Foundation stiffness in the linear modeling of wind turbines

Chih-Hung Chiang; Chih-Peng Yu; Yan-Hao Chen; Jiunnren Lai; Keng-Tsang Hsu; Chia-Chi Cheng

doi:10.1117/12.2260662

19 April 2017 Foundation stiffness in the linear modeling of wind turbines

Chih-Hung Chiang, Chih-Peng Yu, Yan-Hao Chen, Jiunnren Lai, Keng-Tsang Hsu, Chia-Chi Cheng

Proceedings Volume 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017; 101691S (2017) https://doi.org/10.1117/12.2260662
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Effects of foundation stiffness on the linear vibrations of wind turbine systems are of concerns for both planning and construction of wind turbine systems. Current study performed numerical modeling for such a problem using linear spectral finite elements. The effects of foundation stiffness were investigated for various combinations of shear wave velocity of soil, size of tower base plate, and pile length. Multiple piles are also included in the models such that the foundation stiffness can be analyzed more realistically. The results indicate that the shear wave velocity of soil and the size of tower base plate have notable effects on the dominant frequency of the turbine-tower system. The larger the lateral dimension, the stiffer the foundation. Large pile cap and multiple spaced piles result in higher stiffness than small pile cap and a mono-pile. The lateral stiffness of a mono-pile mainly depends on the shear wave velocity of soil with the exception for a very short pile that the end constraints may affect the lateral vibration of the superstructure. Effective pile length may be determined by comparing the simulation results of the frictional pile to those of the end-bearing pile.

Citation Download Citation

Chih-Hung Chiang, Chih-Peng Yu, Yan-Hao Chen, Jiunnren Lai, Keng-Tsang Hsu, and Chia-Chi Cheng "Foundation stiffness in the linear modeling of wind turbines", Proc. SPIE 10169, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2017, 101691S (19 April 2017); https://doi.org/10.1117/12.2260662

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