Details
| Titel in Übersetzung | Validation of data- and model-based methods for damage locations |
|---|---|
| Originalsprache | Deutsch |
| Seiten (von - bis) | 433-440 |
| Seitenumfang | 8 |
| Fachzeitschrift | BAUTECHNIK |
| Jahrgang | 99 |
| Ausgabenummer | 6 |
| Frühes Online-Datum | 5 Apr. 2022 |
| Publikationsstatus | Veröffentlicht - 20 Juni 2022 |
Abstract
Validation of data- and model-based methods for damage locations. Civil engineering structures are, inter alia, characterised by their individuality and longevity. Therefore, monitoring of such structures is decisive. Structural health monitoring methods are able to detect, localise and even quantify damage or structural changes in general. In combination with numerical modelling, it is possible to create digital twins. Digital twins represent structures over their entire lifetime. Therefore, they can help to optimise both design and operation of a structure. A challenge for developing structural health monitoring methods is their validation in the context of real applications. Therefore, this paper presents a benchmark structure, which has explicitly been designed for validating structural health monitoring methods. Monitoring data from this structure is freely available for research and industrial purposes. Two different methods (data- and model-based) for damage localisation are presented, compared and validated.
Schlagwörter
- Digital design/Optimization, benchmark structure, damage localization, structural health monitoring
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
- Ingenieurwesen (insg.)
- Bauwesen
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in: BAUTECHNIK, Jahrgang 99, Nr. 6, 20.06.2022, S. 433-440.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Validierung von daten‐ und modellbasierten Methoden zur Schadenslokalisierung
AU - Hübler, Clemens
AU - Hofmeister, Benedikt
AU - Wernitz, Stefan
AU - Rolfes, Raimund
PY - 2022/6/20
Y1 - 2022/6/20
N2 - Validation of data- and model-based methods for damage locations. Civil engineering structures are, inter alia, characterised by their individuality and longevity. Therefore, monitoring of such structures is decisive. Structural health monitoring methods are able to detect, localise and even quantify damage or structural changes in general. In combination with numerical modelling, it is possible to create digital twins. Digital twins represent structures over their entire lifetime. Therefore, they can help to optimise both design and operation of a structure. A challenge for developing structural health monitoring methods is their validation in the context of real applications. Therefore, this paper presents a benchmark structure, which has explicitly been designed for validating structural health monitoring methods. Monitoring data from this structure is freely available for research and industrial purposes. Two different methods (data- and model-based) for damage localisation are presented, compared and validated.
AB - Validation of data- and model-based methods for damage locations. Civil engineering structures are, inter alia, characterised by their individuality and longevity. Therefore, monitoring of such structures is decisive. Structural health monitoring methods are able to detect, localise and even quantify damage or structural changes in general. In combination with numerical modelling, it is possible to create digital twins. Digital twins represent structures over their entire lifetime. Therefore, they can help to optimise both design and operation of a structure. A challenge for developing structural health monitoring methods is their validation in the context of real applications. Therefore, this paper presents a benchmark structure, which has explicitly been designed for validating structural health monitoring methods. Monitoring data from this structure is freely available for research and industrial purposes. Two different methods (data- and model-based) for damage localisation are presented, compared and validated.
KW - Digital design/Optimization
KW - benchmark structure
KW - damage localization
KW - structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85129355587&partnerID=8YFLogxK
U2 - 10.1002/bate.202200015
DO - 10.1002/bate.202200015
M3 - Artikel
VL - 99
SP - 433
EP - 440
JO - BAUTECHNIK
JF - BAUTECHNIK
SN - 0340-5044
IS - 6
ER -