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2 edition of Slope stability probability classification found in the catalog.

Slope stability probability classification

Henri Robert George Kenneth Hack

Slope stability probability classification

SSPC = Helling stabiliteit classificatie : SSPC

by Henri Robert George Kenneth Hack

  • 333 Want to read
  • 37 Currently reading

Published by International Institute for Aerospace Survey and Earth Sciences in Delft .
Written in English

    Subjects:
  • Rock slopes.,
  • Rock mechanics -- Mathematical models.,
  • Probabilities.,
  • Rocks -- Classification.

  • Edition Notes

    Other titlesHelling stabiliteit classificatie
    StatementHenri Robert George Kenneth Hack.
    SeriesITC publication ; no. 43, ITC publication (Enschede, Netherlands) ;, no. 43.
    Classifications
    LC ClassificationsTA706 .H33 1996
    The Physical Object
    Paginationxviii, 258 p. :
    Number of Pages258
    ID Numbers
    Open LibraryOL427273M
    LC Control Number98133490


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Slope stability probability classification by Henri Robert George Kenneth Hack Download PDF EPUB FB2

(PDF) Slope Stability Probability Classification; SSPC | Robert H R G K Hack and Niek Rengers - The newly developed system presented in this paper is based on a three-step approach and on the probabilistic assessment of independently different failure mechanisms in a slope.

Karaman () and Karaman et al. () utilized the Slope Stability Probability Classification (SSPC) system (Hack, ) and determined the maximum slope height for design of safe slopes. Slope Stability probability Classification (SSPC) University Twente.

27 TU Delft SSPC Robert Hack 40 SSPC. The slope stability probability classifi- cation (SSPC) system is a novel method. However, it has two limitations when applied to rock slopes: 1) it is only suitable for slopes less than 45 m in height, and 2) there is great subjectivity.

Using these measurements slope stability probability classifications (SSPC) have been quantified based on an adaptation of Hack's [Slope Stability Probability Classification, ITC Delft Publication.

The Slope Stability Probability Classification (SSPC) system was developed by Hack () as a specific tool for classifying a rock mass and assessing the in situ stability and probability of failure of an engineered slope constructed in that rock mass.

The SSPC system is designed specifically for slopes, unlike many other rock mass classification systems which are applied. A new approach: slope stability probability classification (SSPC) Expressions for uncertainty in establishing rock mass properties and for variation of properties (Nilsen ) and Slope stability probability classification book applicability of the calculation method are also absent in existing rock mass classification.

Using these measurements slope stability probability classifications (SSPC) have been quantified based on an adaptation of Hack's [Slope Stability Probability Classification, ITC Delft Publication, Enschede, Netherlands, vol.

43,pp.] SSPC system, which places less influence on rock quality designation and unconfined compressive strength than previous slope/rock mass rating systems. SLOPE STABILITY 1. Purpose. This engineer manual (EM) provides guidance for analyzing the static stability of slopes of earth and rock-fill dams, slopes of other types of embankments, excavated slopes, and natural slopes in soil and soft rock.

Methods for analysis of slope stability are described and are illustrated by examples in the appendixes. Methodology (NSM, Shuk, ), Slope Stability Probability Classification (SSPC, Hack, ), modified Slope Stability Pro bability Classification (SSP C modified, Lindsay et al., The definitive guide to the critical issue of slope stability and safety.

Soil Strength and Slope Stability, Second Edition presents the latest thinking and techniques in the assessment of natural and man-made slopes, and the factors that cause them to survive or crumble. Using clear, concise language and practical examples, the book explains the practical aspects of geotechnical engineering Reviews: The methodology is compared against the probabilistic approach proposed by the program SLOPE/W version (Geostudio Group, ), and demonstrates its potential for predicting probability of failure (p f) in non-homogeneous soil structures characterized by phreatic conditions and potential post-earthquake liquefiable conditions.

Unlike other systems, the Q-slope focuses on the stability analysis of discontinuous rock slopes to classify rock slopes in stable, unstable, and uncertain states by applying elementary assumptions.

The authors have used the Q number to determine slope reliability, which requires an assignment of the parametric values. The slope stability probability classification (SSPC) system is a rock mass classification system for slope engineering and slope stability assessment.

The system is a three-step classification: ‘exposure’, ‘reference’, and ‘slope’ rock mass classification with conversion factors between the three steps depending on existing and future weathering and damage due to method of excavation. Title: Slope stability probability classification SSPC: Author: Hack, H.R.G.K.

Thesis advisor: Rengers, N. Publisher: Department of Earth Systems Analysis; Faculty of. Determination of Stability of Rock Slope Using Intelligent Pattern Recognition Techniques: /ch This article adopts Minimax Probability Machine (MPM) and Extreme Learning Machine (ELM) for prediction of stability status of rock slope.

The proposed MPM. In the Sandstone Museum of Bad Bentheim a short presentation was given on the Slope Stability Probability Classification (SSPC) (Hack et al., ).

A rock mass classification and slope stability assessment was done to show the practical application of the SSPC system in the nearby Romberg Quarry in Gildehaus.

To address this problem, this paper develops a MCS-based approach for efficient evaluation of the system failure probability P f, s of slope stability in spatially variable soils. The proposed approach allows explicit modeling of the inherent spatial variability of soil properties in a system reliability analysis of slope stability.

A free set of notes is available based on select case histories, each carefully chosen to illustrate the concepts and practical approaches used. From tunneling in South America to slope stability in Hong Kong, Practical Rock Engineering is an invaluable reference tool.

The book is available in its entirety, or by chapter, below. Slope Stability Probability Classification (SSPC). Results show that there are five engineering geological units: Andesitic Breccia Unit 1, Andesitic Breccia Unit 2, Tuff unit, Tuffaceous.

The stability of a hypothetical unsaturated slope (10 m high and a gradient of 3(H):2(V)) is analyzed by the simplified Bishop method of slices. Consider that the ground water table is far below from the slope surface and the suction is controlled by the water content of the soil.

Abstract. Slope Stability Analysis by the Limit Equilibrium Method: Fundamentals and Methods presents basic principles for the safe design of constructed or natural earth slopes. The limit equilibrium method is the most common approach for analyzing slope stability in both two and three dimensions.

R. Hack, D. Price, N. RengersA new approach to rock slope stability—a probability classification (SSPC) Bull Eng Geol Environ, 62 (), pp.

either the slope’s geometry or a structure to restrain the slope. Traditional slope stability analysis uses single value estimates for each variable in the slope stability equations.

The variables used for slope stability analysis are the physical characteristics of the soil and the slope geometry. to overcome these uncertainties because of these inputs, Hack () developed Slope Stability Probability Classification (SSPC) by placing less influence on strength than other mass rating systems (Lindsay et al., ) and focusing on discontinuity parameters (Canal & Akın, ).

HACK HRGK () Slope stability probability classification, SSPC, 2nd edn. ITC, Enschede, The Netherlands, pp, ISBN 90 3 ROMANA M.

The geomechanical classification SMR for slope correction. Proc. Int. Congress on Rock Mechanics 3: Fig. Culmann Aproach to Slope Stability CULMANN METHOD A technique for the calculation of slope stability based upon the assumption of a plane surface of failure through the toe of the slope has been proposed by Culmann (see Taylor, ).

In Fig. the line QS represents a plane potential failure surface. The forces acting on the. As sliding along any slip surface can cause slope failure, the system failure probability of a slope is different from the probability of failure along an individual slip surface.

In this paper, we first suggest an efficient method for evaluating the system failure probability of a slope that considers a large number of possible slip surfaces.

Read "A new approach to rock slope stability – a probability classification (SSPC), Bulletin of Engineering Geology and the Environment" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

The sliding criterion is part of the Slope Stability Probability Classification (SSPC) system for slope stability analyses.

Table 1. Discontinuity characterization & factors. characterization factor Roughness large scale (Rl) wavy slightly wavy curved slightly curved Geotechnical engineering, also known as geotechnics, is the branch of civil engineering concerned with the engineering behavior of earth uses the principles and methods of soil mechanics and rock mechanics for the solution of engineering problems and the design of engineering works.

It also relies on knowledge of geology, hydrology, geophysics, and other related sciences. In this paper, a review of existing research on infiltration analysis and slope stability analysis under rainfall infiltration is presented. Studies on infiltration analysis with conceptual models, analytical analysis and numerical modelling are first reviewed.

The typical pore water pressure profiles in the slope are then discussed. Factors That Control Slope Stability Mass wasting happens because tectonic processes have created uplift. Erosion, driven by gravity, is the inevitable response to that uplift, and various types of erosion, including mass wasting, have created slopes in the uplifted regions.

In this study, slope stability is presented as an optimization problem and the simulated annealing (SA) method is used to identify the slip surface with the minimum safety factor. The SA algorithm is then integrated with the Monte Carlo sampling method to calculate the probability of slope.

On 25 August a day excursion in rock mass classification was organized in Bad Bentheim, Germany, by the Dutch Association of Engineering Geologists (Ingeokring). In the Sandstone Museum of Bad Bentheim a short presentation was given on the Slope Stability Probability Classification (SSPC) (Hack et al., ).

GEO-SLOPE International Ltd, Calgary, Alberta, Canada SLOPE/W Example File: Probabilistic and (pdf)(gsz) Page 1 of 8 Probability and Sensitivity 1 Introduction The purpose of this illustrative example is to show how you can do a probabilistic analysis and a sensitivity analysis of the stability of a slope.

Deterministic seismic slope stability design charts for cohesive–frictional () soils are traditionally used by geotechnical engineers to include the effects of earthquakes on charts identify the critical seismic load event that is sufficient to bring the slope to a state of limit equilibrium, but they do not specify the probability of this event.

The newly developed system presented in this paper is based on a three-step approach and on the probabilistic assessment of independently different failure mechanisms in a slope.

First, the scheme classifies rock mass parameters in one or more. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms.

Specifications is followed for structure classification of bridges, except that the AASHTO specifications (e.g., 7 percent probability of exceedance in 75 years for other structures, which is an approximate return period of 1, years). decrease the overall slope stability factor of safety by more thanthe requirement to.

Slope Stability Probability Classification. Miscellaneous» Unclassified. Add to My List Edit this Entry Rate it: ( / 0 votes) Translation Find a translation for Slope Stability Probability Classification in other languages: Select another language: Select - 简体中文 (Chinese - Simplified).

Probability of soil saturation (PSS) by physically based methods. The effect of rainfall on slope stability is due to a complex physical process involving the advance of the wet front and the consequent increase in pore pressure and reduction of soil cohesion.Fuzzy Rock Mass Rating: Soft-Computing-Aided Preliminary Stability Analysis of Weak Rock Slopes: /ch Rock mass classification systems are the most commonly used empirical tools in preliminary design of rock slopes.

In spite of numerous advantages, these.