Dynamic Properties of Sand-Sawdust Mixture for Modeling Deposit Soil
Source abstract
Abstract
Soil mixtures with various materials such as scraps of rubber tire, iron powder, and synthetic fibers have been widely used in civil engineering for experimental research or infrastructure construction and maintenance. However, these materials are not only expensive, but may also result in environmental concerns. In recent years, sawdust, because of its light-weight, inexpensive, and environmental friendly characteristics, has frequently been used in the shaking table test to adjust the dynamic properties of experimental soil. However, the dynamic properties of a sand-sawdust mixture for the shaking table test are still unclear. In this paper, the dynamic properties and the hysteresis curve characteristics of the sand-sawdust mixture as well as the influence of the sawdust content and confining pressure on the dynamic properties were studied using a series of consolidated drained dynamic triaxial tests. The test results show that, with the increase of the shear strain, the shape of the hysteresis loops changes from symmetrical willow-leaf to asymmetry sharp-leaf. For a given confining pressure, both the shear modulus and damping ratio decreases as the sawdust percentage increases. It was observed that, with an increase in confining pressure, the shear modulus increased while the damping ratio decreased slightly in the shear strain range of 10−3 to 7 × 10−3. It was also observed that the maximum shear modulus increased as the confining pressure increased, while the maximum damping ratio remained nearly constant. In addition, both the maximum shear modulus and the maximum damping ratio decreased as the sawdust content increased. Finally, the normalized shear modulus and damping ratio were established, which can be used in simulations using the shaking table test.
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Research context
OpenAlex topics: Geotechnical Engineering and Soil Stabilization · Geotechnical Engineering and Soil Mechanics · Geotechnical Engineering and Underground Structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, 1239 Siping Rd., Shanghai 200092, China
Department of Civil Engineering, University of Science and Technology Beijing, 30 Xueyuan Rd., Haidian District, Beijing 100083, China
Department of Transportation, Logistics and Finance, North Dakota State University, Fargo, ND 58108, USA
Funding
Open Foundation of State Key Laboratory for Disaster Reduction in Civil Engineering
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