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🆕 Date Issued:
2020-02-01
🗄 In DepositOnce:2020-02-04
Generic Research Data

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Rock Surface Roughness Determination: Matlab scripts of evaluation algorithms and original scanned surfaces

Marsch, Kristofer

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.
compass walkingFFTspectral analysisRMS correlationbox countingZ2statistical roughness parameterfractal roughness parametershear strengthJRCjoint roughness coefficientBarton-criterion
README.md
Markdown — 915 B

sample_B.ply
Unknown — 68.4 MB

surface representation of a basalt tension fracture

sample_B_profiles.mat
Unknown — 7.06 MB

all profiles ready-for-use from sample B

sample_G.ply
Unknown — 59.86 MB

surface representation of a granite tension fracture

sample_G_profiles.mat
Unknown — 5.54 MB

all profiles ready-for-use from sample G

sample_K.ply
Unknown — 86.24 MB

surface representation of a limestone tension fracture

sample_K_profiles.mat
Unknown — 6.49 MB

all profiles ready-for-use from sample K

sample_SF.ply
Unknown — 68.39 MB

surface representation of a schist tension fracture

sample_SF_profiles.mat
Unknown — 5.71 MB

all profiles ready-for-use from sample SF

sample_SI.ply
Unknown — 71.25 MB

surface representation of a fine-grained sandstone tension fracture

sample_SI_profiles.mat
Unknown — 5.44 MB

all profiles ready-for-use from sample SI

sample_SS.ply
Unknown — 65.47 MB

surface representation of a medium-grained sandstone tension fracture

sample_SS_profiles.mat
Unknown — 5.53 MB

all profiles ready-for-use from sample SS

detrendint.m
Unknown — 1.03 KB

Matlab script - detrending profile

frac_comp.m
Unknown — 3.01 KB

Matlab script - calculate fractal compass dimension

frac_fft.m
Unknown — 1.39 KB

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

frac_modbox.m
Unknown — 2.6 KB

Matlab script - calculate fractal box dimension

frac_rmscor.m
Unknown — 1.62 KB

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

stat_Rp_delta.m
Unknown — 841 B

Matlab script - calculate statistical roughness profile index

stat_Rz_lambda.m
Unknown — 822 B

Matlab script - calculate statistical ultimate slope of a profile

stat_Sdi.m
Unknown — 720 B

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

stat_SF.m
Unknown — 699 B

Matlab script - calculate statistical structure function

stat_Z2.m
Unknown — 856 B

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

stat_Z2.m
Unknown — 856 B

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

Is Supplement To
10.1007/s00603-020-02348-0
  • 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).
Creative Commons Attribution 4.0 (CC BY)Creative Commons Attribution 4.0 (CC BY)

Version History

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VersionDateSummary
3
 2021-02-04 15:13:27
Due to publication of the related paper: licence adjustments, improved commenting of the m-files, editing of the ply-files
1
 2020-02-04 12:20:15