Work

Interpretable machine learning for microstructure-dependent models of fatigue indicator parameters

Year: 2023

Type: article

Source: International Journal of Fatigue

DOI: 10.1016/j.ijfatigue.2023.108019

Authors: Cooper K. Hansen, Gary F. Whelan, Jacob D. Hochhalter

Institution: University of Utah

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: bronze

Funders: University of Utah, Air Force Research Laboratory, Materials and Manufacturing Directorate

Award: G4208061407

OpenAlex ID: W4388039175

FWCI: 2.679

Cites: 48

Cited by: 24

Related to: 10