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Statistical analysis of mechanical properties on the example of aggregates of Carpathian sandstones Cover

Statistical analysis of mechanical properties on the example of aggregates of Carpathian sandstones

Open Access
|Sep 2020

Figures & Tables

Figure 1

A simplified geological and structural map of the Polish Carpathians [5, 16, 23, 30].

Table 1

Physico-mechanical properties of sandstones [12].

Rock typeBulk density [Mg/m3]Absorbability [%]Dry condition compressive strength [MPa]Compressive strength after water absorption [MPa]
min–maxon averagemin–maxon averagemin–maxon averagemin–maxon average
Krosno sandstone2.31–2.712.640.25–3.701.5057–17812240–15389
Magura sandstone2.50–2.692.620.30–2.471.1291–20716459–194125
Cergos sandstone2.48–2.772.630.52–2.941.33115–20717094–173134
Figure 2

Los Angeles drum.

Figure 3

Sample before (a) and after (b) fragmentation test.

Figure 4

Micro-Deval drum.

Figure 5

Sample before (a) and after (b) abrasion test.

Figure 6

Histogram of beta distribution of resistance to fragmentation and abrasion: (a) Magura sandstone, (b) Cergos sandstone, (c) Krosno sandstone and (d) overall.

Table 2

Statistical values of LA and MDE coefficients for Carpathian sandstone aggregates.

ValueLA coefficientMDE coefficient
OverallMagura sandstoneCergos sandstoneKrosno sandstoneOverallMagura sandstoneCergos sandstoneKrosno sandstone
Average26.6924.5423.6741.3240.1535.5337.3662.95
Minimum14.0014.0020.0024.3020.0020.0030.0035.20
Maximum56.0037.1028.6056.0084.2058.5047.0084.20
Standard deviation8.476.382.839.0813.9711.394.6715.15
Median24.3023.3523.1041.0038.1035.1537.4066.00
Coefficient of variation31.7626.0111.9621.9934.8032.0412.5024.07
Figure 7

Function fitting for Magura sandstone: (a) linear, (b) exponential and (c) logarithmic.

Figure 8

Function fitting for Cergos sandstone: (a) linear, (b) exponential and (c) logarithmic.

Figure 9

Function fitting for Krosno sandstone: (a) linear, (b) exponential and (c) logarithmic.

Figure 10

Function fitting for all tested sandstones: (a) linear, (b) exponential and (c) logarithmic.

Figure 11

Regression analysis results: (a) linear, (b) exponential and (c) logarithmic.

Figure 12

Residuals for all tested sandstones: (a) linear, (b) exponential and (c) logarithmic.

Table 3

Regression statistics.

CoefficientsR squareStandard errort Statp-valueLower 95%Upper 95%
Linear function
Intersection0.4800,81292.1390.2240.822−3.7734.733
LA1.4860.07619.4442.02E-331.3341.638
Exponential function
Intersection6.6340,74262.2462.9520.0042.16811.099
exp^(0.034*LA)12.9040.81415.8452.24E-2711.28514.522
Logarithmic function
Intersection−103.3380,81617.330−14.0973.49E-24−117.908−88.768
ln(LA)44.2652.25219.6499.59E-3439.78848.743
DOI: https://doi.org/10.2478/sgem-2020-0003 | Journal eISSN: 2083-831X (formerly 0137-124X) | Journal ISSN: 0137-6365
Language: English
Page range: 366 - 375
Submitted on: Feb 28, 2020
Accepted on: Aug 17, 2020
Published on: Sep 24, 2020
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services

© 2020 Joanna Hydzik-Wiśniewska, Łukasz Bednarek, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.