Experimental study on the physical-mechanical properties of frozen silt

Christ, Martin; Kim, Young-Chin

doi:10.1007/s12205-009-0317-z

Cited by 36 publications

(13 citation statements)

References 9 publications

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“…Contours demonstrate a maximum value as temperature and water content decreases and increases, respectively. This is in accordance with those reported by Christ and Kim [19]. In addition, Christ and Kim [19] found an exponential and linear increase in tensile and compressive strength, respectively, as temperature dropped especially at high water content.…”

Section: Case Studysupporting

confidence: 92%

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Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

Vahdani

Ghazavi

Roustaei

2020

IJE

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The present study was based on a promoting statistical method known as response surface method (RSM). RSM has been applied as an efficient method to optimize many physical applications in industry for more than two decades. In the current study, the RSM was utilized as a platform to develop models as a function of some prescribed input factors to predict mechanical properties (responses) of frozen soils (i.e. peak tensile/compressive strength, elasticity modulus). Besides, RSM makes it possible to find significant factors and probable interactions as well. A widespread literature review was conducted and three case studies were chosen to evaluate the performance of the RSM in developing precise models and finally an optimum experiment. For each case study, less than half of the available data (an average of 40.8%) was employed to develop models and the remaining part was employed to evaluate the validity of derived models. A comparison between predicted and measured data showed a good agreement with a significant level of 0.05. This indicates that upon using the model a hundred times to predict an specific property for different input factors, the maximum five predictions may diverge from the measured values with ± confidence interval. In addition, some contours were plotted to give a comprehensive presentation of any probable correlations between investigated properties and input factors. Based on the developed models with an average correlation coefficients (R 2) of 93.69, temperature was found to be the most significant factor affecting the mechanical properties of frozen fine soil, while the dry density was not as effective as the temperature.

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Section: Case Studysupporting

confidence: 92%

“…The objective of case study 3 reported by Christ and Kim [19] was to evaluate the mechanical properties of frozen Siberian silt. They determined unfrozen water content, uniaxial compressive strength and direct-tensile strength of frozen silt samples at different water contents and temperatures.…”

Section: Case Studymentioning

confidence: 99%

Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

Vahdani

Ghazavi

Roustaei

2020

IJE

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“…Unlike the wellgraded soils studied here ( Fig. 2), tensile strength is mobilised in silts at close to 0°C due to suctions developing in the ice-soil-unfrozen waterair void matrix (Haynes, 1978;Akagawa & Nishisato, 2009;Christ & Kim, 2009;Azmatch et al, 2010Azmatch et al, , 2011. An increase of unfrozen water content as temperatures approach 0°C results in a loss in suction and an associated decrease of tensile strength.…”

Section: Tensile and Fracture Toughness Of Frozen Soilmentioning

confidence: 72%

Three- and four-point bending tests on artificial frozen soil samples at temperatures close to 0 °C

Yamamoto

Springman

2017

Cold Regions Science and Technology

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Degradation of alpine permafrost under global climate change has led to accelerated downslope creep, volume loss due to thawing and surface fissures in rock glaciers. This may lead to mass movements evolving through instabilities. It is hypothesised in this paper that the formation of cracks in the frozen body of a rock glacier can lead to triggering of such failures, and that analogue instrumented beam bending tests (with 3 and 4 supports/loading points) can be used to investigate fracture mechanics in frozen soil, with applications derivable for rock glaciers. Likely transitions between unpredictable brittle behaviour (through rapid crack formation, propagation or matrix destruction) and a more ductile response (dominated by micro-crack nucleation), can be established and quantified as a function of acoustic emission activity, deformation rate, solids-ice content and specimen temperature between-3.2°C and-0.5°C.

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“…Christ and Kim (2009) and Christ and Park (2010) studied the tensile strength for frozen silt and the frozen silt mixtures based on the direct tensile method. Shloido (1968) performed a series of tensile experiments on frozen sand, sandy loam, clay and loam based on indirect tensile method of Brazilian Splitting Method (BSM).…”

Section: Introductionmentioning

confidence: 99%

Laboratory investigation on tensile strength characteristics of warm frozen soils

Zhou

Zhao³

et al. 2015

Cold Regions Science and Technology

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Experimental study on the physical-mechanical properties of frozen silt

Cited by 36 publications

References 9 publications

Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

Prediction of Mechanical Properties of Frozen Soils Using Response Surface Method: An Optimization Approach

Three- and four-point bending tests on artificial frozen soil samples at temperatures close to 0 °C

Laboratory investigation on tensile strength characteristics of warm frozen soils

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