Climate‐Controlled Soil Design Parameters for Mat Foundations

McKeen, R G; Johnson, Lawrence D.

doi:10.1061/(asce)0733-9410(1990)116:7(1073)

Cited by 59 publications

(19 citation statements)

References 3 publications

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“…active zone depth), substantially affected by climatic variations, and the soil below is assumed to be intact. The depth of active zone may vary with soil properties and environmental factors [40]. Yoshida et al [62] predicted the total heave of a slab-on-grade floor on Regina clay considering the active zone depth as 2.8 m. For this reason, the active zone depth is assumed as 3 m in the present study.…”

Section: Model Slope Establishmentmentioning

confidence: 92%

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Vanapalli

2015

Computers and Geotechnics

124

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Section: Model Slope Establishmentmentioning

confidence: 92%

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Vanapalli

2015

Computers and Geotechnics

124

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“…While water entry into the soil is driven predominantly by hydraulic forces, water leaving the soil below the wilting point is related to the diffusion coefficient. This value can be calculated: (1) in the laboratory; (2) in the field based on analysis of soil moisture variations with depth over time (McKeen and Johnson, 1990); and (3) from analysis of well level declines in the active zone over time. Since estimates of the drainable porosity and diffusivity are difficult without extensive laboratory tests or field measurements, available field measurements of well heights over time were used to calculate the lag in this study.…”

Section: Crack Submodelmentioning

confidence: 99%

Estimation of soil cracking and the effect on surface runoff in a Texas Blackland Prairie watershed

Arnold

Potter

King

et al. 2005

Hydrological Processes

100

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Abstract:Seasonal cracking of the soil matrix results in poor estimates of runoff and infiltration by simulation models due to the changing soil storage conditions. In this study, soil surface elevation changes were measured every two weeks and soil crack volume was calculated for a two-year period at the USDA-Agricultural Research Service, Riesel Y-2 watershed in central Texas. Soil anchors were placed in triplicate at depths of 0Ð15, 0Ð45, 0Ð90, 1Ð50 and 2Ð5 m and relative movement from a monument at 4Ð5 m was measured. Soil movement was translated into crack volume assuming isotrophic shrinkage. A crack flow model was developed for this study that computes crack volume from crack potential, soil depth and soil moisture. Simulated crack volume followed the seasonal trends found in the measured crack volume and was in general agreement with a regression R 2 D 0Ð84. The crack model was incorporated into SWAT (Soil and Water Assessment Tool), a comprehensive hydrologic model. Regression analysis was performed on measured and simulated daily surface runoff with an R 2 D 0Ð87 indicating good agreement. The model was able to simulate surface runoff accurately in winter months when cracks were swelled closed and in the fall recharge events of 1998 when crack volume went from 70 to 10 mm. The relationships between measured crack volume and hydrologic variables simulated by the model were also examined and discussed.

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“…where u is the total soil suction expressed in pF units (1 kPa=0.1×10 pF ), α is the diffusion coefficient (mm 2 /s) which can be measured in the laboratory (Mitchell, 1979) or calculated from empirical equations (McKeen and Johnson, 1990;Bratton, 1991;Lytton, 1994), p is the unsaturated permeability (mm/s), and f (x, y, z, t) is the internal source of moisture. SUCH program is written in FORTRAN language, utilizing the finite difference technique to solve the transient suction diffusion equation (Eq.…”

Section: Wray Et Al (2005) Methodsmentioning

confidence: 99%

Review of methods for predicting in situ volume change movement of expansive soil over time

Adem

Vanapalli

2015

Journal of Rock Mechanics and Geotechnical Engineering

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The soil movement information over time is required for the design of foundations placed in expansive soils. This information is also helpful for the assessment of pre-wetting and controlled wetting mitigation alternatives for expansive soils. Several researchers during the past fifteen years have proposed different methods for the prediction of the soil movements over time. The available methods can be categorised into (i) consolidation theory-based methods, (ii) water content-based methods, and (iii) suction-based methods. In this paper, a state-of-the-art of the prediction methods is succinctly summarized. The methods are critically reviewed in terms of their predictive capacity along with their strengths and limitations. The review highlights the need for prediction methods that are conceptually simple yet efficient for use in conventional engineering practice for different types of expansive soils.

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Climate‐Controlled Soil Design Parameters for Mat Foundations

Cited by 59 publications

References 3 publications

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Hydro-mechanical coupling effect on surficial layer stability of unsaturated expansive soil slopes

Estimation of soil cracking and the effect on surface runoff in a Texas Blackland Prairie watershed

Review of methods for predicting in situ volume change movement of expansive soil over time

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