Digital Twins for Bridge Assessment and Maintenance

Ali Sabzi Khoshraftar; Berend Jan van der Zwaag; Duc V. Le; Özlem Durmaz-Incel

doi:10.1109/SmartNets65254.2025.11106891

Digital Twins for Bridge Assessment and Maintenance

Ali Sabzi Khoshraftar, Berend Jan van der Zwaag, Duc V. Le, Özlem Durmaz-Incel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The increasing number of aging bridges underscores the need for efficient maintenance to enhance safety and reduce costs. This paper explores integrating digital twin technologies into bridge management to improve maintenance efficiency and accuracy. A 15-year-long simulation demonstrates improved inspection accuracy and efficiency, while a case study on a steel bridge illustrates a prototype implementation. This study advances infrastructure management and guides future digital transformation efforts, promoting interoperability and integration with artificial intelligence (AI) and extended reality (XR).

Original language	English
Title of host publication	2025 International Conference on Smart Applications, Communications and Networking (SmartNets)
ISBN (Electronic)	979-8-3315-1196-8
DOIs	https://doi.org/10.1109/SmartNets65254.2025.11106891
Publication status	Published - 15 Aug 2025
Event	7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025 - Istanbul, Turkey Duration: 22 Jul 2025 → 24 Jul 2025 Conference number: 7

Conference

Conference	7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025
Abbreviated title	SmartNets 2025
Country/Territory	Turkey
City	Istanbul
Period	22/07/25 → 24/07/25

Keywords

2025 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SmartNets65254.2025.11106891

Cite this

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title = "Digital Twins for Bridge Assessment and Maintenance",

abstract = "The increasing number of aging bridges underscores the need for efficient maintenance to enhance safety and reduce costs. This paper explores integrating digital twin technologies into bridge management to improve maintenance efficiency and accuracy. A 15-year-long simulation demonstrates improved inspection accuracy and efficiency, while a case study on a steel bridge illustrates a prototype implementation. This study advances infrastructure management and guides future digital transformation efforts, promoting interoperability and integration with artificial intelligence (AI) and extended reality (XR).",

keywords = "2025 OA procedure",

author = "\{Sabzi Khoshraftar\}, Ali and \{van der Zwaag\}, \{Berend Jan\} and Le, \{Duc V.\} and {\"O}zlem Durmaz-Incel",

year = "2025",

month = aug,

day = "15",

doi = "10.1109/SmartNets65254.2025.11106891",

language = "English",

booktitle = "2025 International Conference on Smart Applications, Communications and Networking (SmartNets)",

note = "7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025, SmartNets 2025 ; Conference date: 22-07-2025 Through 24-07-2025",

}

Sabzi Khoshraftar, A, van der Zwaag, BJ , Le, DV & Durmaz-Incel, Ö 2025, Digital Twins for Bridge Assessment and Maintenance. in 2025 International Conference on Smart Applications, Communications and Networking (SmartNets). 7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025, Istanbul, Turkey, 22/07/25. https://doi.org/10.1109/SmartNets65254.2025.11106891

TY - GEN

T1 - Digital Twins for Bridge Assessment and Maintenance

AU - Sabzi Khoshraftar, Ali

AU - van der Zwaag, Berend Jan

AU - Le, Duc V.

AU - Durmaz-Incel, Özlem

N1 - Conference code: 7

PY - 2025/8/15

Y1 - 2025/8/15

N2 - The increasing number of aging bridges underscores the need for efficient maintenance to enhance safety and reduce costs. This paper explores integrating digital twin technologies into bridge management to improve maintenance efficiency and accuracy. A 15-year-long simulation demonstrates improved inspection accuracy and efficiency, while a case study on a steel bridge illustrates a prototype implementation. This study advances infrastructure management and guides future digital transformation efforts, promoting interoperability and integration with artificial intelligence (AI) and extended reality (XR).

AB - The increasing number of aging bridges underscores the need for efficient maintenance to enhance safety and reduce costs. This paper explores integrating digital twin technologies into bridge management to improve maintenance efficiency and accuracy. A 15-year-long simulation demonstrates improved inspection accuracy and efficiency, while a case study on a steel bridge illustrates a prototype implementation. This study advances infrastructure management and guides future digital transformation efforts, promoting interoperability and integration with artificial intelligence (AI) and extended reality (XR).

KW - 2025 OA procedure

UR - https://www.scopus.com/pages/publications/105015586617

U2 - 10.1109/SmartNets65254.2025.11106891

DO - 10.1109/SmartNets65254.2025.11106891

M3 - Conference contribution

BT - 2025 International Conference on Smart Applications, Communications and Networking (SmartNets)

T2 - 7th International Conference on Smart Applications, Communications and Networking, SmartNets 2025

Y2 - 22 July 2025 through 24 July 2025

ER -

Digital Twins for Bridge Assessment and Maintenance

Abstract

Conference

Keywords

UN SDGs

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Cite this