2012
DOI: 10.5194/tc-6-1163-2012
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P-wave velocity changes in freezing hard low-porosity rocks: a laboratory-based time-average model

Abstract: Abstract. P-wave refraction seismics is a key method in permafrost research but its applicability to low-porosity rocks, which constitute alpine rock walls, has been denied in prior studies. These studies explain p-wave velocity changes in freezing rocks exclusively due to changing velocities of pore infill, i.e. water, air and ice. In existing models, no significant velocity increase is expected for low-porosity bedrock. We postulate, that mixing laws apply for high-porosity rocks, but freezing in confined sp… Show more

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Cited by 62 publications
(56 citation statements)
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“…The closing behavior contradicts to field observations of several authors (Collins & Stock, 2016;. In the (i) top-down-tests, Phase-2 starts at RT between -1.63 and -1.45°C due to freezing point depression, which is in accordance with previous observations by Draebing and Krautblatter (2012) and results from solutes, pressure, and crack geometry (Lock, 2005). The crack opening during Phase-2 results from freezing of the crack water infill and concurrent volumetric expansion.…”
Section: Path-dependency Of Frost Crackingsupporting
confidence: 65%
See 1 more Smart Citation
“…The closing behavior contradicts to field observations of several authors (Collins & Stock, 2016;. In the (i) top-down-tests, Phase-2 starts at RT between -1.63 and -1.45°C due to freezing point depression, which is in accordance with previous observations by Draebing and Krautblatter (2012) and results from solutes, pressure, and crack geometry (Lock, 2005). The crack opening during Phase-2 results from freezing of the crack water infill and concurrent volumetric expansion.…”
Section: Path-dependency Of Frost Crackingsupporting
confidence: 65%
“…Elastic properties are derived from laboratory tests (Draebing & Krautblatter, 2012) and complement modeled CD ice to calculate ice pressures σ ice (Jia et al, 2017) and ice stress intensity factors K ice (Jia et al, 2017;Tharp, 1987). A thermal expansion coefficient α is derived from linear regression of CD and RT during a preliminary testing period and is used to simulate thermally induced rock deformation (CD th ).…”
Section: Methodsmentioning
confidence: 99%
“…The physical properties of the paragneiss bedrock are based on values given by Cermák and Rybach (): rock density was set to 2600 kg m ‐3 , thermal conductivity 2.5 W m ‐1 K ‐1 and specific heat capacity 800 J kg ‐1 K ‐1 . The porosity of the rock (2.40 ± 0.12%) was measured in the laboratory (Draebing and Krautblatter, ) and the solid content was assumed to be 97%, accounting for pores and fractured space containing ice or water.…”
Section: Methodsmentioning
confidence: 99%
“…Thermal expansion and contraction occur at both positive and negative temperatures (Figures b, d, and f) and thermo‐mechanical CD model (Figures a, c, and e) is in good agreement with the measured CD during snow‐free periods when insulation by snow cover is absent. The derivation of the thermal expansion coefficient from field measurements of CD results in fluctuations of α due to high anisotropy of the slaty paragneiss bedrock at the Steintaelli [ Draebing and Krautblatter , ] and moisture effects [ Aldred et al , ; Eppes et al , ]. The thermo‐mechanical rockwall expansion with coincident crack closing during warming and reversed behavior during cooling was previously described in laboratory tests on microcracks by Cooper and Simmons [].…”
Section: Deciphering Thermo‐mechanical and Cryogenic Deformation Regimesmentioning
confidence: 99%