Energy-based wind vibration control of turbines equipped with nonlinear tuned mass damper inerter considering soil-structure interaction

This study evaluates the effectiveness of a Nonlinear Tuned Mass Damper Inerter (NTMDI) in mitigating wind-induced vibrations in wind turbines, with explicit consideration of soil–structure interaction (SSI). Kinetic energy is selected as the primary response metric, supported by nacelle displacement, total structural energy, soil energy absorption, acceleration reduction, and residual soil energy to provide a comprehensive assessment. A detailed numerical model is developed in OpenSees, incorporating SSI effects and subjected to turbulent wind loads generated using the Shinozuka method. NTMDI parameters are optimized using the Multi-Objective Cuckoo Search Algorithm (MOCS) to balance kinetic-energy minimization, displacement suppression, and soil-energy management. The results show that NTMDI implementation achieves approximately 45% reduction in total kinetic energy, 20% reduction in nacelle displacement, and 25% reduction in tower acceleration relative to the uncontrolled system. When SSI is considered, the NTMDI further improves performance by reducing soil energy demand by an additional 15–20%, highlighting the importance of absorber–soil coupling. Compared with traditional TMDIs, the NTMDI exhibits superior adaptability and efficiency, particularly for flexible foundations. These findings confirm NTMDIs as an effective passive control strategy for enhancing wind-turbine stability.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Published
2025-12-26
DOI
https://doi.org/10.1177/09576509251412557
Citations
2
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
1.91
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy-based wind vibration control of turbines equipped with nonlinear tuned mass damper inerter considering soil-structure interaction

Onur Araz, Mohammad Alibabaei Shahraki
2 citations
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Vibration Control and Rheological Fluids
1.91
article

Energy-based wind vibration control of turbines equipped with nonlinear tuned mass damper inerter considering soil-structure interaction

Onur Araz, Mohammad Alibabaei Shahraki
article en
2 citations

Abstract

This study evaluates the effectiveness of a Nonlinear Tuned Mass Damper Inerter (NTMDI) in mitigating wind-induced vibrations in wind turbines, with explicit consideration of soil–structure interaction (SSI). Kinetic energy is selected as the primary response metric, supported by nacelle displacement, total structural energy, soil energy absorption, acceleration reduction, and residual soil energy to provide a comprehensive assessment. A detailed numerical model is developed in OpenSees, incorporating SSI effects and subjected to turbulent wind loads generated using the Shinozuka method. NTMDI parameters are optimized using the Multi-Objective Cuckoo Search Algorithm (MOCS) to balance kinetic-energy minimization, displacement suppression, and soil-energy management. The results show that NTMDI implementation achieves approximately 45% reduction in total kinetic energy, 20% reduction in nacelle displacement, and 25% reduction in tower acceleration relative to the uncontrolled system. When SSI is considered, the NTMDI further improves performance by reducing soil energy demand by an additional 15–20%, highlighting the importance of absorber–soil coupling. Compared with traditional TMDIs, the NTMDI exhibits superior adaptability and efficiency, particularly for flexible foundations. These findings confirm NTMDIs as an effective passive control strategy for enhancing wind-turbine stability.

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Gümüşhane University (TR), Technical and Vocational University (IR)
Affordable and clean energy
Openalex Percentile: Top 12%
Vibration Control and Rheological Fluids
1.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.