2007Digitalni Knihovna - Knihovna Akademie věd ČRRequires access

FUZZY PROBABILITY METHODS IN APPLICATIONS TO RELIABILITY ANALYSIS OF EUROCODE RULES FOR STEEL STRUCTURE DESIGN

Zdeněk Kala

Open publisher page 2 citations

Abstract

The topic of the paper is the probabilistic analysis of the ultimate limit state of a steel strut loaded by permanent and long-time single variation action. The failure probability misalignment according to the EN 1990 concept of a structure designed according to the EUROCODE 3 is analyzed here. In the stochastic model, material and geometrical characteristics of a hot-rolled steel cross-section are considered according to the experimental research results. The initial curvature shape and size variability of the beam axis is modelled, in detail, by applying the random fields. The functional dependence between the failure probability and the correlation length of a random field is analyzed here. The probabilistic analysis is completed by the fuzzy analysis of the influence of uncertainties on the failure probability. The fuzzification process of coefficients of model uncertainties and the deffuzification process of the fuzzy number of the output failure probability are described. The failure probability fuzzy analysis was evaluated according to the general extension principle, the failure probability having been solved by the Monte Carlo method.

Open-access reader

About this research paper

What this paper is about

The topic of the paper is the probabilistic analysis of the ultimate limit state of a steel strut loaded by permanent and long-time single variation action. The failure probability misalignment according to the EN 1990 concept of a structure designed according to the EUROCODE 3 is analyzed here. In the stochastic model, material and geometrical characteristics of a hot-rolled steel cross-section are considered according to the experimental research results. The initial curvature shape and size variability of the beam axis is modelled, in detail, by applying the random fields. The functional dependence between the failure probability and the correlation length of a random field is analyzed here. The probabilistic analysis is completed by the fuzzy analysis of the influence of uncertainties on the failure probability. The fuzzification process of coefficients of model uncertainties and the deffuzification process of the fuzzy number of the output failure probability are described. The failure probability fuzzy analysis was evaluated according to the general extension principle, the failure probability having been solved by the Monte Carlo method.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The topic of the paper is the probabilistic analysis of the ultimate limit state of a steel strut loaded by permanent and long-time single variation action. The failure probability misalignment according to the EN 1990 concept of a structure designed according to the EUROCODE 3 is analyzed here. In the stochastic model, material and geometrical characteristics of a hot-rolled steel cross-section are considered according to the experimental research results. The initial curvature shape and size variability of the beam axis is modelled, in detail, by applying the random fields. The functional dependence between the failure probability and the correlation length of a random field is analyzed here. The probabilistic analysis is completed by the fuzzy analysis of the influence of uncertainties on the failure probability. The fuzzification process of coefficients of model uncertainties and the deffuzification process of the fuzzy number of the output failure probability are described. The failure probability fuzzy analysis was evaluated according to the general extension principle, the failure probability having been solved by the Monte Carlo method.

Key concepts: Fuzzy logic, Probabilistic logic, Monte Carlo method, Limit state design, Mathematics, Probability distribution, Random variable, Structural engineering

Related papers

Back to paper searchBrowse research topicsOriginal source
FUZZY PROBABILITY METHODS IN APPLICATIONS TO RELIABILITY ANALYSIS OF EUROCODE RULES FOR STEEL STRUCTURE DESIGN — Research Paper | ScholarLens