Computational modelling of historic masonry railroad arch bridges - Publikacja - MOST Wiedzy

Wyszukiwarka

Computational modelling of historic masonry railroad arch bridges

Abstrakt

The problems encountered during the analyzes of structural response of historic masonry railroad arch bridges are described in this paper. The attention is mainly focused on the stiffness of the masonry arches, their strengths and appropriate estimation of railroad load intensity. Issues related to computational modelling of two, existing, almost 130 years old masonry arch railroad bridges are presented in this context. The main properties and results of detailed inspection of the structures are shown. Computational models that were created in the finite element method environment in order to efficiently describe the responses of the bridges under typical loading conditions and estimate their load carrying abilities are presented. The outcomes of several nonlinear static analyses that were conducted for this purpose are discussed. What is more the results of finite element analyses are reviewed against the inspected bridge condition and final conclusions are formulated on that basis. All the analyses allowed to find the possible causes of the deterioration of the bridges condition.

Cytowania

  • 3

    CrossRef

  • 0

    Web of Science

  • 4

    Scopus

Cytuj jako

Pełna treść

pełna treść publikacji nie jest dostępna w portalu

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
COMPUTERS & STRUCTURES nr 291,
ISSN: 0045-7949
Język:
angielski
Rok wydania:
2024
Opis bibliograficzny:
Sobczyk B., Pyrzowski Ł., Miśkiewicz M.: Computational modelling of historic masonry railroad arch bridges// COMPUTERS & STRUCTURES -Vol. 291, (2024), s.107214-
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.compstruc.2023.107214
Źródła finansowania:
  • Publikacja bezkosztowa
Weryfikacja:
Politechnika Gdańska

wyświetlono 149 razy

Publikacje, które mogą cię zainteresować

Meta Tagi