Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014 - Publication - Bridge of Knowledge

Search

Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014

Abstract

Since offshore wind turbine supporting structures are subjected to dynamic environments with time-varying loading conditions, it is important to model their dynamic behavior and validate these models by means of vibrational experiments. In this paper assessment of dynamical state of the structure is investigated by means of both: numerical modeling, and experimental modal analysis. In experimental modal analysis, capturing the real dynamic behavior of tested structure requires a proper sensors and exciters localization. It is often useful to know probable dynamical behavior of the structure before experimental campaign planning. Therefore, the initial FE model results are exploited in order to predict the best configuration for a measuring equipment placement. Acquired test results are compared with FE solutions subsequently. Such a routine allows to asses quality of the preliminary numerical model on the global level, and along with a sensitivity analysis assemble a good starting point for fine-tuning of FE model.

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014 strony 3659 - 3666
Language:
English
Publication year:
2014
Bibliographic description:
Kahsin M.: Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014// Proceedings of the 9th International Conference on Structural Dynamics, EURODYN 2014/ ed. A. Cunha, E. Caetano, P. Ribeiro, G. Müller Porto, Portugal: European Association for Structural Dynamics, 2014, s.3659-3666
Verified by:
Gdańsk University of Technology

seen 144 times

Recommended for you

Meta Tags