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Strength and stiffness characteristics of cement paste-slime mixtures for embedded piles

  • Yong-Hoon Byun (School of Agricultural Civil, and Bio-Industrial Engineering, Kyungpook National University) ;
  • Mi Jeong Seo (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • WooJin Han (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Sang Yeob Kim (Department of Fire and Disaster Prevention, Konkuk University) ;
  • Jong-Sub Lee (School of Civil, Environmental and Architectural Engineering, Korea University)
  • Received : 2022.10.10
  • Accepted : 2023.01.29
  • Published : 2023.04.25

Abstract

Slime is produced by excavation during the installation of embedded piles, and it tends to mix with the cement paste injected into the pile shafts. The objective of this study is to investigate the strength and stiffness characteristics of cement pasteslime mixtures. Mixtures with different slime ratios are prepared and cured for 28 days. Uniaxial compression tests and elastic wave measurements are conducted to obtain the static and dynamic properties, respectively. The uniaxial compressive strengths and static elastic moduli of the mixtures are evaluated according to the curing period, slime ratio, and water-cement ratio. In addition, dynamic properties, e.g., the constrained, shear, and elastic moduli, are estimated from the compressional and shear wave velocities. The experimental results show that the static and dynamic properties increase under an increase in the curing period but decrease under an increase in the slime and water-cement ratios. The cement paste-slime mixtures show several exponential relationships between their static and dynamic properties, depending on the slime ratio. The bearing mechanisms of embedded piles can be better understood by examining the strength and stiffness characteristics of cement paste-slime mixtures.

Keywords

Acknowledgement

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2021R1A5A1032433).

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