IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v254y2025ics0960148125013680.html

Seismic fragility analysis of near-fault mountainous wind turbines considering source-path-site effects

Author

Listed:
  • Wang, Wenze
  • Wang, Jianze
  • Dai, Kaoshan
  • Ba, Zhenning
  • Wu, Mengtao
  • Zhou, Baofeng
  • Sharbati, Reza
  • El Damatty, Ashraf

Abstract

With the increasing demand for renewable energy, the deployment of wind turbines (WTs) in mountainous areas has surged, raising concerns about the associated seismic risk. The seismic fragility of these turbines is governed by a combination of factors, including the characteristics of the seismic source, the propagation paths, and the site-specific conditions. However, there is limited understanding of how these coupled source-path-site effects impact WT fragility, creating a critical knowledge gap that impedes the development of reliable seismic design guidelines for wind farms in mountainous areas. To address this issue, a physics-based method for fragility assessment is proposed, combining scenario-specific ground motion simulations with a hybrid semi-analytical-numerical modeling approach. This methodology integrates three computational components: (i) the frequency-wavenumber (FK) technique to compute the semi-analytical Green's function for a semi-infinite crustal space, (ii) the spectral element method (SEM) for efficient wavefield simulations in heterogeneous terrains, and (iii) the finite element method (FEM) for detailed nonlinear modeling of WT structural responses. The FK-SEM-FEM framework enables end-to-end simulation of seismic wave propagation from fault rupture to the nonlinear structural response of the WTs. The study analyzes the effects of key parameters on the seismic performance of WTs in mountainous regions, and introduces, for the first time, a fragility model for WTs considering diverse mountain geometries. The results indicate that the seismic response of WTs on mountaintops can be amplified by 1.16–3.02 times compared to those at the base. The combined effect of fault rupture mode and local site effects leads to spatially variable damage patterns, making WTs on mountaintops more susceptible to failure. The findings reveal that current seismic design codes for WTs in mountainous areas are inadequate, highlighting the need for immediate updates to address these risks.

Suggested Citation

  • Wang, Wenze & Wang, Jianze & Dai, Kaoshan & Ba, Zhenning & Wu, Mengtao & Zhou, Baofeng & Sharbati, Reza & El Damatty, Ashraf, 2025. "Seismic fragility analysis of near-fault mountainous wind turbines considering source-path-site effects," Renewable Energy, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125013680
    DOI: 10.1016/j.renene.2025.123706
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125013680
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123706?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Yuan, Chenyang & Chen, Jianyun & Li, Jing & Xu, Qiang, 2017. "Fragility analysis of large-scale wind turbines under the combination of seismic and aerodynamic loads," Renewable Energy, Elsevier, vol. 113(C), pages 1122-1134.
    2. Chenyang Yuan & Yunfei Xie & Jing Li & Weifeng Bai & Haohao Li, 2022. "Influence of the Number of Ground Motions on Fragility Analysis of 5 MW Wind Turbines Subjected to Aerodynamic and Seismic Loads Interaction," Energies, MDPI, vol. 15(6), pages 1-18, March.
    3. Sun, Haiying & Yang, Hongxing & Gao, Xiaoxia, 2023. "Investigation into wind turbine wake effect on complex terrain," Energy, Elsevier, vol. 269(C).
    4. Kim, Dong Hyawn & Lee, Sang Geun & Lee, Il Keun, 2014. "Seismic fragility analysis of 5 MW offshore wind turbine," Renewable Energy, Elsevier, vol. 65(C), pages 250-256.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fitzgerald, Breiffni & McAuliffe, James & Baisthakur, Shubham & Sarkar, Saptarshi, 2023. "Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs)," Renewable Energy, Elsevier, vol. 211(C), pages 522-538.
    2. Duc-Vu Ngo & Sang-Il Lee & Dong-Hyawn Kim, 2024. "Seismic Fragility Analysis of Offshore Wind Turbines Considering Site-Specific Ground Responses," Sustainability, MDPI, vol. 16(23), pages 1-27, December.
    3. Mo, Renjie & Cao, Renjing & Liu, Minghou & Li, Miao, 2021. "Effect of ground motion directionality on seismic dynamic responses of monopile offshore wind turbines," Renewable Energy, Elsevier, vol. 175(C), pages 179-199.
    4. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.
    5. Choe, Do-Eun & Ramezani, Mahyar, 2025. "Fragility estimation for performance-based structural design of floating offshore wind turbine components," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
    6. Lee, Yeon-Seung & González, José A. & Lee, Ji Hyun & Kim, Young Il & Park, K.C. & Han, Soonhung, 2016. "Structural topology optimization of the transition piece for an offshore wind turbine with jacket foundation," Renewable Energy, Elsevier, vol. 85(C), pages 1214-1225.
    7. Renjie Mo & Haigui Kang & Miao Li & Xuanlie Zhao, 2017. "Seismic Fragility Analysis of Monopile Offshore Wind Turbines under Different Operational Conditions," Energies, MDPI, vol. 10(7), pages 1-22, July.
    8. Seo, Junwon & Pokhrel, Jharna & Hu, Jong Wan, 2022. "Multi-Hazard Fragility Analysis of Offshore Wind Turbine Portfolios using Surrogate Models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    9. Fan, Shuanglong & Liu, Zhenqing, 2025. "Investigation of fully coupled wind field simulations in complex terrain wind farms considering automatic upwind control of turbines," Renewable Energy, Elsevier, vol. 239(C).
    10. Bowen Yan & Shuangchen Tang & Meng Yu & Guowei Qian & Yao Chen, 2025. "Atmospheric Turbulence Effects on Wind Turbine Wakes over Two-Dimensional Hill: A Wind Tunnel Study," Energies, MDPI, vol. 18(11), pages 1-16, May.
    11. Caputo, Antonio C. & Federici, Alessandro & Pelagagge, Pacifico M. & Salini, Paolo, 2023. "Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty," Applied Energy, Elsevier, vol. 350(C).
    12. Liu, Yingzhou & Li, Xin & Shi, Wei & Wang, Wenhua & Jiang, Zhiyu, 2024. "Vibration control of a monopile offshore wind turbines under recorded seismic waves," Renewable Energy, Elsevier, vol. 226(C).
    13. Zhanpu Xue & Hao Zhang & Yunguang Ji, 2023. "Dynamic Response of a Flexible Multi-Body in Large Wind Turbines: A Review," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    14. Mian, H.H. & Machot, F.A. & Ullah, H. & Keprate, A. & Siddiqui, M.S., 2025. "Advances in computational intelligence for floating offshore wind turbines aerodynamics: Current state review and future potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 224(C).
    15. Liu, Wenyi, 2016. "Design and kinetic analysis of wind turbine blade-hub-tower coupled system," Renewable Energy, Elsevier, vol. 94(C), pages 547-557.
    16. Yu Hu & Jian Yang & Charalampos Baniotopoulos, 2020. "Repowering Steel Tubular Wind Turbine Towers Enhancing them by Internal Stiffening Rings," Energies, MDPI, vol. 13(7), pages 1-23, March.
    17. Wang, Mingwei & Zhang, Mingming & Qin, Caiyan & Sun, Haiying & Deng, Xiaowei, 2026. "A data-driven double-Gaussian wake model reflecting the wake evolution process," Renewable Energy, Elsevier, vol. 257(C).
    18. Renqiang Xi & Piguang Wang & Xiuli Du & Chengshun Xu & Junbo Jia, 2020. "Evaluation of an Uncoupled Method for Analyzing the Seismic Response of Wind Turbines Excited by Wind and Earthquake Loads," Energies, MDPI, vol. 13(15), pages 1-27, July.
    19. Zhang, Kai & Cao, Peiyu & Liang, Yuming & Wang, Zilong & Gu, Qingqing, 2025. "Effect of blade-to-blade wake interference on aerodynamic performance of darrieus vertical axis wind turbines," Energy, Elsevier, vol. 337(C).
    20. Cong, Shuai & James Hu, Sau-Lon & Li, Hua-Jun, 2022. "Using incomplete complex modes for model updating of monopiled offshore wind turbines," Renewable Energy, Elsevier, vol. 181(C), pages 522-534.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125013680. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.