Gradient Chain Structure Model for Characterizing Frequency Dependence of Viscoelastic Materials
Publication: Journal of Engineering Mechanics
Volume 146, Issue 9
Abstract
The frequency dependence modeling of viscoelastic (VE) materials faces the challenge of high modeling accuracy over a wide frequency range and double-objective optimization in model parameter identification. To address these two issues, a gradient chain structure model and a model parameter identification method are proposed. Inspired by chain structure models, two gradient functions are introduced to update the roles of a chain network and free chains in the mechanical behavior of VE materials. A two-step parameter identification method is proposed to obtain the model parameters and gradient functions. Then a dynamic property test of VE dampers is conducted to study the frequency effect on the equivalent stiffness and loss factor. Also, the test results are used to verify the proposed gradient model. Further, a comparison of the gradient model, a 5-parameter rheological model, the fractional derivative Zener model, and 10 sets of experimental data are conducted to illustrate the feasibility and superiority of the proposed gradient model for VE materials with different kinds of properties. The numerical data from the gradient chain structure model fit well with the experimental data over a wide frequency range, and the proposed model performs much better than the other two typical models in terms of both modeling accuracy and stability.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
Financial support for this research was provided by the National Science Fund for Distinguished Young Scholars (Grant No. 51625803), Changjiang Scholars Program of the Ministry of Education of China, Superior Academic Discipline Construction Project of Jiangsu Higher Education Institutions (Grant No. CE02-1-50), Postgraduate Research & Practice Innovation Program of Jiangsu Province (3205008712, KYCX17_0122), and the China Scholarship Council. These organizations’ support is gratefully acknowledged.
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©2020 American Society of Civil Engineers.
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Received: Aug 15, 2019
Accepted: Apr 22, 2020
Published online: Jun 26, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 26, 2020
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