R
Robert Hack
Researcher at International Institute of Minnesota
Publications - 20
Citations - 972
Robert Hack is an academic researcher from International Institute of Minnesota. The author has contributed to research in topics: Rock mass classification & Slope stability. The author has an hindex of 12, co-authored 16 publications receiving 812 citations. Previous affiliations of Robert Hack include University of Twente.
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Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India)
TL;DR: In this article, a logistic regression method for landslide susceptibility mapping and verifies the result by comparing it with the geotechnical-based slope stability probability classification (SSPC) methodology.
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Geophysics For Slope Stability
TL;DR: A pre-requisite in slope stability analyses is that the internal structure and the mechanical properties of the soil or rock mass of the slope, are known or can be estimated with a reasonable degree of certainty.
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Method for Automated Discontinuity Analysis of Rock Slopes with Three-Dimensional Laser Scanning
TL;DR: In this paper, a 3D laser scanning data set of data is used to characterize discontinuous rock masses in an unbiased, rapid, and accurate manner, which is less expensive than traditional manual survey and analysis methods.
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Some new pre-warning criteria for creep slope failure
TL;DR: In this article, the authors proposed a new method to carry out phase division and explore tangential angular features of the displacement-time curve of creep slopes as well as the acceleration characteristics in the process of slope deformation and the pre-warning criteria for critical failure.
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Influence of earthquakes on the stability of slopes
TL;DR: In this article, a comparison is made between different methodologies to analyze the potential stability of slopes during earthquakes, and it is shown that the stability is influenced by so many parameters that are either not known or which influence is so poorly known that a decent estimation of stability cannot be made.