High-Fidelity Framework for Fluid–Structure Interaction Analysis of Jet-Engine Turbine Blades Under Vibratory Loading

Authors

  • Sheharyar Nasir Doctoral Student at Department of Aerospace, University of Kansas, USA
  • Kamran Hashmi Doctoral Student at School of Chemical & Materials Engineering, National University of Science & Technology, Pakistan.
  • Haroon Saqlain Khan Graduate Researcher; School of Chemical & Materials Engineering, National University of Science & Technology, Pakistan

DOI:

https://doi.org/10.61359/11.2106-2605

Keywords:

Jet-Engine Turbine, Elasticity, Turbine Blades, CFD

Abstract

Aeroelastic interactions play a decisive role in the performance, structural integrity, and service life of turbomachinery components, with jet engine turbine blades being particularly vulnerable due to their exposure to severe aerodynamic and structural loading. Dynamic fluid–structure interactions can excite complex vibration modes, leading to resonance, fatigue, and even catastrophic failure. While the importance of these effects is well recognized, computational investigations remain scarce, and many existing studies rely on specialized, non-generalizable in-house codes. This study bridges that gap by developing a high-fidelity, generalizable computational framework capable of accurately capturing the coupled aeroelastic behavior of turbine blades under realistic vibratory aerodynamic loading. The framework integrates advanced structural dynamics analysis extracting natural frequencies, harmonic responses, and transient behavior—with unsteady Computational Fluid Dynamics (CFD) to resolve time-dependent aerodynamic forces. A tightly coupled two-way Fluid–Structure Interaction (FSI) strategy is employed to fully account for the mutual influence between aerodynamic loading and structural deformation. Validation against available experimental data demonstrates the framework’s predictive reliability and robustness. The results yield critical insights into the dynamic response and aeroelastic stability of turbine blades, offering a practical tool for the design and optimization of next-generation aero-propulsion systems with enhanced performance and durability.

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Author Biography

  • Sheharyar Nasir, Doctoral Student at Department of Aerospace, University of Kansas, USA

    I am Sheharyar Nasir, currently a PhD candidate in the Aerospace Engineering Department at the University of Kansas. I serve as a Graduate Research Assistant in the Computational Aero‑Propulsion Lab (CAPL), where my work focuses on advancing the modeling and simulation of aerodynamics and combustion systems. My research portfolio spans aerodynamics, combustion modeling, artificial intelligence/machine learning, propulsion, and renewable energy systems, particularly wind turbines. I am deeply interested in applying data-driven methodologies to complex fluid and combustion phenomena and would welcome the opportunity to discuss potential collaborations or share insights.

References

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Published

2026-03-30

How to Cite

High-Fidelity Framework for Fluid–Structure Interaction Analysis of Jet-Engine Turbine Blades Under Vibratory Loading. (2026). Acceleron Aerospace Journal, 6(1), 1682-1695. https://doi.org/10.61359/11.2106-2605

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