Structural Optimization of Wind Turbine System Utilizing Biomimicry and Structural Health Monitoring

Wind turbines, despite being a sustainable and environmentally friendly method of electricity generation, often suffer structural damage during storms or typhoons. To enhance their resilience under such conditions, this study proposes two optimization strategies: (i) palm leaf–inspired blades and (ii) multi-rotor spatial layouts. Laboratory-scale experiments were conducted on centimeter-scale 3D-printed models (approximately 1:1000 scale representation), and specimens were tested in a custom-built wind tunnel. The inflow was steady ([Formula: see text]23.7[Formula: see text]m/s) and conditioned by a collimator, serving as a proxy for severe wind conditions. Inclination and vibration were monitored, and the data were analyzed using Fourier transforms, t-tests, and ANOVA. The results showed that the palm leaf–inspired design exhibited inferior performance compared to conventional blades, suggesting limited applicability in this context. The three-rotor system achieved the smallest average inclination angles (3.36[Formula: see text] lateral, 3.08[Formula: see text] forward), indicating lower tower-base bending demand and a greater stability margin (i.e. delayed buckling), and the lowest vibration response (0.341), indicating reduced cyclic stress amplitudes and improved fatigue resistance. These findings highlight the three-rotor system as a promising design for enhancing wind turbine resilience under storm-level wind conditions.

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Publication Details

Journal
International Journal of Structural Stability and Dynamics
Published
2025-11-04
DOI
https://doi.org/10.1142/s0219455427501276
Primary Topic
Wind Energy Research and Development
Type
article
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article

Structural Optimization of Wind Turbine System Utilizing Biomimicry and Structural Health Monitoring

Shan Gao, Bingyin Gao, Zhenhua Huang, Jingxuan Wang et al.
International Journal of Structural Stability and Dynamics
Wind Energy Research and Development
article

Structural Optimization of Wind Turbine System Utilizing Biomimicry and Structural Health Monitoring

Shan Gao, Bingyin Gao, Zhenhua Huang, Jingxuan Wang, Xie Bing
article en

Abstract

Wind turbines, despite being a sustainable and environmentally friendly method of electricity generation, often suffer structural damage during storms or typhoons. To enhance their resilience under such conditions, this study proposes two optimization strategies: (i) palm leaf–inspired blades and (ii) multi-rotor spatial layouts. Laboratory-scale experiments were conducted on centimeter-scale 3D-printed models (approximately 1:1000 scale representation), and specimens were tested in a custom-built wind tunnel. The inflow was steady ([Formula: see text]23.7[Formula: see text]m/s) and conditioned by a collimator, serving as a proxy for severe wind conditions. Inclination and vibration were monitored, and the data were analyzed using Fourier transforms, t-tests, and ANOVA. The results showed that the palm leaf–inspired design exhibited inferior performance compared to conventional blades, suggesting limited applicability in this context. The three-rotor system achieved the smallest average inclination angles (3.36[Formula: see text] lateral, 3.08[Formula: see text] forward), indicating lower tower-base bending demand and a greater stability margin (i.e. delayed buckling), and the lowest vibration response (0.341), indicating reduced cyclic stress amplitudes and improved fatigue resistance. These findings highlight the three-rotor system as a promising design for enhancing wind turbine resilience under storm-level wind conditions.

International Journal of Structural Stability and Dynamics
University of North Texas (US), China Mobile (China) (CN), Harbin Institute of Technology (CN), Lanzhou University of Technology (CN), Southeast University (CN)
Openalex Percentile: Top 56%
Wind Energy Research and Development
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Structural Optimization of Wind Turbine System Utilizing Biomimicry and Structural Health Monitoring — Shan Gao, Bingyin Gao, et al. · International Journal of Structural Stability and Dynamics (2025) | TGRS Research Map | TGRS