Comparative vibration analysis and resonance reliability of LP steam turbine blades: a comprehensive study

This study examined a healthy 250 MW LP steam turbine blade (X10CrNiMoV1222) through experimental modal analysis (EMA) and finite element (FE) modelling, with both methods showing strong agreement in natural frequencies and mode shapes validating the FE approach for further analysis. The research then compared five blade materials (X10CrNiMoV1222, X20CrMoV121, 17-4PH, ASTM 410 stainless steel, and Ti-6Al-4V) under two critical scenarios: (1) crack progression (10–90% of the fir tree root top serration) and (2) blade-root contact variations altering fixity conditions (FCs). For all materials, the first ten vibration modes were analysed alongside Campbell diagrams to identify critical speeds. Results revealed that the X20CrMoV121 blade outperformed the other materials tested, as its critical speeds consistently remained outside the rotor's operating range, positioning it as the safest replacement option. Beyond material selection, the study provides practical and actionable insights crucial for industrial application, including guidance for blade installation, detailed procedures for maintenance inspections (such as overhauls and over-speed balancing), and recommendations for frequency tuning. These findings offer engineers the necessary technical basis to enhance overall turbine reliability and effectively mitigate the risk of resonance-related failures.

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Publication Details

Journal
Multiscale and Multidisciplinary Modeling Experiments and Design
Published
2026-02-12
DOI
https://doi.org/10.1007/s41939-026-01163-4
Primary Topic
Bladed Disk Vibration Dynamics
Type
article
Field-Weighted Citation Impact
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article

Comparative vibration analysis and resonance reliability of LP steam turbine blades: a comprehensive study

Aakash Shukla, Sandeep Sharma, S. P. Harsha, Rajesh Kumar Bhamu et al.
Multiscale and Multidisciplinary Modeling Experiments and Design
Bladed Disk Vibration Dynamics
article

Comparative vibration analysis and resonance reliability of LP steam turbine blades: a comprehensive study

Aakash Shukla, Sandeep Sharma, S. P. Harsha, Rajesh Kumar Bhamu, Pawan Kumar
article en

Abstract

This study examined a healthy 250 MW LP steam turbine blade (X10CrNiMoV1222) through experimental modal analysis (EMA) and finite element (FE) modelling, with both methods showing strong agreement in natural frequencies and mode shapes validating the FE approach for further analysis. The research then compared five blade materials (X10CrNiMoV1222, X20CrMoV121, 17-4PH, ASTM 410 stainless steel, and Ti-6Al-4V) under two critical scenarios: (1) crack progression (10–90% of the fir tree root top serration) and (2) blade-root contact variations altering fixity conditions (FCs). For all materials, the first ten vibration modes were analysed alongside Campbell diagrams to identify critical speeds. Results revealed that the X20CrMoV121 blade outperformed the other materials tested, as its critical speeds consistently remained outside the rotor's operating range, positioning it as the safest replacement option. Beyond material selection, the study provides practical and actionable insights crucial for industrial application, including guidance for blade installation, detailed procedures for maintenance inspections (such as overhauls and over-speed balancing), and recommendations for frequency tuning. These findings offer engineers the necessary technical basis to enhance overall turbine reliability and effectively mitigate the risk of resonance-related failures.

Multiscale and Multidisciplinary Modeling Experiments and DesignVol. 9(1)
Indian Institute of Technology Roorkee (IN), Rajasthan Technical University (IN), Indian Institute of Information Technology Design and Manufacturing Jabalpur (IN), Bharat Heavy Electricals (India) (IN)
Affordable and clean energy
Openalex Percentile: Top 59%
Bladed Disk Vibration Dynamics
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Comparative vibration analysis and resonance reliability of LP steam turbine blades: a comprehensive study — Aakash Shukla, Sandeep Sharma, et al. · Multiscale and Multidisciplinary Modeling Experiments and Design (2026) | TGRS Research Map | TGRS