Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49658
Title: Digital Twins for Bridge Management
Authors: Lantsoght, Eva
Chacon, Rolando
VEREECKEN, Eline 
Bektas, Basak
Catbas, Necati
Chatzi, Eleni
Gül, Mustafa
Shirzad-Ghaleroudkhani, Nima
Matos, Jose
Dang, Son
Valenzuela, Matias
Zandi, Kamyab
Hajdin, Rade
Issue Date: 2026
Publisher: 
Source: Materials Evaluation, 84 (7) , p. 66 -84
Abstract: Digital twins (DTs) are increasingly seen as a promising tool for bridge management, yet bridge owners hold diverging views on bridge digital twin (BDT) requirements, benefits, and feasibility. The International Association for Bridge Maintenance and Safety (IABMAS) Working Group on Digital Twins conducted an international survey of bridge owners and reviewed current developments in DT and case studies. The survey covered owners’ management needs, DT definitions, input/output expectations, and perceived potential. Owners see promise in DTs but want clearer guidance on minimum requirements, practical benefits, and scalable implementation strategies. Case studies illustrate their strengths in lifecycle decision-making and weaknesses tied to data fragmentation. Coherent data standards, platform interoperability, and integration with existing asset management workflows are essential. This work outlines a roadmap toward a harmonized, owner-centered BDT framework grounded in coherent standards, scalable implementation paths, and cross-sectoral collaboration.
Keywords: assessment;existing bridges;survey;owner’s perspective;decision-making support;input data
Document URI: http://hdl.handle.net/1942/49658
ISSN: 0025-5327
e-ISSN: 0025-5327
DOI: 10.32548/2026.me-04575
Rights: 2026 American Society for Nondestructive Testing
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
2026_ASNT_Lantsoght_Digital Twins for Bridge Management_POSTPRINT.pdf
  Until 2027-01-31
Peer-reviewed author version1.34 MBAdobe PDFView/Open    Request a copy
2026_ASNT_Lantsoght_Digital Twins for Bridge Management_PUBLISHED.pdf
  Restricted Access
Published version3.79 MBAdobe PDFView/Open    Request a copy
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.