Probability assessment of pit wall stability in jointed rock mass
Notice bibliographique
Résumé
Based on the real data from engineering–geological investigation and laboratory tests, probability assessment of pit wall stability was performed for pit wall at the Kumtor gold ore deposit in the Kyrgyz Republic. The sensitivity analysis was carried out determine influence of random variables on the pit wall stability based on the computational experiment according to the scheme of the central composite plan. The chosen variable factors were the parameters of the Hoek–Brown criteria, the general angle of the pit wall slope and the ground water level in the pit. The computational experiment was implemented out using the test example of pit wall 400 m heigh. According to the sensitivity analysis, the dominant factor is GSI—geological strength index, which describes how heavily rock mass is jointed and is determined by the results of engineering–geological investigation. With regard to the influence on the pitwall stability, the GSI parameter is twice as high as the compressive strength of the undisturbed sample and three times as high as the general slope angle and ground water level. Thus, the distribution law of pitwall FoS is primarily affected by the distribution law of GSI parameter, which, gentically is individual per each pit wall area. For probability assessment of stability, a random variable is selected to be FoS. The reliability of FoS calculation is based on a FLAC program option to perform complex processing of random variables by the Monte Carlo method and to calculate stability of each implemented variant. In total, 100 variants were implementede. The statistical estimation of the mathematical expectation accuracy of FoS was performed by the sample mean FoS based on the determination of confidence intervals with a given reliability γ=0.99. In our case, testing the hypothesis of the normal distribution law for FoS was rejected in favor of the Weibull distribution. The law of distribution of the GSI parameter in each geological zone was different from normal. The calculated probability of failure by the Weibull distribution was Р(FoS<1)=31.7 %. The decision on the stability of the pit wall was made based on the comparison of Р(FoS<1) with the critical probability of pit wall failure Рcrit. We believe that the most acceptable values of Рcrit are withn the range from 5% to 0%. The comparison of Р(FoS<1) with Рcrit, in our case, indicates the need to carry out measures aimed to increase overall stability of the pit wall in the study section. The reli ability of probability assessment of pit wall stability is based on the implementation of the rules and methods of statistical processing and analysis of both source and calculated data on the specialized program Statistica.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».