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Digital-twin-based structural health monitoring of dikes
Citation Link: https://doi.org/10.15480/882.15932
Publikationstyp
Journal Article
Date Issued
2025-07-18
Sprache
English
Author(s)
Bornholdt, Marike
Zehetmaier, Gerhard
TORE-DOI
Journal
Volume
6
Issue
3
Article Number
39
Citation
CivilEng 6 (3): 39 (2025)
Publisher DOI
Publisher
MDPI
Earthen flood protection structures are planned and constructed with an expected service life of several decades while being exposed to environmental impacts that may lead to structural or hydraulic failure. Current maintenance procedures involve only repairing external damage, leaving internal processes contributing to structural damage often undetected. Through structural health monitoring (SHM), structural deficits can be detected before visible damage occurs. To improve maintenance workflows and support predictive maintenance of dikes, this paper reports on the integration of digital twin concepts with SHM strategies, referred to as “digital-twin-based SHM”. A digital twin concept, including a standard-compliant building information model, is proposed and implemented in terms of a digital twin environment. For integrating monitoring and sensor data into the digital twin environment, a customized webform is designed. A communication protocol links preprocessed sensor data stored on a server with the digital twin environment, enabling model-based visualization and contextualization of the sensor data. As will be shown in this paper, a digital twin environment is set up and managed in the context of SHM in compliance with technical standards and using well-established software tools. In conclusion, digital-twin-based SHM, as proposed in this paper, has proven to advance predictive maintenance of dikes, contributing to the resilience of critical infrastructure against environmental impacts.
Subjects
structural health monitoring (SHM) | digital twin; dikes | flood protection | OGC SensorThings API | Internet of Things (IoT) | sensor data; communication protocols
DDC Class
620.1: Engineering Mechanics and Materials Science
624: Civil Engineering, Environmental Engineering
Publication version
publishedVersion
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Name
civileng-06-00039.pdf
Type
Main Article
Size
2.34 MB
Format
Adobe PDF