Application of machine learning method to estimate bending properties of advanced composite elastic system subjected to external mechanical loading-Reference-Cited by-同舟云学术

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Application of machine learning method to estimate bending properties of advanced composite elastic system subjected to external mechanical loading

Published:2024-02-19 Issue: Volume: Page:1-25
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Bie Hongling¹,Li Pengyu²,Alnowibet Khalid A.³

Affiliation:

1. Artificial Intelligence Applications College, Shanghai Urban Construction Vocational College, Shanghai, China

2. Shanghai Technician School, Shanghai, China

3. Statistics and Operations Research Department, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2313152

Reference107 articles.

1. Size dependent free vibration analysis of 2D-functionally graded curved nanobeam by meshless method

2. Effects of Geometric Nonlinearity on Free and Forced Vibration Analysis of Moderately Thick Annular Functionally Graded Plate

3. Analysis of postbuckling of graded porous GPL-reinforced beams with geometrical imperfection

4. Large-Area Graphene Electrodes: Using CVD to facilitate applications in commercial touchscreens, flexible nanoelectronics, and neural interfaces.

5. Interface coupling in graphene/fluorographene heterostructure for high-performance graphene/silicon solar cells

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