2020
DOI: 10.1016/j.still.2019.104530
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Which evidence attests for soil aggregate rupture? A new criterion to determine aggregate tensile strength

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Cited by 10 publications
(4 citation statements)
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“…Moreover, there might be criteria other than the work needed for a certain level of strain that are better indicators of mechanical strength. Notably, the frequent notion of “aggregate failure,” for example, defined by the emergence of equatorial cracks as suggested by Barbosa and de Oliveira Ferraz (2020) is not suitable for microaggregates because these distinct equatorial cracks do not seem to occur at this scale. Furthermore, the shape of microaggregates can strongly deviate from a sphere, which violates a basic assumption of the concept of tensile strength measured by the force at aggregate rupture (Rogowski et al., 1968).…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, there might be criteria other than the work needed for a certain level of strain that are better indicators of mechanical strength. Notably, the frequent notion of “aggregate failure,” for example, defined by the emergence of equatorial cracks as suggested by Barbosa and de Oliveira Ferraz (2020) is not suitable for microaggregates because these distinct equatorial cracks do not seem to occur at this scale. Furthermore, the shape of microaggregates can strongly deviate from a sphere, which violates a basic assumption of the concept of tensile strength measured by the force at aggregate rupture (Rogowski et al., 1968).…”
Section: Discussionmentioning
confidence: 99%
“…This test consists basically of a controlled aggregate rupture while the forces are monitored. The point of failure for each aggregate was detected when a sudden drop in force 56 . The rupture force, , was used to calculate the tensile strength, 54 : where is the diameter of an individual aggregate, calculated as 57 .…”
Section: Methodsmentioning
confidence: 99%
“…The trained algorithm was used to predict new data combining variables and output. For the assessment of the regression algorithm 56 the metrics were: 1) coefficient of determination R2-score, which represents the proportion of the variance in the dependent variable that can be explained by the independent variables in the mode (the best possible score is 1.0) and 2) Mean Absolute Error in percentage (MAEp), which finds all absolute errors (xi–x), adds them all and divide by the number of errors. In RF, the depth of a variable used as a decision node in a tree can be used to assess the relative importance of that variable in predicting the output.…”
Section: Methodsmentioning
confidence: 99%
“…TS is determined by a simple test, in a wide range of aggregate sizes, which improves its statistical confidence. According to TS values, the soil quality is reached when aggregates are small enough to allow of the formation of a friable seeding layer after soil preparation, but large enough to support the weight of heavy equipment with a minimum compaction (Lehrsch et al, 2012;Barbosa & Ferraz, 2020). The surface layer of an Argissolo Vermelho-Amarelo (Typic Hapludult) under annual crops showed TS values lower than those observed under natural pasture or natural vegetation, according to Reis et al (2014b).…”
Section: Introductionmentioning
confidence: 99%