Data based model to estimate subgrade moisture variation case study: Low volume pavement in North Texas

Hedayati, Mahsa; Hossain, Sahadat

doi:10.1016/j.trgeo.2015.03.001

Cited by 19 publications

(15 citation statements)

References 20 publications

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“…It was concluded that the linear plot best described the trend of moisture increase caused by rainfall, as shown in Figure 4, b and c , for a selected sensor for consecutive 2 years. Similar results were reported by previous researchers ( 21 , 27 ). Parameters (i.e., slope and intersection) of the four sensors were averaged to find the increase in moisture content caused by rainfall.…”

Section: Moisture Data Analysissupporting

confidence: 93%

“…Annual variation of subgrade moisture can be described by the following one-dimensional nonlinear diffusion function ( 21 , 23 ):…”

Section: Theory Of Moisture Modelingmentioning

confidence: 99%

“…The first term of the solution captures the yearly average moisture content at any depth, whereas the second term accounts for the seasonal variations of moisture. Temporal variations associated with rainfall must also be addressed to capture all of the moisture variations in subgrade soil ( 21 ). Previous studies showed that soil and site conditions affect the seasonal and temporal variations of subgrade moisture ( 24 , 25 ).…”

Section: Theory Of Moisture Modelingmentioning

confidence: 99%

“…The strength and performance of a pavement built on expansive subgrade is most influenced by moisture ( 6 ). Hedayati reported moisture content variation, which typically induces pavement cracking, as the prime cause of subgrade deformation in expansive soil ( 7 ). Fluctuations in moisture content are influenced by the pavement subgrade compaction site, environmental site conditions, location of roadside trees, and the presence of nearby drainage ditches ( 3 ).…”

mentioning

confidence: 99%

“…Neither sort of developed method, from soil properties or from computational techniques, can accommodate the temporary moisture variations that are caused by rainfall. Various field studies have reported that following rainfall, increases in moisture content can be up to 20% in amplitude from the baseline moisture content ( 20 , 21 , and 22 ). Hedayati et al reported that this additional increase in moisture can severely deteriorate the pavement structure, a factor which is overlooked in the current models ( 21 ).…”

mentioning

confidence: 99%

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Data-Based Real-Time Moisture Modeling in Unsaturated Expansive Subgrade in Texas

Ahmed

Hossain

Khan

et al. 2018

Transportation Research Record

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Moisture variations significantly influence the strength and stiffness of expansive subgrade soils, shortening the service lives of pavements and increasing the associated maintenance costs. Accurate measurements of soil moisture can be obtained through soil sampling and testing, but the process can be extensive and costly. Empirical models can accurately predict the moisture variations in an expansive subgrade in a shorter period of time, with lower accompanying costs. The objective of the current study was to develop moisture models, using real-time field monitoring data from two hot mix asphalt roads in North Texas. The collected data were analyzed in a statistical environment to solve two first degree Fourier series. The solution produced a moisture variation model that captured variations associated with seasonal effects and temporary variations associated with rainfall. The outputs of this model were within 90% of the values measured on site. Application of the developed models will facilitate noninvasive estimations of the response of soil strength and stiffness properties to variations in moisture.

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Section: Moisture Data Analysissupporting

confidence: 93%

“…Annual variation of subgrade moisture can be described by the following one-dimensional nonlinear diffusion function ( 21 , 23 ):…”

Section: Theory Of Moisture Modelingmentioning

confidence: 99%