Vibration behavior prediction of submerged nanobeams with axially traveling supports: numerical, analytical, and machine learning approaches
Author:
Affiliation:
1. School of Electromechanical Engineering and Intelligent Manufacturing, Huanggang Normal University, Huanggang, Hubei, China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15397734.2024.2354530
Reference85 articles.
1. Dynamic analysis of FG nanobeam reinforced by carbon nanotubes and resting on elastic foundation under moving load
2. Design and analysis of vibration energy harvesters based on peak response statistics
3. Thermo-mechanical vibration and instability of carbon nanocones conveying fluid using nonlocal Timoshenko beam model
4. System Simulation And Machine Learning-Based Maintenance Optimization For An Inland Waterway Transportation System
5. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM)
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