Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019 |
| Editors | Michael Beer, Enrico Zio |
| Place of Publication | Singapur |
| Pages | 2679-2684 |
| Number of pages | 6 |
| ISBN (electronic) | 9789811127243 |
| Publication status | Published - 2020 |
| Event | 29th European Safety and Reliability Conference, ESREL 2019 - Leibniz University Hannover, Hannover, Germany Duration: 22 Sept 2019 → 26 Sept 2019 |
Abstract
The typical model updating techniques mainly focus on calibrating the model parameters, e.g. Young's modulus and density, while being inefficient for the model form error due to the inevitable approximation and simplification during numerical modeling. In this paper, an integrated model updating approach for both uncertain material parameters and model form error is proposed. This objective is achieved by a combined optimisation procedure, where both material parameters and shape basis vectors serve as design variables in order to capture uncertainties related to the geometry of the structure and variability of Young's modulus and density. This approach is validated via an updating process of a solid finite element model with regard to the practical experiment, where a nearly-periodic beam is considered. The approximately periodic property, i.e. unequal length and unsteady thickness of different sections, clearly introduce severe model form error in the finite element model of the beam. The updating results show that the predicted natural frequencies are calibrated with a high precision, implying that both the parameter uncertainty and the modelling uncertainty are reduced in the uniform updating framework.
Keywords
- Modal Assurance Criterion, Modal Correlation, Mode Tracking, Model Updating, Optimization
ASJC Scopus subject areas
- Engineering(all)
- Safety, Risk, Reliability and Quality
- Social Sciences(all)
- Safety Research
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Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019. ed. / Michael Beer; Enrico Zio. Singapur, 2020. p. 2679-2684.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Model updating of model parameters and model form error in a uniform framework
AU - Bi, Sifeng
AU - Wagner, Nils
AU - Beer, Michael
AU - Ouisse, Morvan
N1 - Funding information: This work is supported by the Alexander von Humboldt Foundation, which is greatly acknowledged.
PY - 2020
Y1 - 2020
N2 - The typical model updating techniques mainly focus on calibrating the model parameters, e.g. Young's modulus and density, while being inefficient for the model form error due to the inevitable approximation and simplification during numerical modeling. In this paper, an integrated model updating approach for both uncertain material parameters and model form error is proposed. This objective is achieved by a combined optimisation procedure, where both material parameters and shape basis vectors serve as design variables in order to capture uncertainties related to the geometry of the structure and variability of Young's modulus and density. This approach is validated via an updating process of a solid finite element model with regard to the practical experiment, where a nearly-periodic beam is considered. The approximately periodic property, i.e. unequal length and unsteady thickness of different sections, clearly introduce severe model form error in the finite element model of the beam. The updating results show that the predicted natural frequencies are calibrated with a high precision, implying that both the parameter uncertainty and the modelling uncertainty are reduced in the uniform updating framework.
AB - The typical model updating techniques mainly focus on calibrating the model parameters, e.g. Young's modulus and density, while being inefficient for the model form error due to the inevitable approximation and simplification during numerical modeling. In this paper, an integrated model updating approach for both uncertain material parameters and model form error is proposed. This objective is achieved by a combined optimisation procedure, where both material parameters and shape basis vectors serve as design variables in order to capture uncertainties related to the geometry of the structure and variability of Young's modulus and density. This approach is validated via an updating process of a solid finite element model with regard to the practical experiment, where a nearly-periodic beam is considered. The approximately periodic property, i.e. unequal length and unsteady thickness of different sections, clearly introduce severe model form error in the finite element model of the beam. The updating results show that the predicted natural frequencies are calibrated with a high precision, implying that both the parameter uncertainty and the modelling uncertainty are reduced in the uniform updating framework.
KW - Modal Assurance Criterion
KW - Modal Correlation
KW - Mode Tracking
KW - Model Updating
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85089188276&partnerID=8YFLogxK
U2 - 10.3850/978-981-11-2724-3_0972-cd
DO - 10.3850/978-981-11-2724-3_0972-cd
M3 - Conference contribution
AN - SCOPUS:85089188276
SP - 2679
EP - 2684
BT - Proceedings of the 29th European Safety and Reliability Conference, ESREL 2019
A2 - Beer, Michael
A2 - Zio, Enrico
CY - Singapur
T2 - 29th European Safety and Reliability Conference, ESREL 2019
Y2 - 22 September 2019 through 26 September 2019
ER -