MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE

Jia-ao Hou; Chao Wu; Yangping Yao; Renyuan Qin; Denvid Lau; Lik-ho Tam

doi:10.5281/zenodo.8114224

MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE

Jia-ao Hou, Chao Wu^*, Yangping Yao, Renyuan Qin, Denvid Lau, Lik-ho Tam^*

^*Corresponding author for this work

Department of Architecture and Civil Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

23 Downloads (CityUHK Scholars)

Abstract

Carbon fiber-reinforced polymer (CFRP) composite has been increasingly used in constructions, which is subjected to external loads that cause severe nonlinear vibrations and final structural failure. In this work, a machine learning approach is adopted to investigate nonlinear vibrations of CFRP composite. A dataset about nonlinear frequency ratios of CFRP composite under different load levels, sizes, and boundary conditions is established, which is used to train prediction model. Using developed model, attribute importance of nonlinear vibration and nonlinear frequency ratios under various conditions are investigated. The finding of this work contributes to predicting long-term vibration properties of CFRP composite.

Original language	English
Title of host publication	CICE 2023 - 11th International Conference on FRP Composites in Civil Engineering
Publisher	Zenodo
Number of pages	12
DOIs	https://doi.org/10.5281/zenodo.8114224
Publication status	Published - 2023
Event	11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023) - Rio de Janeiro, Brazil Duration: 23 Jul 2023 → 26 Jul 2023 http://cice2023.org

Publication series

Name	CICE - International Conference on FRP Composites in Civil Engineering

Conference

Conference	11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023)
Place	Brazil
City	Rio de Janeiro
Period	23/07/23 → 26/07/23
Internet address	http://cice2023.org

Research Keywords

CFPR composite
Compression load
Machine learning
Nonlinear vibration
Prediction model

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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10.5281/zenodo.8114224

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@inproceedings{7a6d74c2eebb4398bd29cbe4d956d047,

title = "MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE",

abstract = "Carbon fiber-reinforced polymer (CFRP) composite has been increasingly used in constructions, which is subjected to external loads that cause severe nonlinear vibrations and final structural failure. In this work, a machine learning approach is adopted to investigate nonlinear vibrations of CFRP composite. A dataset about nonlinear frequency ratios of CFRP composite under different load levels, sizes, and boundary conditions is established, which is used to train prediction model. Using developed model, attribute importance of nonlinear vibration and nonlinear frequency ratios under various conditions are investigated. The finding of this work contributes to predicting long-term vibration properties of CFRP composite.",

keywords = "CFPR composite, Compression load, Machine learning, Nonlinear vibration, Prediction model",

author = "Jia-ao Hou and Chao Wu and Yangping Yao and Renyuan Qin and Denvid Lau and Lik-ho Tam",

year = "2023",

doi = "10.5281/zenodo.8114224",

language = "English",

series = "CICE - International Conference on FRP Composites in Civil Engineering",

publisher = "Zenodo",

booktitle = "CICE 2023 - 11th International Conference on FRP Composites in Civil Engineering",

note = "11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023) ; Conference date: 23-07-2023 Through 26-07-2023",

url = "http://cice2023.org",

}

Hou, J, Wu, C, Yao, Y, Qin, R , Lau, D & Tam, L 2023, MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE. in CICE 2023 - 11th International Conference on FRP Composites in Civil Engineering., 77, CICE - International Conference on FRP Composites in Civil Engineering, Zenodo, 11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023), Rio de Janeiro, Brazil, 23/07/23. https://doi.org/10.5281/zenodo.8114224

MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE. / Hou, Jia-ao; Wu, Chao; Yao, Yangping et al.
CICE 2023 - 11th International Conference on FRP Composites in Civil Engineering. Zenodo, 2023. 77 (CICE - International Conference on FRP Composites in Civil Engineering).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE

AU - Hou, Jia-ao

AU - Wu, Chao

AU - Yao, Yangping

AU - Qin, Renyuan

AU - Lau, Denvid

AU - Tam, Lik-ho

PY - 2023

Y1 - 2023

N2 - Carbon fiber-reinforced polymer (CFRP) composite has been increasingly used in constructions, which is subjected to external loads that cause severe nonlinear vibrations and final structural failure. In this work, a machine learning approach is adopted to investigate nonlinear vibrations of CFRP composite. A dataset about nonlinear frequency ratios of CFRP composite under different load levels, sizes, and boundary conditions is established, which is used to train prediction model. Using developed model, attribute importance of nonlinear vibration and nonlinear frequency ratios under various conditions are investigated. The finding of this work contributes to predicting long-term vibration properties of CFRP composite.

AB - Carbon fiber-reinforced polymer (CFRP) composite has been increasingly used in constructions, which is subjected to external loads that cause severe nonlinear vibrations and final structural failure. In this work, a machine learning approach is adopted to investigate nonlinear vibrations of CFRP composite. A dataset about nonlinear frequency ratios of CFRP composite under different load levels, sizes, and boundary conditions is established, which is used to train prediction model. Using developed model, attribute importance of nonlinear vibration and nonlinear frequency ratios under various conditions are investigated. The finding of this work contributes to predicting long-term vibration properties of CFRP composite.

KW - CFPR composite

KW - Compression load

KW - Machine learning

KW - Nonlinear vibration

KW - Prediction model

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U2 - 10.5281/zenodo.8114224

DO - 10.5281/zenodo.8114224

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - CICE - International Conference on FRP Composites in Civil Engineering

BT - CICE 2023 - 11th International Conference on FRP Composites in Civil Engineering

PB - Zenodo

T2 - 11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023)

Y2 - 23 July 2023 through 26 July 2023

ER -

MACHINE LEARNING-BASED INVESTIGATIONS ON NONLINEAR VIBRATIONS OF CFRP COMPOSITE

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Research Keywords

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