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First name, Middle name, Last name, Scientific degree, Scientific rank, Current position. Full and brief name of the organization, The organization address.Akhmadiev Fail Gabdulbarovich doctor of technical sciences, professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Malanichev Igor Vyacheslavovich candidate of technical sciences, associate professor E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Kazan State University of Architecture and Engineering The organization address: 420043, Russia, Kazan, Zelenaya st., 1
Title of the articlePopulation-based algorithms of structural and parametric optimization in construction design
Abstract.Problem statement. The aim of the paper is to evaluate the possibility of using population-based search algorithms to solve problems of structural and parametric optimization in construction design. Results. The main results of the study are the development of a general approach to solving structural and parametric optimization problems from different areas of construction design, that can be formulated as a network graph. The redundant scheme of the project is defined as a network of nodes and links, containing a sufficiently large number of possible solutions. The task of structural optimization is reduced to parametric optimization by introducing sequential numbering of constructive elements of the project as variables, where the zero number corresponds to the variant with physically possible, but unrealistic, characteristics for the representation of elements, the inclusion of which to the project is inappropriate. The formulation of the optimization problem takes into account the fulfillment of the equilibrium conditions and additional constraints corresponding to the content of the project. The particle swarm method is used as a method of optimization. The results of test calculations for hydraulic network and truss structure are consistent with known solutions. Conclusions. The significance of the obtained results for the construction industry is the confirmed effectiveness of the particle swarm method in combination with the use of redundant circuits for solving problems of discrete structural and parametric optimization in construction design.
Keywords.population-based algorithms, particle swarm method, structural and parametric optimization, hydraulic network, truss structure.
For citations:Akhmadiev F.G., Malanichev I.V. Population-based algorithms of structural and parametric optimization in construction design // Izvestiya KGASU. 2018. №2(44) P.215-223.


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