Random Set Method of Information Fusion under Uncertainty

2006 ◽  
Author(s):  
Dongliang Peng ◽  
Le Zhang ◽  
Chenglin Wen ◽  
Yuesong Lin ◽  
Anke Xue
Keyword(s):  
Information Fusion ◽  
Random Set ◽  
Random Set Method

scholarly journals RS-SNP: a random-set method for genome-wide association studies

BMC Genomics ◽  
2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Annarita D'Addabbo ◽  
Orazio Palmieri ◽  
Anna Latiano ◽  
Vito Annese ◽  
Sayan Mukherjee ◽  
...  
Keyword(s):  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Random Set ◽  
Genome Wide ◽  
Random Set Method

scholarly journals The Setting of Strength Parameters in Stability Analysis of Open-Pit Slope Using the Random Set Method in the Bełchatów Lignite Mine, Central Poland

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4609
Author(s):  
Elżbieta Pilecka ◽  
Jacek Stanisz ◽  
Robert Kaczmarczyk ◽  
Andrzej Gruchot
Keyword(s):  
Sensitivity Analysis ◽  
Stability Analysis ◽  
Residual Strength ◽  
Open Pit ◽  
Random Set ◽  
Strength Parameters ◽  
Lignite Mine ◽  
Parameter Values ◽  
Random Set Method ◽  
Lithological Unit

The slopes of open-pit mines are often at risk of failure. To identify this hazard, stability analyses are performed. An important element of these stability analyses is the reliable selection of input parameter values for the calculations. This selection is difficult because the slopes of the open pit are disturbed by mining activities. In such conditions, rheological processes, intensified by weathering, develop in open-pit slopes. This study is aimed at setting the strength parameters for the stability analysis of open-pit slopes with a developed slide process, using the random set method. The study was performed on the example of the open pit of the Bełchatów lignite mine, central Poland. A four-stage methodology, according to the random set method, was proposed. The methodology covered the following: site investigation, sensitivity analyses, shear strength reduction (SSR) analyses using numerical calculations, and probability analyses of the factor of safety (FoS) calculation results. The setting of the input parameters took into account the peak and residual strength parameters for each lithological unit in the physical model of the open-pit slope. Samples for laboratory tests were taken from the cores of nine test boreholes. The sensitivity analysis included all peak and residual strength parameters for each lithological unit in the body. As a result of the sensitivity analysis, specific strength parameters were adopted that would have a great impact upon the results of the calculations. Selected sets of parameter values were then used for the FoS calculations. The resultant FoS values revealed the probable slide planes. The positions of the slide planes were consistent with the interpreted slide surfaces based on the control boreholes and terrain observations. Knowledge of the slide planes positions and the values of the strength parameters enabled the designing of a securing approach for this landslide, and the taking of preventive measures to reduce this risk.

A framework for the use of reliability methods in deep urban excavations analysis

2021 ◽  
Vol 18 (1) ◽  
pp. 2-14
Author(s):  
Arefeh Arabaninezhad ◽  
Ali Fakher
Keyword(s):  
Reliability Analysis ◽  
Urban Areas ◽  
Design Stage ◽  
Deformation Analysis ◽  
Deep Excavation ◽  
Random Set ◽  
Excavation Process ◽  
Adjacent Structures ◽  
Reliability Methods ◽  
Random Set Method

Deep excavations in urban areas impose deformation to adjacent structures; hence the reliability of deformation analysis for the real deep excavation projects is very important to be assessed. In this study a framework is presented for the use of reliability methods in deformation analysis of deep urban excavations. The suggested framework is applied for 5 real deep excavation projects implemented during last 10 years. All studied cases were recognized as projects of high importance in urban areas, and were monitored during the excavation process. A non-probabilistic reliability analysis procedure, Random set method, in combination with finite element numerical modeling is applied to obtain the probability of unsatisfactory performance for each case. The reliability analysis results are confirmed by field observations and measurements. Typical results for the probability of analytical deformations exceeding the acceptable values along with the site observations and measured displacements for 5 real deep excavation projects show that the reliability analysis could be a beneficial tool for designer. It is concluded that applying the suggested framework in the design stage of deep excavation projects may lead to design more appropriate systems compared to common deterministic design methods.

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