Explainable artificial intelligence prediction of defect characterization in composite materials-Reference-Cited by-同舟云学术

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Explainable artificial intelligence prediction of defect characterization in composite materials

Published:2024-09 Issue: Volume:256 Page:110759
ISSN:0266-3538
Container-title:Composites Science and Technology
language:en
Short-container-title:Composites Science and Technology

Author:

Daghigh Vahid^ORCID,Bakhtiari Ramezani Somayeh^ORCID,Daghigh Hamid,Lacy Jr. Thomas E.^ORCID

Funder

Texas A&M University System

Publisher

Elsevier BV

Reference41 articles.

1. Fiber-Reinforced Composites: Materials, Manufacturing, and Design;Mallick,2007

2. Buckling analysis of piezoelectric cylindrical composite panels reinforced with carbon nanotubes;Nasihatgozar;Int. J. Mech. Sci.,2016

3. Nonlocal bending and buckling of agglomerated CNT-Reinforced composite nanoplates;Daghigh;Composites, Part B,2020

4. Free vibration of size and temperature-dependent carbon nanotube (CNT)-reinforced composite nanoplates with CNT agglomeration;Daghigh;Polym. Compos.,2019

5. Modeling 3D heat flow interaction with defects in composite materials for infrared thermography;Manohar;NDT E Int.,2014

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