scholarly journals SLOPE STABILITY ASSESSMENT USING MODIFIED D-SLOPE METHOD OF WESTERN PART OF SANDAKAN, SABAH

2020 ◽  
Vol 4 (1) ◽  
pp. 13-17
Author(s):  
Hennie Fitria Wulandary Soehady Erfen ◽  
Amirul Adlie bin Mohd Rosli
Keyword(s):  
Slope Stability ◽  
Kinematic Analysis ◽  
Low Risk ◽  
Stability Assessment ◽  
Rock Slopes ◽  
Slope Analysis ◽  
Slope Method ◽  
Toppling Failure ◽  
Stream System ◽  
Slope Condition

Slope stability assessment using modified D-Slope method is been conducted on five (5) rock slopes from Sandakan, Sabah. D-slope method comprises of G-Rating determination and Potential Instability. G-Rating includes 17 parameters of field observation and laboratory analysis to assess the slope condition. Kinematic analysis is used for Potential Instability analysis to determine the type of failures for each slope. This later is to determine the level of slope’s risk: No Risk, Low Risk, Moderate Risk or High Risk. Based on the results of G-Rating, only slope C1 and C2 have value more than 0.4 while other slopes have less than 0.4 which indicates stable slopes. Based on kinematic analysis, slope C1 and C3 experienced wedge failures, slope C4 with toppling failure, slope C5 with wedge/planar failures and no failure shown for slope C2. D-slope analysis indicates that slope C1 is considered as Low Risk with mitigation suggestions of stream system inspection and vegetation on exposed area of the slopes, while other slopes (C2, C3, C4 and C5) have no suggestion for mitigation as been assessed as No Risk.

scholarly journals A Case Study of Digital Elevation Model-Based Slope Stability Assessment on Managed Forestland in the Oregon Coast Range

2006 ◽  
Vol 21 (4) ◽  
pp. 195-202
Author(s):  
Marvin R. Pyles ◽  
Mari Kramer
Keyword(s):  
Slope Stability ◽  
Digital Elevation Model ◽  
Low Risk ◽  
Correct Prediction ◽  
Stability Assessment ◽  
Forest Management Planning ◽  
Model Based ◽  
The North ◽  
Digital Elevation ◽  
Elevation Model

Abstract An aerial photo-based inventory of landslides on recently harvested and reforested land after a significant landslide-producing storm in February 1996, was compared with a digital elevation model-based assessment of slope stability (shallow landsliding stability model [SHALSTAB]) for Confederated Tribes of Siletz Indians (CTSI) and surrounding forestland. The SHALSTAB predictions of landslide locations did not correlate well with the locations of observed landslides. Eighty-nine percent of the landslides on the more stable landform in the southern portion of the CTSI ownership occurred on land that SHALSTAB indicated to be at a low risk of landsliding. Seventy-two percent of the landslides on the less stable landform to the north occurred on land that SHALSTAB indicated to be at a low risk of landsliding. Conversely, only 11 and 28%, respectively, of the observed landslides occurred on lands predicted to be “chronically unstable” or at “high risk” by SHALSTAB. This level of correct prediction of landsliding was judged to be unacceptable for SHALSTAB to be used for slope stability assessment as a part of forest management planning. West. J. Appl. For. 21(4):195–202.

scholarly journals STABILITY ASSESSMENT OF ROCK SLOPES FROM RANAU, SABAH USING MODIFIED D-SLOPE METHOD

2018 ◽  
Vol 2 (2) ◽  
pp. 25-30
Author(s):  
Hennie Fitria Wulandary Soehady Erfen ◽  
Aiman Nabila Abdul Malik
Keyword(s):  
Stability Assessment ◽  
Rock Slopes ◽  
Slope Method

scholarly journals Application of a Probabilistic Method Based on Neutrosophic Number in Rock Slope Stability Assessment

2019 ◽  
Vol 9 (11) ◽  
pp. 2309 ◽  
Author(s):  
Bo Li ◽  
Kaifeng Zhou ◽  
Jun Ye ◽  
Peng Sha
Keyword(s):  
Slope Stability ◽  
Wide Spectrum ◽  
Probabilistic Method ◽  
Rock Slope Stability ◽  
Stability Assessment ◽  
Rock Slopes ◽  
Good Efficiency ◽  
Natural Rock ◽  
The Stability ◽  
Neutrosophic Number

The stability of natural rock slopes is influenced by a wide spectrum of factors, such as mechanical properties of bedrocks and spatial distribution of discontinuities. Their specific values are typically incomplete, due mainly to the lack of effective and comprehensive methods to accurately characterize these factors, especially those inside of the slopes. The neutrosophic number is a useful tool to solve problems in indeterminate environment. This study introduces the neutrosophic theory into slope stability assessment. A vector similarity measure developed under neutrosophic environment was employed to establish a stability assessment method considering multilevel attributes of slopes. Using this method, the level of stability for studied slopes, i.e., stable, mostly stable, less stable, and instable, was determined by computing the relation indices. The method was applied to a group of rock slopes located in Zhejiang province, China, and the calculated results were compared with the reality of in situ survey. The field application showed that the developed method has a good efficiency and precision in assessing the stability of rock slopes. The obtained weight vector can reveal the key influential parameters that inherently control the stability of rock slopes.

scholarly journals Integration of UAV photogrammetry and kinematic analysis for rock slope stability assessment

2019 ◽  
Vol 67 ◽  
pp. 105-111
Author(s):  
Sharan Kumar Nagendran ◽  
◽  
Mohd Ashraf Mohamad Ismail ◽  
Wen Yan Tung
Keyword(s):  
Slope Stability ◽  
Kinematic Analysis ◽  
Rock Slope ◽  
Rock Slope Stability ◽  
Stability Assessment

scholarly journals The Effect of some discontinuities on rock Slope Failure in Some Selected Sites in Bammo Anticline

2019 ◽  
pp. 1720-1729
Author(s):  
Aya Ali Hameed ◽  
Manal Shakir Alkubaisi
Keyword(s):  
Slope Stability ◽  
Slope Failure ◽  
Rock Slope ◽  
Stereographic Projection ◽  
Slope Angle ◽  
Field Work ◽  
Field Studies ◽  
Stability Assessment ◽  
Rock Slopes ◽  
Factors Affecting

Field studies of the slopes of Bammo anticline, in Northeast of Iraq, was carried out in five selects stations, where rock slopes and the discontinuities were surveyed in these stations and its relationships with failures were determined. The field work was revealed the abundance of rock slope failures, the dominant types are rock fall and toppling.                                                                 Slope stability assessment was carried out by stereographic projection was made using software (GEOrient 9.5.0), the slopes were classified according to (Al-Saadi, 1981), and the rocks were described in engineering terms according to (Anon, 1972) depending on field data. The study also revealed that the factors affecting slope stability in the study area were slope angle, height, dip of strata, and discontinuities. Some remedial measures are suggested for the unstable slopes, and the most important removal of the detached block.

Freeway Slope Stability Evaluation Based on Multi-Level Fuzzy Neural Network

2012 ◽  
Vol 430-432 ◽  
pp. 1700-1703
Author(s):  
Yan Kai Wu ◽  
Xian Song Sang ◽  
Bin Niu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Slope Stability ◽  
Basic Principle ◽  
Fuzzy Neural Network ◽  
Stability Assessment ◽  
High Slope ◽  
Fuzzy Neural ◽  
Multi Level ◽  
Artificial Neural

On the basis of introduced basic principle of fuzzy-artificial neural network, this article constructed a slope stability assessment index system with multi-level fuzzy neural network, and made detailed evaluation criterion according to the assessment characteristics of slope stability. Through introducing the basic principle of multi-level comprehensive assessment from fuzzy mathematics and artificial neural network theory, it overcomes the defect of difficult to be quantified in evaluation process of slope stability. Therefore, it can be better to deal with some uncertain problems occurred in the slope stability assessment process, and as much as possible to express all factors influencing slope stability really and objectively. We selected 20 single factor evaluation indexes to assess slope stability based on surveying the high slope stability in Mian county-Ningqiang county freeway section. It took "normal distribution model function" as a membership function to develop a program with the model of fuzzy neural network. Furthermore, we took 30 typical slope examples as training sample to conduct effectiveness test and feedback test for the program. After the precision requirement was met, we used the program to evaluate 21 high slope examples and compared the results with the ones solved by traditional mechanical methods. The coincidence degree by using two kinds of methods to assess the same slope stability is 76.2%.

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