A Caltech Library Service

Structural Identification for Dynamic Strain Estimation in Wind Turbine Towers

Nabiyan, Mansure and Ebrahimian, Hamed and Moaveni, Babak and Khoshnoudian, Faramarz (2018) Structural Identification for Dynamic Strain Estimation in Wind Turbine Towers. In: Dynamics of Civil Structures. Conference Proceedings of the Society for Experimental Mechanics Series. Vol.2. Springer , Cham, pp. 239-245. ISBN 978-3-319-74420-9.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


Fatigue is a common issue in steel structures such as wind turbine towers, which is caused by cyclic wind and wave excitations. Therefore, estimation of the remaining fatigue life of the structural and foundation system is of concern. For this purpose, continuous monitoring of the structure is necessary to obtain strain data at fatigue critical points. Since installing and maintaining strain sensors in critical underwater location is difficult, strain data is often available only from a few sensors at accessible locations. Using these sparse sensors, the strain time histories at fatigue critical points can be estimated using estimation techniques. These techniques can identify the structural system using limited measured response data and a system model. In this paper, we implement a model updating approach followed by modal expansion to estimate the strain time history at critical points in a numerical case study representing an offshore wind turbine tower. The acceleration response of the structure is simulated using a finite element model and polluted with Gaussian white noise to represent measurements. The measurements are then used for model updating and strain estimation. The accuracy of the methods and their robustness to the measurement noise and model uncertainty are investigated. The estimated strain response time histories can later be used as input to an appropriate fatigue damage model to estimate the current state of fatigue damage in the system.

Item Type:Book Section
Related URLs:
URLURL TypeDescription ReadCube access
Additional Information:© 2019 The Society for Experimental Mechanics, Inc. First Online: 12 June 2018. Partial support of this study by the National Science Foundation Grant 1254338 is gratefully acknowledged. The opinions, findings, and conclusions expressed in this paper are those of the authors and do not necessarily represent the views of the sponsors and organizations involved in this project.
Funding AgencyGrant Number
Subject Keywords:System identification; Modal parameters; Model updating; Strain estimation; Modal expansion
Series Name:Conference Proceedings of the Society for Experimental Mechanics Series
Record Number:CaltechAUTHORS:20200827-135426609
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105130
Deposited By: Tony Diaz
Deposited On:27 Aug 2020 21:09
Last Modified:27 Aug 2020 21:09

Repository Staff Only: item control page