Wavelet-based numerical and semianalytical methods of computational local structural analysis

Numerical or semianalytical solution of problems of structural mechanics of high dimensionality is computationally costly process in many cases. However, structural engineer does not normally face the task of obtaining a solution of the problem with high accuracy at all points of the considered domain occupied by the structure. As a rule, all subdomains that are potentially dangerous in terms of structural strength are well known in advance. Operational and variational formulations of boundary problems of structural mechanics with the use of method of extended domain are presented. After corresponding (finite element or finite difference) discretization and passage to governing equations considering problems are transformed to a multilevel space with the use of multilevel wavelet transform (discrete Haar basis is used). Special algorithms of averaging are presented. © Published under licence by IOP Publishing Ltd.

Авторы
Akimov P.A. 1, 2, 3, 4 , Belostosky A.M. 2, 3, 4 , Kaytukov T.B.1 , Lyakhovich L.S.3 , Mozgaleva M.L.5
Сборник материалов конференции
Издательство
Institute of Physics Publishing
Номер выпуска
1
Язык
Английский
Статус
Опубликовано
Номер
012057
Том
675
Год
2019
Организации
  • 1 Russian Academy of Architecture and Construction Sciences, ul. Bolshaya Dmitrovka 24, Moscow, 107031, Russian Federation
  • 2 Department of Civil Engineering, Peoples' Friendship University of Russia, Miklukho-Maklaya str. 6, Moscow, 117198, Russian Federation
  • 3 Department of Structural Mechanics, Tomsk State University of Architecture and Building, Solyanaya sq. 2, Tomsk, 634003, Russian Federation
  • 4 Research and Development Centre StaDyO, Office 810, 3ya Ulitsa Yamskogo Polya 18, Moscow, 125040, Russian Federation
  • 5 Department of Applied Mathematics, National Research Moscow State University of Civil Engineering, Yaroslavskoe Shosse 26, Moscow, 129337, Russian Federation
Ключевые слова
Boundary problem; Local structural analysis, wavelet-based methods; Numerical methods; Reduction; Semianalytical methods
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