Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | European Workshop on Structural Health Monitoring |
| Herausgeber/-innen | Piervincenzo Rizzo, Alberto Milazzo |
| Seiten | 902-911 |
| Seitenumfang | 10 |
| Band | 3 |
| Publikationsstatus | Veröffentlicht - 22 Juni 2022 |
Publikationsreihe
| Name | Lecture Notes in Civil Engineering |
|---|---|
| Band | 270 LNCE |
| ISSN (Print) | 2366-2557 |
| ISSN (elektronisch) | 2366-2565 |
Abstract
In this work, the influence of environmental conditions and damage on structures with closely spaced modes is investigated. Closely spaced bending modes are typical for symmetrical structures, such as towers. When monitoring such structures, identifying the mode shapes in particular is a challenge. In addition to environmental effects, the identification uncertainty is elevated for closely spaced modes, which leads to higher scatter in the identified mode shapes. In order to be able to investigate and quantify the influences, data from a structure with repairable damage is used. In particular, the investigation is carried out on long-term measurement data of the Leibniz University Test Structure for Monitoring (LUMO). LUMO enables the examination of different damage positions under ambient excitation and environmental conditions. For the identification, Bayesian Operational Modal Analysis (BAYOMA) is used. By considering the uncertainty of the modal parameters, especially for the mode shapes, a better understanding of the influence of damage and environmental conditions on the structure can be obtained. This is helpful for further monitoring stages, such as damage localisation using modal updating.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Tief- und Ingenieurbau
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European Workshop on Structural Health Monitoring. Hrsg. / Piervincenzo Rizzo; Alberto Milazzo. Band 3 2022. S. 902-911 (Lecture Notes in Civil Engineering; Band 270 LNCE).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Influence of Environmental Conditions and Damage on Closely Spaced Modes
AU - Jonscher, Clemens
AU - Hofmeister, Benedikt
AU - Grießmann, Tanja
AU - Rolfes, Raimund
N1 - Funding Information: The authors greatly acknowledge the financial support provided by the Federal Ministry for Economic Affairs and Energy of the Federal Republic of Germany within the framework of the joint research projects PreciWind-Precise measuring system for contactless recording and analysis of the dynamic flow behaviour of wind turbine rotor blades (FKZ 03EE3013B) and DFWind-German Research Facility for Wind Energy (FKZ 0325936E).
PY - 2022/6/22
Y1 - 2022/6/22
N2 - In this work, the influence of environmental conditions and damage on structures with closely spaced modes is investigated. Closely spaced bending modes are typical for symmetrical structures, such as towers. When monitoring such structures, identifying the mode shapes in particular is a challenge. In addition to environmental effects, the identification uncertainty is elevated for closely spaced modes, which leads to higher scatter in the identified mode shapes. In order to be able to investigate and quantify the influences, data from a structure with repairable damage is used. In particular, the investigation is carried out on long-term measurement data of the Leibniz University Test Structure for Monitoring (LUMO). LUMO enables the examination of different damage positions under ambient excitation and environmental conditions. For the identification, Bayesian Operational Modal Analysis (BAYOMA) is used. By considering the uncertainty of the modal parameters, especially for the mode shapes, a better understanding of the influence of damage and environmental conditions on the structure can be obtained. This is helpful for further monitoring stages, such as damage localisation using modal updating.
AB - In this work, the influence of environmental conditions and damage on structures with closely spaced modes is investigated. Closely spaced bending modes are typical for symmetrical structures, such as towers. When monitoring such structures, identifying the mode shapes in particular is a challenge. In addition to environmental effects, the identification uncertainty is elevated for closely spaced modes, which leads to higher scatter in the identified mode shapes. In order to be able to investigate and quantify the influences, data from a structure with repairable damage is used. In particular, the investigation is carried out on long-term measurement data of the Leibniz University Test Structure for Monitoring (LUMO). LUMO enables the examination of different damage positions under ambient excitation and environmental conditions. For the identification, Bayesian Operational Modal Analysis (BAYOMA) is used. By considering the uncertainty of the modal parameters, especially for the mode shapes, a better understanding of the influence of damage and environmental conditions on the structure can be obtained. This is helpful for further monitoring stages, such as damage localisation using modal updating.
KW - Closely spaced modes
KW - Damage detection
KW - Environmental effects
UR - http://www.scopus.com/inward/record.url?scp=85134341523&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-07322-9_91
DO - 10.1007/978-3-031-07322-9_91
M3 - Conference contribution
SN - 9783031073212
SN - 9783031073229
VL - 3
T3 - Lecture Notes in Civil Engineering
SP - 902
EP - 911
BT - European Workshop on Structural Health Monitoring
A2 - Rizzo, Piervincenzo
A2 - Milazzo, Alberto
ER -