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J. Mar. Sci. Eng. 2018, 6(1), 23; https://doi.org/10.3390/jmse6010023

Quantitative Analysis of 3D Reconstruction Parameters of Multi-Materialsin Soft Clay

1
School of Earth Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
2
Guangdong Province Key Laboratory of Geological Processes and Mineral Resources, Guangzhou 501275, China
3
Manufacturing BU, The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Clayton, VIC 3168, Australia
*
Author to whom correspondence should be addressed.
Received: 10 December 2017 / Revised: 9 February 2018 / Accepted: 26 February 2018 / Published: 5 March 2018
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Abstract

The results of the three-dimensional reconstruction of soil were derived from the X-ray absorption coefficient of the material itself. However, the absorption coefficient is not a fixed value, and is related to densities, chemical molecular weight, and the weight percentages of chemical components. How to accurately obtain the density of one component is a vital issue in multi-materials. In this study, the influence of the physical parameters of each component in the data-constrained modeling (DCM) of the microstructure of soft clay was investigated. The results showed that density changes were more prominent. A reasonable multi-component density was calculated, and the density of organic matter had a significant effect on the volume percentage of three-dimensional soft clay. In the clay mineral montmorillonite, the density significantly affected the volume percentage data, which directly limited the accuracy of the material distribution analysis. Based on this, other physical parameters of each component in the data constraint model could be further explored. Based on the density value of the simple material, a reasonable multi-materials density was calculated, which provides a quantitative method for the evolution analysis of soil structure. View Full-Text
Keywords: soft clay; material composition; three-dimensional reconstruction; data-constrained modeling (DCM) soft clay; material composition; three-dimensional reconstruction; data-constrained modeling (DCM)
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Liu, Z.; Song, J.; Yang, Y.; Li, X. Quantitative Analysis of 3D Reconstruction Parameters of Multi-Materialsin Soft Clay. J. Mar. Sci. Eng. 2018, 6, 23.

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