Risk Assessment of Unstable Rock Masses on High-Steep Slopes: An Attribute Recognition Model

2021 ◽  
Author(s):  
Y. Tao ◽  
Y. Xue ◽  
Q. Zhang ◽  
W. Yang ◽  
B. Li ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Rock Masses ◽  
Recognition Model ◽  
Attribute Recognition ◽  
Steep Slopes ◽  
Unstable Rock

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

Analysis of Unstable Rock-Mass Stability Based on Limit Equilibrium Method and Strength Reduction Method

2016 ◽  
Vol 858 ◽  
pp. 73-80
Author(s):  
Ying Kong ◽  
Hua Peng Shi ◽  
Hong Ming Yu
Keyword(s):  
Rock Mass ◽  
Failure Mode ◽  
Posterior Margin ◽  
Reduction Method ◽  
Limit Equilibrium ◽  
Limit Equilibrium Method ◽  
Strength Reduction ◽  
Strength Reduction Method ◽  
Rock Masses ◽  
Unstable Rock

With the slope unstable rock masses of a stope in Longsi mine, Jiaozuo City, China as the target, we computed and analyzed the stability of unstable rock masses using a limit equilibrium method (LEM) and a discrete element strength reduction method (SRM). Results show that the unstable rock masses are currently stable. Under the external actions of natural weathering, rainfall and earthquake, unstable rock mass 1 was manifested as a shear slip failure mode, and its stability was controlled jointly by bedding-plane and posterior-margin steep inclined joints. In comparison, unstable rock mass 2 was manifested as a tensile-crack toppling failure mode, and its stability was controlled by the perforation of posterior-margin joints. From the results of the 2 methods we find the safety factor determined from SRM is larger, but not significantly, than that from LEM, and SRM can simulate the progressive failure process of unstable rock masses. SRM also provides information about forces and deformation (e.g. stress-strain, and displacement) and more efficiently visualizes the parts at the slope that are susceptible to instability, suggesting SRM can be used as a supplementation of LEM.

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.

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.

Study on Stability of Unstable Rock Masses on Right Bank Slope of JinPing I Stage Hydropower Station, Southwestern China

2011 ◽  
Vol 243-249 ◽  
pp. 3036-3042 ◽  
Author(s):  
Da Huang ◽  
Yong Xing Zhang ◽  
Run Qiu Huang
Keyword(s):  
Failure Mode ◽  
Calculation Method ◽  
Limit Equilibrium ◽  
Rock Block ◽  
Southwestern China ◽  
Hydropower Station ◽  
Rock Masses ◽  
Limit Equilibrium Theory ◽  
Earthquake Force ◽  
Unstable Rock

A lot of investigations showed that unstable rock masses (URM) could be classified into four failure modes：whole slide，rock block landslide，whole shear fall，and compress-rip-slide. Unloading cracks forming URM failure boundary don¢t store water usually，so the main loads to cause URM failure in dam region are weight and earthquake force. According to limit equilibrium theory, Authors put forward different calculation method of stability and criterion of stability state class to different failure mode. The corresponding treatments and cure to URM of different scale and stability state are presented, too.

Comprehensive assessment of seawater quality based on an improved attribute recognition model

2006 ◽  
Vol 5 (4) ◽  
pp. 300-304 ◽  
Author(s):  
Libing Zhang ◽  
Jilin Cheng ◽  
Juliang Jin ◽  
Xiaohong Jiang
Keyword(s):  
Comprehensive Assessment ◽  
Recognition Model ◽  
Seawater Quality ◽  
Attribute Recognition
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