2020 IEEE Symposium Series on Computational Intelligence (SSCI) 2020
DOI: 10.1109/ssci47803.2020.9308136
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Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve

Abstract: The prediction of the road's properties under the influence of water infiltration is important for pavement design and management. Traditionally, this prediction heavily relied on expert estimates. In the last decades, complex empirical formulas have been proposed to capture the expert's intuition in estimating the effect of water infiltration on the stiffness of the pavement's payers. Of special importance is the effect of water intrusion on the pavement's foundation-known as subgrade soil. In this paper, we … Show more

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Cited by 2 publications
(1 citation statement)
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“…The tests performed show an average frame transmission performance of 97.5%. On the other hand, the reliability of the moisture data obtained is 90% compared to tensiometric techniques, which is adequate according to studies on soil moisture, such as, the information of the Soil Water Characteristic Curve (SWCC) [14].…”
Section: Resultsmentioning
confidence: 99%
“…The tests performed show an average frame transmission performance of 97.5%. On the other hand, the reliability of the moisture data obtained is 90% compared to tensiometric techniques, which is adequate according to studies on soil moisture, such as, the information of the Soil Water Characteristic Curve (SWCC) [14].…”
Section: Resultsmentioning
confidence: 99%