Implementation of Deep Learning and Machine Learning Algorithms for Predicting the Stress Intensity Factor (KI) in Cracked Mechanical Components Deep Learning for Stress Intensity Factor Prediction
Year: 2025
Type: article
Abstract: In Fracture Mechanics, predicting the stress intensity factor (SIF, Mode I, KI) is crucial, as it enables the assessment of a component’s resistance in the presence of cracks and, consequently, the prevention of catastrophic failures.
Author: Manuel Nazario Rocha-Martínez
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409112848