principle; microcomputer implementation; moment-based method; numerical modeling; random structural systems; response characteristics; response surface identification; structural behaviour; system output probability distribution; uncertainty propagation; uncertainty quantification; Computational modeling; Entropy; Information analysis; Microcomputers; Numerical models; Probability density function; Probability distribution; Response surface methodology; Surface fitting; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-7126-2

Type

conf

DOI

10.1109/ISUMA.1995.527738

Filename

527738