• Kaushal Kishor
• Anjani Kumar Singh

This research presents the development and implementation of predictive computational models for failure analysis in turbine blades of high-performance gas turbine engines. By integrating classical analytical methods with advanced computational techniques using MATLAB, the study simulates the complex mechanical behaviour of turbine blades under extreme thermal, aerodynamic, and centrifugal forces. The methodology encompasses finite element analysis, fatigue life estimation via Basquin’s equation, and machine learning approaches to predict potential failure points and optimize design parameters. Results from MATLAB simulations and GUI-based analyses demonstrate significant correlations between blade geometry, operating conditions, and failure risks, providing a robust framework for proactive maintenance and design enhancements in turbine technology.

Predictive Modelling, Failure Analysis, Turbine Blades, Gas Turbine Engines, MATLAB Simulation, Fatigue Life Estimation.

"An Exploration towards the Integrative MATLAB-Based Computational Modelling for Advanced Failure Analysis and Structural Optimization of Gas Turbine Blades", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.h580-h589, February-2025, Available :http://www.jetir.org/papers/JETIR2502774.pdf

"An Exploration towards the Integrative MATLAB-Based Computational Modelling for Advanced Failure Analysis and Structural Optimization of Gas Turbine Blades", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. pph580-h589, February-2025, Available at : http://www.jetir.org/papers/JETIR2502774.pdf