2026, Vol. 13, No. 1. - go to content...

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DOI: 10.15862/09SATS126 (https://doi.org/10.15862/09SATS126)

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Valiev Sh.N., Vasiliev A.I., Mustafa A.H.M., Kochetkov A.V., Laptev A.A., Musongo M.A., Smolenkin V.S. New Bridge Information Modeling technology for information modeling of bridge structures. Russian Journal of Transport Engineering. 2026; 13(1). Available at: https://t-s.today/PDF/09SATS126.pdf (in Russian). DOI: 10.15862/09SATS126

New Bridge Information Modeling technology for information modeling of bridge structures

Valiev Sherali Nazaralievich
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: vshn2014@gmail.com
ORCID: https://orcid.org/0000-0001-6326-2233
RSCI: https://elibrary.ru/author_profile.asp?id=284723

Vasiliev Alexander Ilyich
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: 655178@mail.ru
RSCI: https://elibrary.ru/author_profile.asp?id=285715

Mustafa Amjed Hussein Mahmoud
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: amjed.mustafa@yandex.ru
ORCID: https://orcid.org/0009-0004-3835-2340

Kochetkov Andrey Viktorovich
Perm National Research Polytechnical University, Perm, Russia
E-mail: soni.81@mail.ru
ORCID: https://orcid.org/0000-0002-6523-6095
RSCI: https://elibrary.ru/author_profile.asp?id=179080

Laptev Alexander Alexandrovich
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: laa251299@yandex.ru
ORCID: https://orcid.org/0009-0004-7880-7012

Musongo Mervale Akemba
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: merveille.musongo@mail.ru
ORCID: https://orcid.org/0009-0007-0187-6310

Smolenkin Vladimir Sergeevich
Moscow Automobile and Road Construction State Technical University, Moscow, Russia
E-mail: atk.007@mail.ru
ORCID: https://orcid.org/0009-0005-4457-908X

Abstract. The article substantiates the development of a plug-in for Midas CIM, which would make it possible to process information from field journals more quickly, including data on the geometry and condition of load-bearing structures. The creation of an integrated information base is justified, which can be used by any specialist, minimizing dependence on individual participants in the process. The use of digital information technologies helps to accelerate the generation of reports and improve the efficiency of bridge operation management. The created plugin allows you to reduce data processing time, reduce the risk of errors and simplify the management of the results of surveys of bridge superstructures. With the help of augmented reality, survey engineers will be able, if they have an information model based on the executive documentation, to visualize hidden structural elements such as fittings and engineering communications, as well as access archived data about the facility directly on site. The developed plug-in is integrated with digital and information technologies. The use of BrIM technologies greatly simplifies the process of preparing pre-design and acceptance surveys of bridge structures, which is a key step before starting any repair or reconstruction work.

Keywords: information modeling; bridge technologies; design; construction; operation; load capacity; condition; monitoring; additional reality; plug-in

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