Redirigiendo al acceso original de articulo en 16 segundos...
ARTÍCULO
TITULO

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

Zhiqing Liu    
Jing Song    
Yushuang Yang and Xue Li    

Resumen

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.

 Artículos similares

       
 
Jialong Peng, Shaoqiang Wang, Lin Mu and Si Wang    
With the increasing global reliance on maritime oil transportation, oil spills pose significant environmental hazards to coastal ecosystems. This study presents a comprehensive quantitative framework for assessing oil spill risks along the Jiaozhou Bay c... ver más
Revista: Water

 
Pavlo Maruschak, Ihor Konovalenko, Yaroslav Osadtsa, Volodymyr Medvid, Oleksandr Shovkun, Denys Baran, Halyna Kozbur and Roman Mykhailyshyn    
Modern neural networks have made great strides in recognising objects in images and are widely used in defect detection. However, the output of a neural network strongly depends on both the training dataset and the conditions under which the image was ac... ver más
Revista: Applied Sciences

 
Sawsan T. Abu-Zeid, Ragab E. Saif, Hisham A. Mostafa and Hadeel Y. Edrees    
Since the crystallinity of hydroxyapatite created by bioactive sealers could affect their solubility percentage, this study aimed to analyze the degree of crystallinity and mineral maturity of hydroxyapatite crystals formed by bioactive (Cerafil and Endo... ver más
Revista: Applied Sciences

 
Carlos Matos, Pedro Cabrera, José A. Carta and Noemi Melián-Martel    
Water scarcity is a global problem that particularly affects islands located in arid regions or regions with limited water resources. This issue has prompted the development of non-conventional water sources such as fossil fuel-powered desalination syste... ver más

 
Yongzhen Zhang, Yanbo Hui, Ying Zhou, Juanjuan Liu, Ju Gao, Xiaoliang Wang, Baiwei Wang, Mengqi Xie and Haonan Hou    
Moldy corn produces aflatoxin and gibberellin, which can have adverse effects on human health if consumed. Mold is a significant factor that affects the safe storage of corn. If not detected and controlled in a timely manner, it will result in substantia... ver más
Revista: Applied Sciences