Utilizing a combination of experimental and machine learning methods to predict and correlate between accelerated and natural aging of CFRP / AL adhesive joints under hygrothermal conditions
Year: 2024
Type: article
Source: Polymer Composites
DOI: 10.1002/pc.29226
Authors: Sajjad Karimi, Jianyong Yu
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4404113769
