Comparison of testing techniques and models for establishing the SWCC of riverbank soils
✍ Scribed by Soonkie Nam; Marte Gutierrez; Panayiotis Diplas; John Petrie; Alexandria Wayllace; Ning Lu; Juan Jorge Muñoz
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 743 KB
- Volume
- 110
- Category
- Article
- ISSN
- 0013-7952
No coin nor oath required. For personal study only.
✦ Synopsis
The soil water characteristic curve (SWCC), also known as soil water retention curve (SWRC), describes the relationship between water content and soil suction in unsaturated soils. Water content and suction affect the permeability, shear strength, volume change and deformability of unsaturated soils. This paper presents results of the laboratory determination of the SWCC for soil samples obtained from the riverbank of the Lower Roanoke River in North Carolina. Six different testing methods were used to establish the SWCC including the filter paper, dewpoint potentiameter, vapor equilibrium, pressure plate, Tempe cell and osmotic methods. It is concluded that each suction measurement technique provides different measurable ranges of suction values, and the combined results from the different tests provide continuous SWCCs. Three widely available models were also shown to adequately fit the experimental SWCC data, particularly for matric suction values under 1500 kPa. These results will be valuable to practitioners in deciding which methods to use to establish the SWCC, and which empirical relationship to use for modeling the SWCC of riverbank soils.
📜 SIMILAR VOLUMES
## Abstract The chemical tissue test for phosphate using the Morgan reagent was examined. The time of extraction was very critical, the phosphate extracted being in linear relationship to time up to four hours. The first extraction (15 minutes) removed phosphate varying from 3 to 21% of the total
Aortic allotransplantation is a reliable procedure to study the evolvement of chronic rejection in mice. The progressive nature of this process in mice is characterized by diffuse and concentric myointimal proliferation which is inevitably associated with variable degrees of luminal constriction. Th
Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated