Study on a quantitative method for determining mixing proportion of transparent cemented soil for visual geotechnical model tests
Creators: name: Xie, Peng
name: Duan, Huchen
name: Wen, Haijia
name: Ma, Shaokun
name: Yue, Zurun
name: Jiang, Mingjing
name: Zhu, Haitao
name: Li, Congcong
Publisher: name: Zenodo
Year: 2023

description: An effective mixing of transparent cemented soil is necessary for visual geotechnical model tests, so a quantitative method for determining mixing proportion of transparent cemented soil was generated in this paper. Firstly, quartz sand, Nanoscale silica powder and N-dodecane mixed 15# white oil were selected as the raw materials, and a series of orthogonal experiments were designed. Concurrently, the main physical and mechanical parameters (volumetric weight γ, internal friction angle φ, cohesion c) of transparent cemented soil were measured, caused by the change of "particle size of quartz sand" and " mass ratios between fumed silica and fused quartz". Subsequently, multiple linear regression equations of various physical and mechanical parameters (γ, φ, c) were obtained by fitting the original test data. Finally, the rationality of multiple linear regression equations was proved. The research results indicated: (1) the volumetric weight changes from 16.13kN/m<sup>3</sup> to 12.53kN/m<sup>3</sup>, the Internal friction angle is between 27.07° and 14.82°, and the cohesion varies from 31kPa to 2.3kPa, the parameters meet the similar requirements of the surrounding rock (grade ⅳ and ⅴ) and clay; (2) The values of Multiple R values (all greater than 0.88) and the Significance F value (all close to 0) proves the three regression equations were valid; (3) Combining the three regression equations and particle size of quartz sand, the mass ratio between fumed silica and fused quartz and geometry similarity constant were solved. All the conclusions mentioned could provide theoretical support and data reference for transparent soil model test implementation.
description: Funding provided by: National Key Research and Development Program of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166<br>Award Number: 2019YFC1509902Funding provided by: The Independent innovation fund project (Tianjin University and Hainan University)**<br>Crossref Funder Registry ID: <br>Award Number: TDHD-2206Funding provided by: The Systematic Project of State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University**<br>Crossref Funder Registry ID: <br>Award Number: KF2022-03Funding provided by: Hainan Provincial Natural Science Foundation of China*<br>Crossref Funder Registry ID: <br>Award Number: 520QN229Funding provided by: Hainan Provincial Natural Science Foundation of China*<br>Crossref Funder Registry ID: <br>Award Number: 422RC599Funding provided by: The Systematic Project of Key Laboratory of Geological Hazards on Three Gorges Reservoir Area (China Three Gorges University), Ministry of Education*<br>Crossref Funder Registry ID: <br>Award Number: 2020KDZ04Funding provided by: The Scientific Research Startup Foundation of Hainan University **<br>Crossref Funder Registry ID: <br>Award Number: KYQD(2R)1969Funding provided by: National Natural Science Foundation of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809<br>Award Number: 42002293Funding provided by: National Natural Science Foundation of China<br>Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001809<br>Award Number: 52068019