Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9592
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Main Title: Rock Surface Roughness Determination: Matlab scripts of evaluation algorithms and original scanned surfaces
Author(s): Marsch, Kristofer
Type: Generic Research Data
Language Code: en
Abstract: There exist many mathematical approaches for the determination of surface roughness in the context of rock engineering. Unfortunately, in most publications on that topic the evaluation algorithms are not fully disclosed. This makes it almost impossible to reproduce and verify prior findings. Even achieving an acceptable accordance is labour-intensive. Therefore, this data submission offers some statistical and fractal algorithms readily implemented as Matlab scripts for further use. This enables interested parties to fully retrace the findings of the study. Additionally, all six surface scans used in the study are also available here, accompanied by the ready-for-use over 40,000 profile traces from them.
URI: https://depositonce.tu-berlin.de/handle/11303/10692
http://dx.doi.org/10.14279/depositonce-9592
Issue Date: 1-Feb-2020
Date Available: 4-Feb-2020
DDC Class: 550 Geowissenschaften
629 Andere Fachrichtungen der Ingenieurwissenschaften
Subject(s): compass walking
FFT
spectral analysis
RMS correlation
box counting
Z2
statistical roughness parameter
fractal roughness parameter
shear strength
JRC
joint roughness coefficient
Barton-criterion
License: https://creativecommons.org/licenses/by/4.0/
Notes: This data is supplementary material for a study submitted to "Rock Mechanics Rock Engineering" journal under the title “Comparative evaluation of statistical and fractal approaches for JRC calculation based on a large dataset of natural rock traces” (Marsch K, Fernandez-Steeger TM 2020).
Appears in Collections:FG Ingenieurgeologie » Research Data

Files in This Item:
README.md
Format: Markdown | Size: 915 B
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sample_B.ply

surface representation of a basalt tension fracture

Format: Unknown | Size: 70.04 MB
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sample_B_profiles.mat

all profiles ready-for-use from sample B

Format: Unknown | Size: 7.23 MB
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sample_G.ply

surface representation of a granite tension fracture

Format: Unknown | Size: 61.3 MB
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sample_G_profiles.mat

all profiles ready-for-use from sample G

Format: Unknown | Size: 5.67 MB
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sample_K.ply

surface representation of a limestone tension fracture

Format: Unknown | Size: 88.31 MB
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sample_K_profiles.mat

all profiles ready-for-use from sample K

Format: Unknown | Size: 6.64 MB
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sample_SF.ply

surface representation of a schist tension fracture

Format: Unknown | Size: 70.03 MB
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sample_SF_profiles.mat

all profiles ready-for-use from sample SF

Format: Unknown | Size: 5.85 MB
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sample_SI.ply

surface representation of a fine-grained sandstone tension fracture

Format: Unknown | Size: 72.96 MB
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sample_SI_profiles.mat

all profiles ready-for-use from sample SI

Format: Unknown | Size: 5.58 MB
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sample_SS.ply

surface representation of a medium-grained sandstone tension fracture

Format: Unknown | Size: 67.04 MB
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sample_SS_profiles.mat

all profiles ready-for-use from sample SS

Format: Unknown | Size: 5.66 MB
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detrendint.m

Matlab script - detrending profile

Format: Unknown | Size: 1.03 kB
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frac_comp.m

Matlab script - calculate fractal compass dimension

Format: Unknown | Size: 3.01 kB
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frac_fft.m

Matlab script - calculate Hurst exponent and asperity measure using power spectral density

Format: Unknown | Size: 1.39 kB
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frac_modbox.m

Matlab script - calculate fractal box dimension

Format: Unknown | Size: 2.6 kB
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frac_rmscor.m

Matlab script - calculate Hurst exponent and asperity measure using RMS-correlation

Format: Unknown | Size: 1.62 kB
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stat_Rp_delta.m

Matlab script - calculate statistical roughness profile index

Format: Unknown | Size: 841 B
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stat_Rz_lambda.m

Matlab script - calculate statistical ultimate slope of a profile

Format: Unknown | Size: 822 B
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stat_Sdi.m

Matlab script - calculate statistical standard deviation of the slope angles of each sampling step

Format: Unknown | Size: 720 B
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stat_SF.m

Matlab script - calculate statistical structure function

Format: Unknown | Size: 699 B
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stat_Z2.m

Matlab script - calculate statistical textural slope parameter (RMS of the average local slope)

Format: Unknown | Size: 856 B
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stat_Z2.m

Matlab script - calculate statistical textural slope parameter (RMS of the average local slope)

Format: Unknown | Size: 856 B
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