Prague FABER MC2&WG6 Meetings 2025

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Working Group 4

Fatigue Estimation Categories

Accurate fatigue life predictions are essential for enhancing the durability and safety of materials and components. WG4 focuses on assembling benchmarks for seven fatigue estimation categories, addressing critical knowledge and technology gaps in the field.

Working Group Leader and Co-Leader

Picture of Prof Halid Yıldırım & Prof Andrea Spagnoli

Prof Halid Yıldırım & Prof Andrea Spagnoli

W.G.4.1

Mean Stress Effect
Investigates how mean stress influences fatigue life, updating outdated estimation methods.

W.G.4.2

Critical Volume Effect
Analyzes the impact of size, notch, and load effects on fatigue failure predictions.

W.G.4.3

Load Multiaxiality Effect
Evaluates different criteria for fatigue estimation under complex multiaxial loading conditions.

W.G.4.4

Surface Integrity
Studies how surface characteristics (roughness, residual stress) affect fatigue performance.

W.G.4.5

Damage Accumulation
Examines the validity of current damage accumulation models and explores alternatives.

W.G.4.6

Material Anisotropy
Addresses challenges related to varying material properties in different directions.

W.G.4.7

Low-Cycle Fatigue
Explores fatigue behavior under elastic-plastic strain conditions and its impact on prediction accuracy.

Activities

WG4 will conduct systematic reviews of existing fatigue models, organize expert roundtables on benchmarking strategies, and host training schools to enhance industry and academic collaboration.

Deliverables

WG4 will publish high-impact research papers summarizing benchmark results, release best-practice guidelines for fatigue testing, and contribute to the development of a standardized fatigue estimation framework.

Working Group Task Leaders

Our team of Leaders dedicated to advancing fatigue research

WG 4.1, Prof Grzegorz Lesiuk

WG 4.2, Mr Lorenzo Pagliari

WG 4.3, Dr Koenraad Freytag

WG 4.4, Dr Inigo Llavori

WG 4.5, Mr Ricardo Branco

WG 4.6, Dr Łukasz Pejkowski

WG 4.7, Prof Radim Halama

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