Data-driven modeling of multiaxial fatigue in frequency domain: Fid-Bau Portal

Data-driven modeling of multiaxial fatigue in frequency domain

Ravi, Sandipp Krishnan / Dong, Pingsha / Wei, Zhigang

Abstract A data-driven approach to modeling multiaxial fatigue in frequency domain is proposed. The paper presents a methodology through which models can be built to predict fatigue damage based on a multiaxial cycle counting method and the associated life assessment approach in frequency domain. Through apt parameterization of spectrum in conjunction with principal component analysis transformation, every biaxial stress state in frequency domain can be represented as a point on a common feature space. The proposed methodology consists of three phases: exploratory study, data generation and model development. Two structural components are used for the demonstration. The performance of the models are evaluated in comparison with time domain approaches, and results are compared. The proposed methodology is able to predict multiaxial fatigue damage in frequency domain within acceptable error limits, allowing for a fast and efficient method to tackle multiaxial fatigue analysis in frequency domain.

Highlights • A data-driven approach for modeling multiaxial fatigue in frequency domain is developed. • Through PCA, any stress state can be transformed into a principal reference frame which offers a dimensionality reduction. • The zero co-spectrum assumption provides an efficient data generation procedure supported by a valid physical interpretation. • The feature vector constructed represents the spectrums through the shape and spectral moment characteristics.