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www.T-Science.org       p-ISSN 2308-4944 (print)       e-ISSN 2409-0085 (online)
SOI: 1.1/TAS         DOI: 10.15863/TAS

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ISJ Theoretical & Applied Science 01(45) 2017

ISPC Perspectives in science for 2017, Philadelphia, USA

* Scientific Article * Impact Factor 6.630


Korneev AM, Buzina OP, Sukhanov AV, Shipulin IA, Shipulin NA

ALGORITHM FOR ESTIMATING THE INITIAL RELIABILITY OF ELEMENTS DISPERSED STRUCTURE WITH A DISCRETE FIBER ON THE BASIS OF PROBABILITY MATHEMATICAL MODEL.

Full Article: PDF

Scientific Object Identifier: http://s-o-i.org/1.1/TAS-01-45-18

DOI: https://dx.doi.org/10.15863/TAS.2017.01.45.18

Language: English

Citation: Korneev AM, Buzina OP, Sukhanov AV, Shipulin IA, Shipulin NA (2017) ALGORITHM FOR ESTIMATING THE INITIAL RELIABILITY OF ELEMENTS DISPERSED STRUCTURE WITH A DISCRETE FIBER ON THE BASIS OF PROBABILITY MATHEMATICAL MODEL. ISJ Theoretical & Applied Science, 01 (45): 89-92. Soi: http://s-o-i.org/1.1/TAS-01-45-18 Doi: https://dx.doi.org/10.15863/TAS.2017.01.45.18

Pages: 89-92

Published: 30.01.2017

Abstract: The article describes the main provisions of probabilistic mathematical model to assess the reliability of bent elements, steel-reinforced dispersion-discrete fibers with a single limb at both ends («Dramix»). The authors, based on a mathematical nonlinear deformation model developed probabilistic algorithm and a computer program to assess the reliability of fiber concretes beams, flexural, taking into account physical nonlinearity of materials, which implements the method of statistical modeling. Probability calculation is to determine the statistical characteristics of strength, stiffness and fracture study design elements during a large number of statistical tests associated with modeling initial random quantities - prism strength matrix ultimate strength tensile fibers, the angle of orientation of the fibers and their incorporation. As a result, the program outputs the reliability indexes bent elements, reinforced with steel discrete fibers for strength, stiffness and fracture toughness. These figures allow us to judge about the serviceability of the study of structural elements.

Key words: probabilistic mathematical model, statistical modeling method, random variable, discrete fiber, reliability of the design element.


 

 

 

 

 

 

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