scholarly journals Grey Relational Analysis on Influencing Factors of Highway Slope Safety in Ankang Mountain Area

2020 ◽  
Vol 10 (5) ◽  
pp. 721-726
Author(s):  
Yiyun Yang
Keyword(s):  
Internal Friction ◽  
Bulk Density ◽  
Influencing Factors ◽  
Grey Relational Analysis ◽  
Crack Depth ◽  
Slope Angle ◽  
Friction Angle ◽  
Relational Analysis ◽  
The Stability ◽  
Grey Relational

In recent years, Ankang has witnessed frequent occurrence of collapses and other instability phenomena, which brought huge losses to urban and rural transportation, and agricultural production. Therefore, it is very important to research and analyze the stability of highway slopes in this area. This paper systematically explores the factors that affect slope safety, namely, slope height, slope angle, cohesive force, bulk density, internal friction angle, and crack depth, through grey relational analysis (GRA), using engineering analysis software and MATLAB. The stability of the high slope was further evaluated through sensitivity analysis. The results show that cohesive force and internal friction angle are the leading factors affecting slope stability, followed by crack depth, while slope angle, bulk density and slope height are not major influencing factors. The research results provide the basis for the protection and design of similar slopes in Ankang prefecture.

scholarly journals Stability sensitivity for a cable-based coal–gangue picking robot based on grey relational analysis

2021 ◽  
Vol 18 (6) ◽  
pp. 172988142110597
Author(s):  
Peng Liu ◽  
Xinzhou Qiao ◽  
Xuhui Zhang
Keyword(s):  
Sensitivity Analysis ◽  
Influencing Factors ◽  
Grey Relational Analysis ◽  
Coal Gangue ◽  
Analysis Model ◽  
Cable Tension ◽  
Stability Measure ◽  
Relational Analysis ◽  
The Stability ◽  
Grey Relational

This article aims to establish the relationship between the position and cable tension influencing factors and the stability, and propose a method for quantitative stability sensitivity assessment for a cable-based coal–gangue picking robot. Firstly, a structural stability measure approach is proposed for the cable-based coal–gangue picking robot. Secondly, a stability sensitivity analysis model is developed to investigate the stability sensitivity on the selected influencing factors based on the grey relational degree, where the influencing degree of each factor on the stability for the cable-based coal–gangue picking robot is explored with grey relational analysis. At last, a numerical study is carried out to demonstrate the stability measure approach and stability sensitivity analysis model for the cable-based coal–gangue picking robot was scientific and reasonable, where the end-grab position set which the robot can meet the predetermined stability requirements is obtained. And meanwhile, the correlation of each influencing factor on the stability for the robot is calculated. And the stability sensitivity simulation results show that (1) the correlation of the seven influencing factors on the stability are, in a descending order, cable tension T 2 > cable tension T 4 > cable tension T 3 > cable tension T 1 > z-direction displacement of the end-grab > x-direction displacement > y-direction displacement; (2) among the influencing factors, the cable tensions have greater influence on the stability of coal–gangue picking robot, and it is followed by the z-direction displacement of the end-grab, while y-direction displacement is found to have the minimal influence. This article provides a guiding direction for robust design of the sorting trajectory planning and control of the coal–gangue picking robots.

Evaluating the Influence of Mix Proportion Parameters on Anti-Permeability of Green High Performance Concrete with Grey Relational Analysis

2011 ◽  
Vol 250-253 ◽  
pp. 857-860
Author(s):  
Qiao Yan Guan ◽  
Peng Zhang
Keyword(s):  
Influencing Factors ◽  
Grey Relational Analysis ◽  
High Performance ◽  
High Performance Concrete ◽  
Factors Affecting ◽  
Relational Analysis ◽  
Mix Proportion ◽  
Binder Ratio ◽  
Grey Relational ◽  
Water Binder Ratio

The aim of this study was to evaluate the influence of mix proportion parameters on anti-permeability of green high performance concrete (GHPC) and find out the main influencing factors. Applying grey relational analysis method, the relational grades between the influencing factors and diffusion coefficient of Cl- of GHPC were calculated. Besides, the sequence result of influencing degree of the factors to affect the anti-permeability was obtained. The result shows that the importance of the factors affecting anti-permeability of GHPC has following sequence: water-binder ratio> sand ratio > dosage of cement> dosage of water reducing admixture > dosage of mineral fillers > dosage of fly ash. In order to improve anti-permeability of GHPC, water-binder ratio and sand ratio must be controlled strictly.

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