Optimization of multilayer rail substrate under moving load, using metamaterials. | Zendy

Tomasz Królikowski | Zendy; Andrzej Błażejewski | Zendy; Remigiusz Knitter | Zendy

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Optimization of multilayer rail substrate under moving load, using metamaterials.

Author(s) -

Tomasz Królikowski,

Andrzej Błażejewski,

Remigiusz Knitter

Publication year - 2020

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2020.09.057

Subject(s) - multiphysics , moving load , computer science , finite element method , beam (structure) , displacement (psychology) , genetic algorithm , timoshenko beam theory , minification , structural engineering , physics , optics , psychology , machine learning , engineering , psychotherapist , programming language

Paper presents the optimization of linear elastic multilayer foundation of the Timoshenko beam, which can be considered as a rail model. The moving load traveling along a beam with particular velocity, which distribution is characterized by Gauss function, is implemented in the model. The displacement caused by the load is dependent on multilayer foundation parameters such as layer thickness, a type of material and load parameters such as moving velocity as well its distribution on a beam. The optimization, i.e. minimization of the total displacement sum, as the result of objective function determined regarding chosen parameters of a foundation and load, as a design variable was carried out. The Comsol Multiphysics [1], is applied in order to solve the beam and moving load problem by using the finite element method [2,3,4,5,6]. Using genetic algorithm [7,8,9] searches the minimum of objective function.

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