Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study-Reference-Cited by-同舟云学术

Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study

Published:2023-07 Issue: Volume:195 Page:110315
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Bagherzadeh Faramarz^ORCID,Shafighfard Torkan,Khan Raja Muhammad Awais^ORCID,Szczuko Piotr^ORCID,Mieloszyk Magdalena^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference71 articles.

1. Tensile properties and failure mechanism of 3D woven composites containing holes of different geometries;Guo;Thin-Walled Struct.,2021

2. Progressive failure analysis of three-dimensional woven carbon composites in single-bolt, double-shear bearing;Warren;Composites B,2016

3. Model of the temperature influence on additively manufactured carbon fibre reinforced polymer samples with embedded fibre bragg grating sensors;Shafighfard;Materials,2021

4. An influence of temperature on fiber bragg grating sensor embedded into additive manufactured structure;Mieloszyk,2023

5. Progressive failure analysis on scaled open-hole tensile composite laminates;Bao;Compos. Struct.,2016

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