Work

Artificial Intelligence-Powered Probabilistic Damage Tolerance Approach for Impeller Mechanical Assessment

Year: 2025

Type: article

Source: Journal of Engineering for Gas Turbines and Power

DOI: 10.1115/1.4069629

Authors: Lorenzo Cappelli, Dario Matina, Leonardo Pulga, Andrea Panizza

Institution: Baker Hughes (United States)

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4413880993

FWCI:

Cites: 8

Cited by:

Related to: 10