Work

Physics-Informed Neural Networks for Multiaxial Fatigue Life Prediction of Aluminum Alloy

Year: 2025

Type: article

Abstract: The ability to predict multiaxial fatigue life of Al-Alloy 7075-T6 under complex loading conditions is critical to assessing its durability under complex loading conditions, particularly in aerospace, automotive, and structur... | Find, read and cite all the research you need on Tech Science Press

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.068581

Authors: Ehsan Akbari, Tajbakhsh Navid Chakherlou, Hamed Tabrizchi, Amir Mosavi

Institutions: Obuda University, Ludovika University of Public Service, University of Tabriz, Abylkas Saginov Karaganda Technical University

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4414674869

FWCI: 1.606

Cites: 30

Cited by: 5

Related to: