Publication detail

Fuzzy Stochastic Approaches for Analysing the Serviceability Limit State of Load Bearing Systems

KALA, Z. OMISHORE, A.

Original Title

Fuzzy Stochastic Approaches for Analysing the Serviceability Limit State of Load Bearing Systems

Type

journal article in Scopus

Language

English

Original Abstract

Different approaches for determining the degree of uncertainty in models for the analysis of the serviceability limit state of building structures are described. An example of fuzzy and stochastic analysis of the uncertainty of deformation of a load bearing steel truss structure is presented. The relationships between the force acting on the structure and the elastic deformation of the structure caused by this force are studied using numerical simulations on the computer. The static response and elastic deformation are evaluated using linear and geometrically nonlinear models. It is proven in the article that small uncertainties in the initial geometric imperfections can lead to relatively large uncertainty in the response of the model, on the basis of which the safety and reliability of the structure are assessed.

Keywords

Stochastic, fuzzy, mathematical modelling, simulation, imperfection, reliability, serviceability, static, elastic

Authors

KALA, Z.; OMISHORE, A.

Released

1. 6. 2016

ISBN

1998-0159

Periodical

International Journal of Mathematics and Computers in Simulation

Year of study

2016

Number

10

State

United States of America

Pages from

294

Pages to

301

Pages count

8

BibTex

@article{BUT128406,
  author="Zdeněk {Kala} and Abayomi {Omishore}",
  title="Fuzzy Stochastic Approaches for Analysing the Serviceability Limit State of Load Bearing Systems",
  journal="International Journal of Mathematics and Computers in Simulation",
  year="2016",
  volume="2016",
  number="10",
  pages="294--301",
  issn="1998-0159"
}