Method of Calculating Frost Penetration Depth for Railway Subgrade Considering Thermal Characteristics of Multilayer Materials

Matsumaru, Takaki; Kojima, K.; Tominaga, Masao; Maruyama, Osamu; Ishizuka, Makiko

doi:10.2219/rtriqr.48.142

Cited by 1 publication

(1 citation statement)

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“…Thus, the detrimental effects of frost action, in particular loss of strength during the frost-melt period, are determined by rainfall, as well as depressed air temperatures (Matsumaru et al 2007; Papagiannakis and Masad 2008;Khan and Mrawira 2010).…”

Section: Introductionmentioning

confidence: 99%

Estimation of the depth of frost penetration in both uniform and layered soils in frost-affected regions

Bahadori

Zendehboudi

Zahedi

et al. 2013

International Journal of Pavement Engineering

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One of the most important factors affecting pavement performance is climate, including frost action and precipitation. The performance of pavements in frost-affected regions depends to a large degree on the depth of frost penetration. In this paper, a simple predictive tool is developed to calculate a new correction coefficient depending upon the thermal ratio and fusion parameter. The new correction coefficient can be used in follow-up calculations to estimate the depth of frost penetration for both uniform and layered soils in frost-affected regions to evaluate the performance of pavement. The results of the proposed method are found to be in excellent agreement with reported data in the literature with average absolute deviation being less than 0.8%. The predictive tool is simple, straightforward and can be readily implemented in any standard spreadsheet programme leading to accurate, smooth and non-oscillatory data points. The prime application of the method is as a quickand-easy evaluation tool in conceptual development and scoping studies in which the depth of frost penetration for both uniform and layered soils in frost-affected regions is being considered. The method may also serve as a benchmark in numerical and rigorous simulation studies.

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Section: Introductionmentioning

confidence: 99%