Quantification of the out-of-plane loading fatigue response of bistable CFRP laminates using a machine learning approach-Reference-Cited by-同舟云学术

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Quantification of the out-of-plane loading fatigue response of bistable CFRP laminates using a machine learning approach

Published:2024-04-30 Issue: Volume: Page:1-16
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Chowdhury Shoab Ahmed¹^ORCID,Nelon Christopher¹^ORCID,Li Suyi²^ORCID,Myers Oliver¹^ORCID,Hall Asha³^ORCID

Affiliation:

1. Department of Mechanical Engineering, Clemson University, Clemson, South Carolina, USA

2. Department of Mechanical Engineering, Virginia Tech, Blacksburg, Virginia, USA

3. Vehicle Structures and Dynamics Branch, U.S. Army DEVCOM Research Laboratory, Aberdeen Proving Ground, Maryland, USA

Funder

National Science Foundation

U.S. Army Research Laboratory

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2342027

Reference65 articles.

1. Some Observations on the Cured Shape of Thin Unsymmetric Laminates

2. Calculations of the Room-Temperature Shapes of Unsymmetric Laminatestwo

3. The Room-Temperature Shapes of Four-Layer Unsymmetric Cross-Ply Laminates

4. High-fidelity analytical modeling of asymmetric CFRP composites using Reissner–Mindlin theory and hygroscopic degradation

5. Fatigue of Fiber-reinforced Composites

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1. Uncertainty quantification for natural frequency and mode of variable angle tow composite plates with random and interval uncertainties;Mechanics of Advanced Materials and Structures;2024-08-21

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3. Enhancing the stability and efficiency of the advanced concrete structures surrounded by an auxetic foundation;Mechanics of Advanced Materials and Structures;2024-07-27

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