Work

Predicting stress intensity factor in pressurized cracked tubes using neural networks

Year: 2025

Type: article

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/e3sconf/202568000066/pdf

Authors: Yassine El Kiri, Ouassim Mehdi Billah, Zakaria Mighouar, Laidi Zahiri, Khalifa Mansouri

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7116764264

FWCI:

Cites:

Cited by:

Related to: