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https://hdl.handle.net/10356/184368
Title: | Advanced scanning technology for volume change measurement of residual soil | Authors: | Orazayeva, Saltanat Satyanaga, Alfrendo Kim, Yongmin Rahardjo, Harianto Qian, Zhai Moon, Sung-Woo Kim, Jong |
Keywords: | Engineering | Issue Date: | 2024 | Source: | Orazayeva, S., Satyanaga, A., Kim, Y., Rahardjo, H., Qian, Z., Moon, S. & Kim, J. (2024). Advanced scanning technology for volume change measurement of residual soil. Applied Sciences, 14(23), 10938-. https://dx.doi.org/10.3390/app142310938 | Journal: | Applied Sciences | Abstract: | Weathering processes of rocks lead to the formation of residual soil layers, which are typically characterized by a deep groundwater table and a thick unsaturated zone. Hence, the calculation of a slope’s safety factor under the influences of climatic circumstances is a function of unsaturated characteristics, such as the soil–water characteristic curve (SWCC). To determine the SWCC, the volume of the soil specimen must be determined in order to compute the void ratio and degree of saturation. The drying processes of the soil specimen led to uneven soil volume change during laboratory SWCC testing, demanding the development of a soil shrinkage curve. Several methods for measuring soil volume change have been developed over the years. However, there are significant limitations, and it is rarely used due to the difficulty linked to accurately measuring the soil volume during drying processes. In this study, a revised scanning approach is developed to evaluate residual soil volume change utilizing 3D scanning technology. The proposed method is applied in a case study on residual soil from the Old Alluvium in Singapore. The laboratory data and analysis results suggested that 3D scanning technology should be required to provide a correct estimation of the air-entry value of soil. | URI: | https://hdl.handle.net/10356/184368 | ISSN: | 2076-3417 | DOI: | 10.3390/app142310938 | Schools: | School of Civil and Environmental Engineering | Rights: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | CEE Journal Articles |
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applsci-14-10938-v2.pdf | 5.77 MB | Adobe PDF | ![]() View/Open |
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