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International Journal on Interactive Design and Manufacturing (IJIDeM)
Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) 2/2019

16.04.2018 | Original Paper

A two-bar truss structural model under uncertainty: a uncertain chance constrained geometric programming (UCCGP) approach

verfasst von: Wasim Akram Mandal

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 2/2019

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Abstract

In this paper a two-bar truss structural model under uncertainty is developed. Generally coefficients of two-bar truss structural model assume deterministic and precise parameters. However, the values observed for the parameters in real-world into a structural model often are imprecise and vague. Therefore, I have used coefficients are uncertain variables. Here assume the uncertain variables to have expected, variance, 2-ND moment and entropy based zigzag uncertainty distribution, respectively and show that the corresponding uncertain chance constraints two-bar truss structural model can be transformed into crisp problems to calculate the objective values. Geometric programming is one of the best optimization techniques for solving a variety of nonlinear optimization problems and engineering problems. A numerical example is given to illustrate the efficiency of the model through this approximation technique.
Vorheriger Artikel Unique transfer of functional requirements into manufacturing dimensions in an interactive design context
Nächster Artikel The distribution of frictional heat generated between the contacting surfaces of the friction clutch system

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Metadaten
Titel
A two-bar truss structural model under uncertainty: a uncertain chance constrained geometric programming (UCCGP) approach
verfasst von
Wasim Akram Mandal
Publikationsdatum
16.04.2018
Verlag
Springer Paris
Erschienen in
International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 2/2019
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI
https://doi.org/10.1007/s12008-018-0477-5

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