Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 29th European Safety and Reliability Conference (ESREL) |
| Untertitel | 22-26 September 2019, Hannover, Germany |
| Herausgeber/-innen | Michael Beer, Enrico Zio |
| Erscheinungsort | Europe |
| Seiten | 1125-1132 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9789811127243 |
| Publikationsstatus | Veröffentlicht - 2019 |
| Veranstaltung | 29th European Safety and Reliability Conference, ESREL 2019 - Leibniz University Hannover, Hannover, Deutschland Dauer: 22 Sept. 2019 → 26 Sept. 2019 |
Abstract
With this work, we present a comparative study of parameterization methods in finite element (FE) model updating with the goal to localize damage in a wind turbine rotor blade. The choice of design variables greatly impacts the quality of the model updating procedure. A common approach is to determine geometric regions where the probability of an emerging defect is known to be high, based on experience or prior knowledge. Then, mechanical properties of these susceptible regions are directly fitted to measured behavior in order to find the position where damage has occurred. A large number of such regions can result in an objective value space with many local minima, making numerical optimization unfeasible. To alleviate this problem, we introduce a stiffness (i.e. damage) distribution function that is described by only few parameters. By employing a cumulative distribution function, the proposed parameterization is independent of the FE mesh resolution as well as of prior assumptions about the defect location. We compare the proposed parameterization to the commonly used method, that directly uses mechanical properties of geometric regions as design variables. We employ the two parameterizations in FE model updating of a typical wind turbine rotor blade, where we introduce a fictitious defect to simulate the target state.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Sicherheit, Risiko, Zuverlässigkeit und Qualität
- Sozialwissenschaften (insg.)
- Sicherheitsforschung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Proceedings of the 29th European Safety and Reliability Conference (ESREL): 22-26 September 2019, Hannover, Germany. Hrsg. / Michael Beer; Enrico Zio. Europe, 2019. S. 1125-1132.
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Comparative study of parameterizations for damage localization with finite element model updating
AU - Bruns, Marlene
AU - Hofmeister, Benedikt
AU - Grießmann, Tanja
AU - Rolfes, Raimund
N1 - Funding information: We greatly acknowledge the financial support of the German Federal Ministry for Economic Affairs and Energy (research project Multivariates Schadensmonitoring von Rotorblättern, FKZ 0324157A) and Deutsche Bundesstiftung Umwelt (research project Gebrauchstauglichkeit und Komfort von dynamisch beanspruchten Holztragwerken im urbanen mehrgeschossigen Hochbau, AZ 34548/01-25) that enabled this work.
PY - 2019
Y1 - 2019
N2 - With this work, we present a comparative study of parameterization methods in finite element (FE) model updating with the goal to localize damage in a wind turbine rotor blade. The choice of design variables greatly impacts the quality of the model updating procedure. A common approach is to determine geometric regions where the probability of an emerging defect is known to be high, based on experience or prior knowledge. Then, mechanical properties of these susceptible regions are directly fitted to measured behavior in order to find the position where damage has occurred. A large number of such regions can result in an objective value space with many local minima, making numerical optimization unfeasible. To alleviate this problem, we introduce a stiffness (i.e. damage) distribution function that is described by only few parameters. By employing a cumulative distribution function, the proposed parameterization is independent of the FE mesh resolution as well as of prior assumptions about the defect location. We compare the proposed parameterization to the commonly used method, that directly uses mechanical properties of geometric regions as design variables. We employ the two parameterizations in FE model updating of a typical wind turbine rotor blade, where we introduce a fictitious defect to simulate the target state.
AB - With this work, we present a comparative study of parameterization methods in finite element (FE) model updating with the goal to localize damage in a wind turbine rotor blade. The choice of design variables greatly impacts the quality of the model updating procedure. A common approach is to determine geometric regions where the probability of an emerging defect is known to be high, based on experience or prior knowledge. Then, mechanical properties of these susceptible regions are directly fitted to measured behavior in order to find the position where damage has occurred. A large number of such regions can result in an objective value space with many local minima, making numerical optimization unfeasible. To alleviate this problem, we introduce a stiffness (i.e. damage) distribution function that is described by only few parameters. By employing a cumulative distribution function, the proposed parameterization is independent of the FE mesh resolution as well as of prior assumptions about the defect location. We compare the proposed parameterization to the commonly used method, that directly uses mechanical properties of geometric regions as design variables. We employ the two parameterizations in FE model updating of a typical wind turbine rotor blade, where we introduce a fictitious defect to simulate the target state.
KW - Damage localization
KW - Finite element method
KW - Model updating
KW - Numerical optimization
KW - Wind energy
UR - http://www.scopus.com/inward/record.url?scp=85089180270&partnerID=8YFLogxK
U2 - 10.3850/978-981-11-2724-3_0713-cd
DO - 10.3850/978-981-11-2724-3_0713-cd
M3 - Conference contribution
AN - SCOPUS:85089180270
SP - 1125
EP - 1132
BT - Proceedings of the 29th European Safety and Reliability Conference (ESREL)
A2 - Beer, Michael
A2 - Zio, Enrico
CY - Europe
T2 - 29th European Safety and Reliability Conference, ESREL 2019
Y2 - 22 September 2019 through 26 September 2019
ER -