Fatigue Life Estimator
Estimate fatigue life (cycles to failure) using Basquin's equation from stress amplitude and material constants.
CalculatorReference Values
Typical Fatigue Exponent (b)
Steel: -0.05 to -0.12
Aluminum: -0.07 to -0.14
Fatigue Strength Coefficient (σ'f)
For steel: σ'f ≈ 1.75 × UTS
Fatigue Regimes
Low Cycle: N < 10³
High Cycle: 10³ < N < 10⁶
Infinite Life: N > 10⁶
How to Use
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1
Enter the Applied Stress Amplitude and Mean Stress
Provide the cyclic stress amplitude (σ_a) and mean stress (σ_m), or alternatively enter the maximum and minimum stresses from which these are computed as (σ_max−σ_min)/2 and (σ_max+σ_min)/2.
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2
Select the Alloy and Surface Condition
Choose the alloy and specify surface finish (ground, machined, hot-rolled, as-cast) and any stress concentration factor Kf, which the tool uses to compute the effective fatigue notch factor.
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3
Read the Estimated Fatigue Life
The tool outputs the estimated number of cycles to failure using the S-N (Wöhler) curve, adjusted for mean stress via the Goodman or Morrow correction, with a safety factor assessment.
About
Fatigue is responsible for the majority of in-service fractures of metal components — it is estimated that 50–90% of all mechanical failures in service originate as fatigue cracks. Unlike static overload, fatigue failure can occur at stress levels well below the yield strength, often after years of apparently successful service, making it one of the most challenging failure modes to predict and prevent.
The AlloyFYI Fatigue Life Estimator implements classical S-N curve analysis with Goodman mean stress correction and surface finish, size, and reliability correction factors as recommended by Shigley's Mechanical Engineering Design and ASME design standards. The tool is appropriate for high-cycle fatigue (HCF) life estimation in the 10⁵ to 10⁹ cycle regime. For low-cycle fatigue analysis (below approximately 10⁴ cycles) where significant plasticity occurs, the strain-based Coffin-Manson approach is more appropriate. Engineering judgment and component testing remain essential complements to any analytical fatigue life estimate.