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The use of the direct optimized probabilistic calculation method in design of bolt reinforcement for underground and mining workings.

Krejsa M, Janas P, Yilmaz I, Marschalko M, Bouchal T - ScientificWorldJournal (2013)

Bottom Line: This provides more accurate solutions to probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations.DOProC can be used to solve efficiently a number of probabilistic computations.For the purposes above, a special software application-"Anchor"-has been developed.

View Article: PubMed Central - PubMed

Affiliation: Department of Structural Mechanics, Faculty of Civil Engineering, VŠB-Technical University of Ostrava, Ostrava, Czech Republic.

ABSTRACT
The load-carrying system of each construction should fulfill several conditions which represent reliable criteria in the assessment procedure. It is the theory of structural reliability which determines probability of keeping required properties of constructions. Using this theory, it is possible to apply probabilistic computations based on the probability theory and mathematic statistics. Development of those methods has become more and more popular; it is used, in particular, in designs of load-carrying structures with the required level or reliability when at least some input variables in the design are random. The objective of this paper is to indicate the current scope which might be covered by the new method-Direct Optimized Probabilistic Calculation (DOProC) in assessments of reliability of load-carrying structures. DOProC uses a purely numerical approach without any simulation techniques. This provides more accurate solutions to probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations. DOProC can be used to solve efficiently a number of probabilistic computations. A very good sphere of application for DOProC is the assessment of the bolt reinforcement in the underground and mining workings. For the purposes above, a special software application-"Anchor"-has been developed.

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Related in: MedlinePlus

Histogram with parametric distribution of probabilities for compression strength in carboniferous sandstone [MPa].
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Related In: Results  -  Collection


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fig6: Histogram with parametric distribution of probabilities for compression strength in carboniferous sandstone [MPa].

Mentions: Figure 4 shows the Anchor desktop with input parameters for the sample calculation. Using this software application, the measured data can be processed to create histograms and derive parameters. The best distribution is chosen from among of dozens of known parametric distributions on the basis of a coefficient that is referred to as a tightness coefficient. Figure 5 shows the histogram of primary data prepared on the basis of 102 measurement data when the compression strength was measured in carboniferous sandstone. The horizontal axis shows the compression strength in MPa, while the vertical axis shows the probability of occurrence. The number of classes is equal to the number of primary data. Figure 6 shows the assessment made by means of a histogram for parametric distribution of Gamma probability with the higher proximity coefficients. Such distribution is most creditworthy, from the point of view of statistics. If another type of parametric distribution or another number of classes is chosen, which is possible, the proximity coefficient will be smaller.


The use of the direct optimized probabilistic calculation method in design of bolt reinforcement for underground and mining workings.

Krejsa M, Janas P, Yilmaz I, Marschalko M, Bouchal T - ScientificWorldJournal (2013)

Histogram with parametric distribution of probabilities for compression strength in carboniferous sandstone [MPa].
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3713651&req=5

fig6: Histogram with parametric distribution of probabilities for compression strength in carboniferous sandstone [MPa].
Mentions: Figure 4 shows the Anchor desktop with input parameters for the sample calculation. Using this software application, the measured data can be processed to create histograms and derive parameters. The best distribution is chosen from among of dozens of known parametric distributions on the basis of a coefficient that is referred to as a tightness coefficient. Figure 5 shows the histogram of primary data prepared on the basis of 102 measurement data when the compression strength was measured in carboniferous sandstone. The horizontal axis shows the compression strength in MPa, while the vertical axis shows the probability of occurrence. The number of classes is equal to the number of primary data. Figure 6 shows the assessment made by means of a histogram for parametric distribution of Gamma probability with the higher proximity coefficients. Such distribution is most creditworthy, from the point of view of statistics. If another type of parametric distribution or another number of classes is chosen, which is possible, the proximity coefficient will be smaller.

Bottom Line: This provides more accurate solutions to probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations.DOProC can be used to solve efficiently a number of probabilistic computations.For the purposes above, a special software application-"Anchor"-has been developed.

View Article: PubMed Central - PubMed

Affiliation: Department of Structural Mechanics, Faculty of Civil Engineering, VŠB-Technical University of Ostrava, Ostrava, Czech Republic.

ABSTRACT
The load-carrying system of each construction should fulfill several conditions which represent reliable criteria in the assessment procedure. It is the theory of structural reliability which determines probability of keeping required properties of constructions. Using this theory, it is possible to apply probabilistic computations based on the probability theory and mathematic statistics. Development of those methods has become more and more popular; it is used, in particular, in designs of load-carrying structures with the required level or reliability when at least some input variables in the design are random. The objective of this paper is to indicate the current scope which might be covered by the new method-Direct Optimized Probabilistic Calculation (DOProC) in assessments of reliability of load-carrying structures. DOProC uses a purely numerical approach without any simulation techniques. This provides more accurate solutions to probabilistic tasks, and, in some cases, such approach results in considerably faster completion of computations. DOProC can be used to solve efficiently a number of probabilistic computations. A very good sphere of application for DOProC is the assessment of the bolt reinforcement in the underground and mining workings. For the purposes above, a special software application-"Anchor"-has been developed.

Show MeSH
Related in: MedlinePlus