Data from: High-accuracy fatigue life prediction and early fracture warning for ferromagnetic metals via spin correlation amplification

Sudden fatigue failure of metallic structures triggers thousands of safety
accidents annually, causing tens of thousands of casualties and economic
losses approaching $100 billion. Traditional detection techniques face
challenges in capturing early fatigue damage features like subnanometer
atomic displacements and localized metal bond ruptures. Based on the
synchronized weakening mechanism between binding forces and exchange
interactions during fatigue processes in ferromagnetic metals, this study
obtained high-sensitivity fatigue observations by exciting the quantum
spin correlation amplification effect via an external magnetic field. We
conducted fatigue tests on 193 ferromagnetic metal samples over 3,700
cumulative hours, establishing a mapping relationship between
fatigue-induced magnetic flux changes and the degree of binding force
weakening. This work integrated macroscopic fatigue life prediction with
ferromagnetic material microstructural parameters, achieving a prediction
accuracy with R2>0.9 and providing a reliable prefracture warning,
potentially mitigating fatigue fractures in large-scale engineering
structures and reducing the associated economic losses.