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    Wyświetlanie 1-3 z 3
    Tytuł:
    Supports Used in Makeshift Reconstruction of Railway Bridges
    Autorzy:
    Zamiar, Zenon
    Surowiecki, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/6420321.pdf
    Data publikacji:
    2023
    Wydawca:
    Międzynarodowa Wyższa Szkoła Logistyki i Transportu
    Tematy:
    railway bridge
    bridge support
    makeshift reconstruction
    Opis:
    The topic of the article concerns supports (abutments and pillars) used in makeshift reconstruction of railway bridges. The causes determining difficulties in the construction of supports for makeshift bridges are listed. The following supports are discussed in terms of construction and assembly technology: wooden supports (from the so-called cages, piles, frame and frame-pile, flat and flat and frame as well as wooden splines), steel (pile, frame), as well as concrete and reinforced concrete. Attention was drawn to the necessity of making attempts to use the remaining supports, or fragments of permanent supports to the greatest possible extent.
    Źródło:
    Logistics and Transport; 2023, Vol. 57-58, No. 1-2; 55-76
    1734-2015
    Pojawia się w:
    Logistics and Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Free vibration analysis of multi-span orthotropic bridge deck with rubber bearings
    Autorzy:
    Farah, Imed
    Rezaiguia, Abdelouahab
    Mouassa, Ahcene
    Debra, Laefer
    Guenfoud, Salah
    Powiązania:
    https://bibliotekanauki.pl/articles/1840891.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    free vibration
    multi-span orthotropic bridge deck
    rubber bearings
    elastic support
    intermodal coupling
    drgania swobodne
    przenoszenie drgań
    pomost ortotropowy
    łożysko gumowe
    Opis:
    In this paper, a semi-analytical approach is proposed for free vibration analysis of a multi-span, orthotropic bridge deck with rubber bearings. This allows more realistic modeling of vibration transmission from a bridge’s deck to its supports. The approach is based on modal superposition incorporating intermodal coupling. The bridge deck was modeled as a continuous, multi-span, orthotropic rectangular plate with equivalent rigidities. The rubber bearings were inserted between the girders and rigid supports to absorb traffic induced vibrations. The rubber bearing was modeled by linear elastic, vertical supports as very flexible in rotation and highly rigid in the vertical direction. The method’s efficacy was validated against two numerical examples. The absolute error was less than 10%.
    Źródło:
    Diagnostyka; 2021, 22, 1; 11-21
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Implementation of digital twin and support vector machine in structural health monitoring of bridges
    Autorzy:
    Al-Hijazeen, Asseel Za'al Ode
    Fawad, Muhammad
    Gerges, Michael
    Koris, Kálmán
    Salamak, Marek
    Powiązania:
    https://bibliotekanauki.pl/articles/27312162.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    monitorowanie stanu konstrukcji
    most
    uszkodzenie
    bliźniak cyfrowy
    uczenie maszynowe
    maszyna wektorów wsparcia
    structural health monitoring
    bridge
    damage
    digital twin
    machine learning
    support vector machine
    Opis:
    Structural health monitoring (SHM) of bridges is constantly upgraded by researchers and bridge engineers as it directly deals with bridge performance and its safety over a certain time period. This article addresses some issues in the traditional SHM systems and the reason for moving towards an automated monitoring system. In order to automate the bridge assessment and monitoring process, a mechanism for the linkage of Digital Twins (DT) and Machine Learning (ML), namely the Support Vector Machine (SVM) algorithm, is discussed in detail. The basis of this mechanism lies in the collection of data from the real bridge using sensors and is providing the basis for the establishment and calibration of the digital twin. Then, data analysis and decision-making processes are to be carried out through regression-based ML algorithms. So, in this study, both ML brain and a DT model are merged to support the decision-making of the bridge management system and predict or even prevent further damage or collapse of the bridge. In this way, the SHM system cannot only be automated but calibrated from time to time to ensure the safety of the bridge against the associated damages.
    Źródło:
    Archives of Civil Engineering; 2023, 69, 3; 31--47
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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