Iterative and Dynamic Analysis of 3d Crack Growth in Turboshaft Engines: A Focus on Blower Stiffness and Vibration

Abstract This study investigates the dynamic response of a gas turbine engine with a particular focus on the role of the blower in the turboshaft engine blower and its susceptibility to crack formation under high cycle fatigue (HCF). Through modal and harmonic analysis, mode shapes, vibration levels, and phase angles are assessed to find the impact of cyclic loading on the engine’s structural integrity. Both a finite element analysis (FEA) based and numerical approaches are utilized, incorporating a 3D crack growth algorithm that updates the blower’s geometry iteratively. This method captures key changes in area reduction, stiffness, frequency response, and stress states, along with corresponding shifts in vibration behavior as cracks propagate. The study uniquely models the blower’s response, highlighting its influence on overall engine structural performance and vulnerability to fatigue. By refining the iteration loop and accounting for evolving stiffness change in structure, the approach offers an improved framework for life cycle prediction. Iterative solution results are compared with non-iterative, fixed, stress state life cycle prediction and the consequence of stiffness change during crack growth is emphasized. The differences in the results are underlined and conclusions are drawn between the different techniques.

Authors

Institutions

Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1115/gt2025-153242
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

Iterative and Dynamic Analysis of 3d Crack Growth in Turboshaft Engines: A Focus on Blower Stiffness and Vibration

Şevket Ertekin, Emre Baldan, Tümay İnal
Turbomachinery Performance and Optimization
article

Iterative and Dynamic Analysis of 3d Crack Growth in Turboshaft Engines: A Focus on Blower Stiffness and Vibration

Şevket Ertekin, Emre Baldan, Tümay İnal
article en

Abstract

Abstract This study investigates the dynamic response of a gas turbine engine with a particular focus on the role of the blower in the turboshaft engine blower and its susceptibility to crack formation under high cycle fatigue (HCF). Through modal and harmonic analysis, mode shapes, vibration levels, and phase angles are assessed to find the impact of cyclic loading on the engine’s structural integrity. Both a finite element analysis (FEA) based and numerical approaches are utilized, incorporating a 3D crack growth algorithm that updates the blower’s geometry iteratively. This method captures key changes in area reduction, stiffness, frequency response, and stress states, along with corresponding shifts in vibration behavior as cracks propagate. The study uniquely models the blower’s response, highlighting its influence on overall engine structural performance and vulnerability to fatigue. By refining the iteration loop and accounting for evolving stiffness change in structure, the approach offers an improved framework for life cycle prediction. Iterative solution results are compared with non-iterative, fixed, stress state life cycle prediction and the consequence of stiffness change during crack growth is emphasized. The differences in the results are underlined and conclusions are drawn between the different techniques.

PPG Industries (United States) (US)
Responsible consumption and production
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.