Ingenieurgeologie

Prinz, Helmut; Strauß, Roland

doi:10.1007/978-3-662-54710-6

Cited by 26 publications

(19 citation statements)

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“…These tests are short term with a maximum depth of some hundred meters. Permeabilities are approximated by empirical solutions and are reported to range between 1E−18 and 1E−8 m 2 [ Denzel et al , ; Heitfeld et al , ; Prinz and Strauß , ; Sievänen , ; Snow , ; Steiner et al , ], roughly agreeing with the compiled data (Tables and ).…”

Section: Technical Factors Controlling Permeability Distributionsmentioning

confidence: 55%

“…Based on high‐quality flow rate and pressure monitoring data, diagnostic plots and heterogeneous flow models with various types of inner and outer boundary conditions [ Horne , ; Kruseman and de Ridder , ] can be applied to the analysis of such packer test data. Thus, packer test results can have a very high accuracy and cover a wide permeability range, as shown by the compiled data set [Table ; Almén et al , ; Clauser , ; Heitfeld et al , ; Lee et al , ; Leech et al , ; Prinz and Strauß , ; Steiner et al , ].…”

Section: Technical Factors Controlling Permeability Distributionsmentioning

confidence: 99%

“…Controls on site‐scale permeabilities can be roughly separated into technical and geological factors. Technical factors relate to the measurement method [e.g., Butler and Healey , ; Heitfeld et al , ; Prinz and Strauß , ; Scibek et al , ; Steiner et al , ], the tested interval length and its orientation, the radius of influence, or the tested rock volume [e.g., Clauser , ; Follin and Stigsson , ; Guéguen et al , ; Illman and Tartakovsky , ; Mattila and Tammisto , ; Nastev et al , ; Rumble , ; Schulze‐Makuch et al , ; ; Shapiro et al , ; Winkler and Reichl , ; Zimmermann et al , ; Zlotnik et al , ]. The nature and distribution of fractures is the most important geological factor determining permeability distribution at site scale in crystalline basement, as fractures provide secondary porosity and connectivity [e.g., Long et al , ].…”

Section: Introductionmentioning

confidence: 99%

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A new global database to improve predictions of permeability distribution in crystalline rocks at site scale

2017

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A comprehensive worldwide permeability data set has been compiled consisting of 29,000 in situ permeabilities from 221 publications and reports and delineating the permeability distribution in crystalline rocks into depths of 2000 meters below ground surface (mbgs). We analyze the influence of technical factors (measurement method, scale effects, preferential sampling, and hydraulic anisotropy) and geological factors (lithology, current stress regime, current seismotectonic activity, and long‐term tectonogeological history) on the permeability distribution with depth, by using regression analysis and k‐means clustering. The influence of preferential sampling and hydraulic anisotropy are negligible. A scale dependency is observed based on calculated rock test volumes equaling 0.6 orders of magnitude of permeability change per order of magnitude of rock volume tested. Based on the entire data set, permeability decreases as log(k) = −1.5 × log(z) − 16.3 with permeability k (m2) and positively increasing depth z (km), and depth is the main factor driving the permeability distribution. The permeability variance is about 2 orders of magnitude at all depths, presumably representing permeability variations around brittle fault zones. Permeability and specific yield/storage exhibit similar depth trends. While in the upper 200 mbgs fracture flow varies between confined and unconfined, we observe confined fracture and matrix flow below about 600 mbgs depth. The most important geological factors are current seismotectonic activity (determined by peak ground acceleration) and long‐term tectonogeological history (determined by geological province). The impact of lithology is less important. Based on the regression coefficients derived for all the geological key factors, permeability ranges of crystalline rocks at site scale can be predicted. First tests with independent data sets are promising.

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Section: Technical Factors Controlling Permeability Distributionsmentioning

confidence: 55%

Section: Technical Factors Controlling Permeability Distributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new global database to improve predictions of permeability distribution in crystalline rocks at site scale

2017

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“…A friction angle of 10–25° and a cohesion of >10 kPa are characteristic for strongly cohesive soils [ 33 ]. This behavior of the loose material in the drilling cores is already apparent from the results of the sieving tests and the Atterberg limits tests, which mostly identified fine material with plastic behavior.…”

Section: Resultsmentioning

confidence: 99%

Investigation of Critical Geotechnical, Petrological and Mineralogical Parameters for Landslides in Deeply Weathered Dunite Rock (Medellín, Colombia)

Breuninger

Menschik

Demharter

et al. 2021

IJERPH

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The current study site of the project Inform@Risk is located at a landslide prone area at the eastern slopes of the city of Medellín, Colombia, which are composed of the deeply weathered Medellín Dunite, an ultramafic Triassic rock. The dunite rock mass can be characterized by small-scale changes, which influence the landslide exposition to a major extent. Due to the main aim of the project, to establish a low-cost landslide early warning system (EWS) in this area, detailed field studies, drillings, laboratory and mineralogical tests were conducted. The results suggest that the dunite rock mass shows a high degree of serpentinization and is heavily weathered up to 50 m depth. The rock is permeated by pseudokarst, which was already found in other regions of this unit. Within the actual project, a hypothesis has for the first time been established, explaining the generation of the pseudokarst features caused by weathering and dissolution processes. These parameters result in a highly inhomogeneous rock mass and nearly no direct correlation of weathering with depth. In addition, the theory of a secondary, weathering serpentinization was established, explaining the solution weathering creating the pseudokarst structures. This contribution aims to emphasize the role of detailed geological data evaluation in the context of hazard analysis as an indispensable data basis for landslide early warning systems.

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“…With the vast body of soil parameter-related correlations and design methods available based on the penetration resistance of the CPT, a relationship between the results obtained from the DP and the CPT is benefi cial. There are several sources in the literature which provide values or indications of such relationships for diff erent soil types [4][5][6][7][8].…”

Section: Introduction and Scopementioning

confidence: 99%

Factors influencing correlations between CPT and DPH

Henzinger¹,

Krösbacher²,

Vogt

2022

Geotechnik

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Despite the widespread availability and superior information provided by the cone penetration test (CPT), dynamic probes like the DPH (dynamic probe heavy) remain an important soil investigation method under certain circumstances. In order to make use of the results of the DPH in the context of the vast body of interpretation and design methods developed for CPT tests, the drop count N10 of the DPH is correlated to the tip resistance qc of the CPT. There are numerous correlations between both values available in the standards and in the literature. However, any soil‐related differences, limitations, and factors influencing those correlations are not necessarily obvious. The present paper presents a simple framework for the illustration of influencing factors and the interpretation of correlations between DPH and CPT. The proposed framework is based on the information provided in EN ISO 22476‐1 and published scientific literature. Linear correlation factors based on the proposed framework are derived. These factors are then compared with our own field data and information from the literature.

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Ingenieurgeologie

Cited by 26 publications

References 0 publications

A new global database to improve predictions of permeability distribution in crystalline rocks at site scale

A new global database to improve predictions of permeability distribution in crystalline rocks at site scale

Investigation of Critical Geotechnical, Petrological and Mineralogical Parameters for Landslides in Deeply Weathered Dunite Rock (Medellín, Colombia)

Factors influencing correlations between CPT and DPH

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