Evaluation of the maximum axial force on a cylindrical shell structure in terms of stability and strength using fuzzy quantities of chosen geometric parameters

Valeriy Baranenko; Denys Volchok

doi:10.7409/rabdim.016.005

Published: 2016-03-31

Vol. 15 No. 1 (2016)

Evaluation of the maximum axial force on a cylindrical shell structure in terms of stability and strength using fuzzy quantities of chosen geometric parameters

Valeriy Baranenko , Denys Volchok

Section: Articles

https://doi.org/10.7409/rabdim.016.005

Abstract

The paper deals with the application of the fuzzy sets theory for determining the maximum axial load of a pin-supported smooth cylindrical shell surface. It takes into account the stability and strength criteria, using fuzzy shell radius and plate thickness data. The formulated optimisation problems relate to fuzzy chance-constrained programming (CCP) models. A Monte-Carlo simulation modelling algorithm is proposed. Computational experiments were performed as part of the study. The proposed method can be used for designing and assessing the load-bearing capacity of structures such as bridges and railroads when faced with incomplete or time-varying input data.

Keywords:

fuzzy information, shell, structural modelling

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Baranenko, V., & Volchok, D. (2016). Evaluation of the maximum axial force on a cylindrical shell structure in terms of stability and strength using fuzzy quantities of chosen geometric parameters. Roads and Bridges - Drogi I Mosty, 15(1), 71–81. https://doi.org/10.7409/rabdim.016.005

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Valeriy Baranenko

bva0984387404@gmail.com

Affiliation:

Prydniprovs'ka State Academy of Civil Engineering and Architecture; Czerniszevskovo 24a blvd, 49600 Dnipropetrovsk, Ukraine

Denys Volchok

Affiliation:

Prydniprovs'ka State Academy of Civil Engineering and Architecture; Czerniszevskovo 24a blvd, 49600 Dnipropetrovsk, Ukraine

Evaluation of the maximum axial force on a cylindrical shell structure in terms of stability and strength using fuzzy quantities of chosen geometric parameters

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Valeriy Baranenko

Denys Volchok