BOUT DEVELOPMENT OFMETHODS OF ANALYSISAND ASSESSMENT OF VULNERABILITYOF SPATIAL PLATE-SHELL REINFORCED CONCRETESTRUCTURES WITH ALLOWANCE FOR PHYSICAL NON-LINEARITIES, CRACK FORMATION ANDINDUCED ANISOTROPY
Journal Title: International Journal for Computational Civil and Structural Engineering - Year 2018, Vol 14, Issue 2
Abstract
Themodern stage of modelling of behavior of reinforced concrete structures is associated with the widespread use of numerical methods. Thedistinctive paper is devoted todevelopment and numerical implementation of methods of structural analysis including progressive collapse analysis of spatial plate-shell reinforced concrete structures with allowance for physical nonlinearity, crack formation and inducedanisotropy. The relevance of the research topic is substantiated, the current status of research on this topic in Russia and abroad (including various aspects dealing with types of diagrams for modelling of reinforced concrete structures,construction of general deformation models of reinforced concrete, strength criteria for reinforced concrete structures and methods of structural analysis) is analyzed, the goals, objectives and boundaries of the study are determined, the provisions constituting scientific novelty, theoretical significance and practical significance are formulated, publications on the topic are under consideration. It should be noted that generallyfurther improvement and modifications of reinforced concrete models and their integration incontemporarysoftware systems for structural analysis remain very important. It is assumed that developing methods of analysis of reinforced concrete structures will replace multi-iterative approaches to the solution of physically nonlinear problems and move from the practically possible high-precision analysis of individual structures to the analysis of complex structural systems with allowance for various factors of physical nonlinearity and anisotropy. As a result,reliability of design solutions will increase significantly. The strength criteria used in this way, in turn, will also eliminate a number of errors in existing methods for strength analysis.
Authors and Affiliations
Alexander M. Belostotsky, Nikolay I. Karpenko, Pavel I. Akimov, Vladimir N. Sidorov, Sergey N. Karpenko, Alexey N. Petrov, Taymuraz B. Kaytukov, Vladimir A. Kharitonov
Keywords
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- EP ID EP576659
- DOI 10.22337/2587-9618-2018-14-2-30-47
- Views 72
- Downloads 0
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