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Updated: Feb 28, 2026

Studying Large Amplitude Oscillatory Shear Response of Soft Materials
Published on: April 25, 2019
Dynamic Characteristics of Clay-Rubber Mixtures: Perspective on Small-Strain Dynamic Shear Modulus and Damping Ratio
Bingheng Liu1,2, Yong Wang2, Jianqun Zhu1
1School of Civil Engineering and Architecture, Changzhou Institute of Technology, Changzhou 213032, China.
The study reveals that increasing rubber particle content in clay-rubber mixtures decreases small-strain stiffness (G) and increases damping ratio (D). Confining pressure enhances stiffness but reduces damping.
Area of Science:
- Geotechnical Engineering
- Material Science
Background:
- Waste tire rubber-soil mixtures are utilized in geotechnical engineering for vibration attenuation due to their low density and high energy dissipation.
- Understanding the small-strain stiffness of clay-rubber mixtures (CRM) is crucial for their effective application.
Purpose of the Study:
- To investigate the evolution of small-strain stiffness characteristics of CRM.
- To analyze the influence of confining pressure (σ3), rubber particle content (Crubber), and rubber particle size (Drubber) on CRM stiffness and damping.
Main Methods:
- Resonance column tests were performed on CRM samples with varying σ3, Crubber, and Drubber.
- Small-strain stiffness characteristics, including dynamic shear modulus (G) and damping ratio (D), were determined.
- The Hardin-Drnevich equation was used to analyze G-γ curves and obtain the maximum dynamic shear modulus (Gmax).
Main Results:
- Confining pressure (σ3) increased G and decreased D.
- Increased rubber particle content (Crubber) significantly decreased G and increased D.
- Increased rubber particle size (Drubber) slightly increased G and increased D.
- An empirical equation for Gmax was proposed, considering σ3, Crubber, and Drubber.
Conclusions:
- Rubber particles generally inhibit the development of small-strain stiffness in CRM.
- The contact area between clay and rubber particles influences the mechanical behavior of CRM.
- The study provides a predictive model for Gmax and an empirical equation for D-γ curves in CRM.
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