scholarly journals Attribute recognition model and its application of risk assessment for slope stability at tunnel portal

2017 ◽  
Vol 19 (4) ◽  
pp. 2726-2738 ◽  
Author(s):  
Jing-chun Wang ◽  
Qian Zhang ◽  
Hai-xia Zhang
Keyword(s):  
Risk Assessment ◽  
Slope Stability ◽  
Recognition Model ◽  
Attribute Recognition ◽  
Tunnel Portal

Attribute recognition model for risk assessment of water inrush

2017 ◽  
Vol 78 (2) ◽  
pp. 1057-1071 ◽  
Author(s):  
Jing Wang ◽  
Shu-cai Li ◽  
Li-ping Li ◽  
Peng Lin ◽  
Zhen-hao Xu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Water Inrush ◽  
Recognition Model ◽  
Attribute Recognition

Slope Stability Evaluation Based on Projection Pursuit and Attribute Mathematics

2012 ◽  
Vol 170-173 ◽  
pp. 868-871 ◽  
Author(s):  
Fei Xu ◽  
Ke Wang
Keyword(s):  
Slope Stability ◽  
Mathematical Theory ◽  
Comprehensive Evaluation ◽  
Projection Pursuit ◽  
Stability Evaluation ◽  
Swarm Optimization ◽  
Recognition Model ◽  
Evaluation Problem ◽  
Attribute Recognition

Evaluation of slope stability is a complex system problem of uncertainty. A new model for slope stability evaluation was established based on the Attribute Recognition Model (ARM) and the Projection Pursuit (PP) optimized by the Particle Swarm Optimization (PSO), which was named as Attribute Recognition Model based on Projection Pursuit Weight (ARM-PP). The attribute measurement of single index was computed through constructing the attribute measurement functions, and the synthetic attribute measurement was calculated by the weight of PP optimized by PSO. Confidence criterion was used to recognize the slope stability. The attribute mathematical theory could successfully resolve the comprehensive evaluation problem with a number of fuzzy attribute. Furthermore, ARM-PP adopted the PP to determine weight, avoiding the subjectivity and randomicity, and ensuring objectivity and accuracy of the evaluation. Case study showed that ARM-PP was feasible and precise in slope stability evaluation.

Attribute Recognition Model Based on Entropy Weight and Its Application to Evaluation of Groundwater Quality

2010 ◽  
Vol 29-32 ◽  
pp. 2698-2702
Author(s):  
Xian Qi Zhang ◽  
Wen Hong Feng ◽  
Nan Nan Li
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Information Entropy ◽  
Simple Calculation ◽  
Weight Coefficient ◽  
Entropy Theory ◽  
Entropy Weight ◽  
Recognition Model ◽  
Model Based ◽  
Attribute Recognition

It is necessary to take into account synthetically attribute of every index because of independence and incompatibility resulted from single index evaluating outcomes. Through the information entropy theory and attribute recognition model being combined together, attribute recognition model based on entropy weight is constructed and applied to evaluating groundwater quality by a new method, weight coefficient by the law of entropy value is exercised so that it is more objective. The outcome from concrete application indicates that it is suitable to evaluate water quality with reasonable conclusion and simple calculation.

scholarly journals Risk assessment of designated landslide-risky valleys against heavy rainfall based on geotechnical investigation and slope stability analysis

2013 ◽  
Vol 8 (1) ◽  
pp. 119-131 ◽  
Author(s):  
Shoichi KAWABATA ◽  
Takashi TSUCHIDA ◽  
Seiji KANO ◽  
Hiroki YURI ◽  
Takashi HANAOKA ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Stability Analysis ◽  
Slope Stability ◽  
Heavy Rainfall ◽  
Slope Stability Analysis ◽  
Geotechnical Investigation

scholarly journals NUMERICAL EVALUATION OF TUNNEL PORTAL SLOPE STABILITY AT BAGONG DAM SITE, EAST JAVA, INDONESIA

2020 ◽  
Vol 5 (1) ◽  
pp. 40
Author(s):  
Irien Akinina Fatkhiandari ◽  
I Gde Budi Indrawan, Dr.
Keyword(s):  
Slope Stability ◽  
Research Area ◽  
Poor Quality ◽  
Geological Mapping ◽  
Residual Soil ◽  
Volcanic Breccia ◽  
Earthquake Load ◽  
Dam Site ◽  
Tunnel Portal

Geometries of excavated tunnel portal slopes at Bagong Dam site was initially designed without taking into account earthquake load. The excavated slope designs also assumed the rocks consisting the slopes were homogenous. The purpose of this research was to evaluate stability of the excavated tunnel inlet and outlet slopes at the Bagong Dam site under static and earthquake loads using finite element method. Stability of the natural slopes was also analyzed for comparison. The numerical static and pseudostatic analyses of slope stability were carried out using RS2 software (Rocscience, Inc.). Input data used in the numerical analyses were obtained from engineering geological mapping, rock core analyses, and laboratory tests. Seismic coefficient applied in the pseudostatic slope stability analyses was determined following guideline described in Indonesian National Standard. The engineering geological mapping and evaluation of rock cores indicated that the inlet tunnel slope consisted of four types of materials, namely residual soil, poor quality of volcanic breccia, very poor quality of volcanic breccia, and good quality of volcanic breccia. The outlet portal slope consisted of six types of materials, namely residual soil, very poor quality of limestone, poor quality of limestone, very poor quality of volcanic breccia, poor quality breccia, and good quality breccia. Based on the secondary elastic wave velocity (Vs) values, the rock masses in the research area were classified as hard rock (SA). Seismic analyses based on the earthquake hazard source map with 10% probability of exceedance in 50 years provided by the National Earthquake Center (2017) indicated that the PGA and the corresponding amplification factor FPGA in the research area were 0.3 and 0.8, respectively. The calculated seismic coefficient for the pseudostatic slope stability analyses was 0.12. The numerical analysis results showed that, in general, earthquake load reduced critical Strength Reduction Factor (SRF) values of the slopes. However, the natural and excavated tunnel portal slopes were relatively stable under static and earthquake loads. The natural slope at the tunnel inlet with a 40° inclination had critical SRF value of 4.0, while that of at the tunnel outlet with a 51° inclination had critical SRF value of 2.6. Under static load, the excavated slopes at the tunnel inlet and outlet having a 45° inclination had critical SRF values of 2.4 and 5.0, respectively. Under earthquake load, the excavated slopes at the tunnel inlet and outlet had critical SRF values of 2.3 and 3.5, respectively.

The Application of Entropy Weight of Attribute Recognition Model in Reservoir Eutrophication Evaluation

2013 ◽  
Vol 477-478 ◽  
pp. 870-873
Author(s):  
Du Wu ◽  
De Shan Tang ◽  
Xing Wang Lu ◽  
Wen Zhong Yu
Keyword(s):  
Weight Distribution ◽  
Guangdong Province ◽  
Element Model ◽  
Recognition Method ◽  
Entropy Weight ◽  
Recognition Model ◽  
Calculation Results ◽  
Attribute Recognition ◽  
Matter Element Model

Subjective factors could affect the weight distribution of each index in evaluation of reservoir eutrophication, so the example used entropy to deal with the weight distribution of each index. Combined attributes recognition method, the writer selected six indicators to build the entropy weight of attribute recognition model about reservoir eutrophication of ten large reservoirs in Guangdong Province. By comparing the calculated results with the results of matter-element model, the calculation results were basically consistent. So entropy weight of attribute recognition model is applicable to the evaluation of the reservoir eutrophication and it can ensure the fairness and reasonableness of weight distribution.

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