Improved Strain-Energy Based Mistuning Models - Part II: Understanding the Mistuned Blade Response for a Non-Isolated Family of Modes

Abstract The second part of the two-part paper describes the impact of the improved strain energy-based model on the mistuned blade response of a non-isolated mode family. This paper concentrates on coupling aerodynamic and structural dynamics into the FMM method to improve the accuracy of the mistuned prediction, especially in the “veering” region. The current paper extends part I of this study and describes in detail the impact of modelling a different strain energy at every ND and calibrates the non-dimensional strain energy parameters against experimental data. The paper also describes the impact of different mistuning models on the mistuning amplification factors for the Purdue 3 stage compressor rotor 2. The second part of the paper provides assessment of these strain energy-based models on the sensitivity of the mistuned forced response predictions with a perturbation in the system mode frequency. Lastly, the paper describes the impact of mistuning model on the aerodamping predictions. The key conclusions are: 1) The improved strain energy formulations lead to a significant improvement in the mistuning amplification factor for a non-isolated mode family, and 2) Perturbing the system mode frequency of a single ND has a significant impact on the mistuning amplification factor and is dependent on the mistuning model of choice.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1115/gt2025-152790
Primary Topic
Turbomachinery Performance and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improved Strain-Energy Based Mistuning Models - Part II: Understanding the Mistuned Blade Response for a Non-Isolated Family of Modes

Robert E. Kielb, Shreyas Hegde
Turbomachinery Performance and Optimization
article

Improved Strain-Energy Based Mistuning Models - Part II: Understanding the Mistuned Blade Response for a Non-Isolated Family of Modes

Robert E. Kielb, Shreyas Hegde
article en

Abstract

Abstract The second part of the two-part paper describes the impact of the improved strain energy-based model on the mistuned blade response of a non-isolated mode family. This paper concentrates on coupling aerodynamic and structural dynamics into the FMM method to improve the accuracy of the mistuned prediction, especially in the “veering” region. The current paper extends part I of this study and describes in detail the impact of modelling a different strain energy at every ND and calibrates the non-dimensional strain energy parameters against experimental data. The paper also describes the impact of different mistuning models on the mistuning amplification factors for the Purdue 3 stage compressor rotor 2. The second part of the paper provides assessment of these strain energy-based models on the sensitivity of the mistuned forced response predictions with a perturbation in the system mode frequency. Lastly, the paper describes the impact of mistuning model on the aerodamping predictions. The key conclusions are: 1) The improved strain energy formulations lead to a significant improvement in the mistuning amplification factor for a non-isolated mode family, and 2) Perturbing the system mode frequency of a single ND has a significant impact on the mistuning amplification factor and is dependent on the mistuning model of choice.

Duke University (US), Whitney Museum of American Art (US)
Affordable and clean energy
Openalex Percentile: Top 71%
Turbomachinery Performance and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.