Details
| Original language | English |
|---|---|
| Title of host publication | Experimental Vibration Analysis for Civil Engineering Structures |
| Subtitle of host publication | EVACES 2025 |
| Editors | Álvaro Cunha, Elsa Caetano |
| Pages | 997-1006 |
| Number of pages | 10 |
| Volume | 1 |
| Publication status | Published - 1 Oct 2025 |
Publication series
| Name | Experimental Vibration Analysis for Civil Engineering Structures |
|---|---|
| Volume | 674 |
| ISSN (Print) | 2366-2557 |
| ISSN (electronic) | 2366-2565 |
Abstract
Digital twins are virtual representations of physical systems and are becoming increasingly important in structural health monitoring of engineering structures. However, the applicability of a digital twin highly depends on its ability to stream and process real-time measurement data from the physical system to the digital representation. A data streaming strategy based on Apache Kafka for a real-time capable implementation of digital twins is presented, focusing on model updating using a cantilever beam as a case study. In this setup, measurement data are transferred to a server every second, and modal parameters are identified every 10 s. These identification results are fed into the digital twin of the system, which is continuously updated to accurately reflect the physical behaviour of the cantilever beam. This contribution demonstrates that the condition of the structure can be accurately identified using a digital twin, allowing for real-time decision making.
Keywords
- Digital Twin, Internet of Things, Model Updating, Structural Health Monitoring
ASJC Scopus subject areas
- Engineering(all)
- Civil and Structural Engineering
Cite this
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Experimental Vibration Analysis for Civil Engineering Structures : EVACES 2025. ed. / Álvaro Cunha; Elsa Caetano. Vol. 1 2025. p. 997-1006 Chapter 99 (Experimental Vibration Analysis for Civil Engineering Structures; Vol. 674).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research
}
TY - CHAP
T1 - Real-Time Capable Model Updating of Digital Twins: A Case Study of a Cantilever Beam
AU - Jonscher, Clemens
AU - Warnken, Stefan
AU - Ragnitz, Jasper
AU - Heinemeyer, Jan
AU - Märtins, David
AU - Möller, Sören
AU - Hofmeister, Benedikt
AU - Rolfes, Raimund
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025/10/1
Y1 - 2025/10/1
N2 - Digital twins are virtual representations of physical systems and are becoming increasingly important in structural health monitoring of engineering structures. However, the applicability of a digital twin highly depends on its ability to stream and process real-time measurement data from the physical system to the digital representation. A data streaming strategy based on Apache Kafka for a real-time capable implementation of digital twins is presented, focusing on model updating using a cantilever beam as a case study. In this setup, measurement data are transferred to a server every second, and modal parameters are identified every 10 s. These identification results are fed into the digital twin of the system, which is continuously updated to accurately reflect the physical behaviour of the cantilever beam. This contribution demonstrates that the condition of the structure can be accurately identified using a digital twin, allowing for real-time decision making.
AB - Digital twins are virtual representations of physical systems and are becoming increasingly important in structural health monitoring of engineering structures. However, the applicability of a digital twin highly depends on its ability to stream and process real-time measurement data from the physical system to the digital representation. A data streaming strategy based on Apache Kafka for a real-time capable implementation of digital twins is presented, focusing on model updating using a cantilever beam as a case study. In this setup, measurement data are transferred to a server every second, and modal parameters are identified every 10 s. These identification results are fed into the digital twin of the system, which is continuously updated to accurately reflect the physical behaviour of the cantilever beam. This contribution demonstrates that the condition of the structure can be accurately identified using a digital twin, allowing for real-time decision making.
KW - Digital Twin
KW - Internet of Things
KW - Model Updating
KW - Structural Health Monitoring
UR - http://www.scopus.com/inward/record.url?scp=105018103910&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-96110-6_99
DO - 10.1007/978-3-031-96110-6_99
M3 - Contribution to book/anthology
SN - 9783031961090
VL - 1
T3 - Experimental Vibration Analysis for Civil Engineering Structures
SP - 997
EP - 1006
BT - Experimental Vibration Analysis for Civil Engineering Structures
A2 - Cunha, Álvaro
A2 - Caetano, Elsa
ER -