A unified frequency domain fatigue damage modeling approach for random-on-random spectrum

• Published in: International journal of fatigue Vol. 124; pp. 123 - 137
• Main Authors: Li, Z., Ince, A.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.07.2019; Elsevier BV
• Subjects: Accelerated test; Crack propagation; Damage accumulation; Damage assessment; Evolution; Fatigue failure; Finite element method; Frequencies; Frequency domain; Frequency domain analysis; Jet engines; Materials fatigue; Mathematical analysis; Modelling; Power spectral density; Random loading; Rayleigh distribution; Repair & maintenance; Rotating machinery; Rotating machines; Stress concentration; Stress cycles; Structural damage; Time dependence; Topology; Tracked vehicles; Frequency domain; Power spectral density; Random loading; Fatigue failure; Accelerated test
• ISSN: 0142-1123; 1879-3452
• DOI: 10.1016/j.ijfatigue.2019.02.032

[Display omitted] •A new modeling approach is proposed to predict fatigue damage of structures.•The proposed approach is based on a novel modeling framework.•The model is numerically and experimentally validated by FEM and experiments.•The model provides a more efficient and accurate method for fatigue life assessments. Current frequency domain damage models only deal with stationary random loadings (stationary Power Spectral Density), but many machine components, such as jet engines, rotating machines, and tracked vehicles are subjected to evolutionary i.e. time-dependent PSD conditions under real service loadings. An innovative fatigue damage modeling approach is proposed to predict fatigue damage of structures under complex evolutionary PSD loading conditions where the topology of PSD function changes with time. This new approach is based on a novel modeling framework that the evolutionary PSD response of a structure can be decomposed into a finite number of discrete PSD functions. Each PSD function can be split into narrow frequency bands so that each of narrowbands can be associated with Rayleigh distribution of stress cycles. Fatigue damage can then be predicted by summing up damages for each individual band and each discrete PSD function on the basis of a damage accumulation rule. The proposed modeling approach is numerically and experimentally validated by a finite element method and experiments. The proposed modeling approach provides a more efficient and accurate modeling technique for fatigue damage assessment of engineering structural components under very complex random loadings.