Details
| Original language | English |
|---|---|
| Title of host publication | 8th European Workshop on Structural Health Monitoring, EWSHM 2016 |
| Pages | 2321-2330 |
| Number of pages | 10 |
| ISBN (electronic) | 9781510827936 |
| Publication status | Published - 2016 |
| Event | 8th European Workshop on Structural Health Monitoring, EWSHM 2016 - Bilbao, Spain Duration: 5 Jul 2016 → 8 Jul 2016 |
Publication series
| Name | 8th European Workshop on Structural Health Monitoring, EWSHM 2016 |
|---|---|
| Volume | 3 |
Abstract
In this paper a method for damage localization using finite element model updating is introduced as a subsequent step to a three tier SHM scheme for damage detection. Modal parameters are used for the formulation of an objective function of an optimization problem. This problem is solved using sequential quadratic programming. The proposed approach is applied to two examples. The first is a purely numerical benchmark that proves the functionality of the algorithm for damage localization. The second example is a scaled model of a wind energy converter on a tripile structure with real damage. The algorithm is able to locate damages with a small disturbance of the initial parameters, but it reveals a poor convergence behaviour. This is assumed to be caused by the Maratos effect.
Keywords
- Experimental validation, Model updating, Sequential quadratic programming
ASJC Scopus subject areas
- Health Professions(all)
- Health Information Management
- Computer Science(all)
- Computer Science Applications
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8th European Workshop on Structural Health Monitoring, EWSHM 2016. 2016. p. 2321-2330 (8th European Workshop on Structural Health Monitoring, EWSHM 2016; Vol. 3).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Damage localization at wind turbine support structures using sequential quadratic programming for model updating
AU - Schröder, Karsten
AU - Gebhardt, Cristian G.
AU - Rolfes, Raimund
PY - 2016
Y1 - 2016
N2 - In this paper a method for damage localization using finite element model updating is introduced as a subsequent step to a three tier SHM scheme for damage detection. Modal parameters are used for the formulation of an objective function of an optimization problem. This problem is solved using sequential quadratic programming. The proposed approach is applied to two examples. The first is a purely numerical benchmark that proves the functionality of the algorithm for damage localization. The second example is a scaled model of a wind energy converter on a tripile structure with real damage. The algorithm is able to locate damages with a small disturbance of the initial parameters, but it reveals a poor convergence behaviour. This is assumed to be caused by the Maratos effect.
AB - In this paper a method for damage localization using finite element model updating is introduced as a subsequent step to a three tier SHM scheme for damage detection. Modal parameters are used for the formulation of an objective function of an optimization problem. This problem is solved using sequential quadratic programming. The proposed approach is applied to two examples. The first is a purely numerical benchmark that proves the functionality of the algorithm for damage localization. The second example is a scaled model of a wind energy converter on a tripile structure with real damage. The algorithm is able to locate damages with a small disturbance of the initial parameters, but it reveals a poor convergence behaviour. This is assumed to be caused by the Maratos effect.
KW - Experimental validation
KW - Model updating
KW - Sequential quadratic programming
UR - http://www.scopus.com/inward/record.url?scp=84995407514&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84995407514
T3 - 8th European Workshop on Structural Health Monitoring, EWSHM 2016
SP - 2321
EP - 2330
BT - 8th European Workshop on Structural Health Monitoring, EWSHM 2016
T2 - 8th European Workshop on Structural Health Monitoring, EWSHM 2016
Y2 - 5 July 2016 through 8 July 2016
ER -