The Effect of Natural Thermal Cycles on Rock Outcrops: Knowledge and Prospect

Merrien‐Soukatchoff, Véronique; Gasc‐Barbier, Muriel

doi:10.1007/s00603-023-03420-1

Cited by 5 publications

(2 citation statements)

References 79 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is because in more porous rocks, the ability of the rock to deform laterally without significant axial strain is enhanced. These results highlight the relationships between CRIs and key elasticity parameters, which play a key role in constitutive modelling formulations 60 . Especially, these models are often founded on laboratory results, which may not fully account for the heterogeneity of field conditions.…”

Section: Resultsmentioning

confidence: 76%

Infrared thermography reveals weathering hotspots at the Požáry field laboratory

Loche,

Racek,

Petružálek

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Evaluating physical properties and mechanical parameters of rock slopes and their spatial variability is challenging, particularly at locations inaccessible for fieldwork. This obstacle can be bypassed by acquiring spatially-distributed field data indirectly. InfraRed Thermography (IRT) has emerged as a promising technology to statistically infer rock properties and inform slope stability models. Here, we explore the use of Cooling Rate Indices (CRIs) to quantify the thermal response of a granodiorite rock wall within the recently established Požáry Test Site in Czechia. We observe distinct cooling patterns across different segments of the wall, compatible with the different degrees of weathering evaluated in the laboratory and suggested by IRT observations of cored samples. Our findings support previous examinations of the efficacy of this method and unveil correlations between cooling phases in the field and in the laboratory. We discuss the scale-dependency of the Informative Time Window (ITW) of the CRIs, noting that it may serve as a reference for conducting systematic IRT field surveys. We contend that our approach not only represents a viable and scientifically robust strategy for characterising rock slopes but also holds the potential for identifying unstable areas.

show abstract