Quantitative characterization of joint roughness based on semivariogram parameters

Zhao, Lianheng; Zhang, Shuaihao; Huang, Dongliang; Zuo, Shi; Li, Dejian

doi:10.1016/j.ijrmms.2018.06.008

Cited by 36 publications

(7 citation statements)

References 14 publications

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“…The empirical semivariogram presents three parameters of interest (see Figure 3 obtained from Lianheng et al, 2018). The height of the semivariogram jump at the origin is the Nugget (C0), the limit of the semivariogram tending to infinite lag distances is the Sill (C0 + C), and the distance at which the difference of the semivariogram with respect to the sill becomes negligible is the Range (a).…”

Section: Semivariogrammentioning

confidence: 99%

A model of spatial location: New data for the Gor River megalithic landscape (Spain) from LiDAR technology and field survey

González

Almonacid

Esquivel

et al. 2022

Archaeological Prospection

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The megalithic cluster of the Gor River valley (Andalusia, Spain) is one of the biggest dolmenic groups in Europe, made up of 151 preserved megaliths. In spite of this high number of known monuments, increasing loss and destruction of many of the graves has taken place during the last decades due to enormous soil erosion and anthropogenic activities. With the aim of recording the location of these lost megaliths, Digital Terrain Models and LiDAR data have been used to analyse the terrain showing a high quantity of structures that seem similar to those actually documented in the zone but that were not noticed until now. These possible new burial mounds have been tested by archaeological surface survey, choosing three contrasting areas as samples.Results have shown a high success rate for this methodology, even allowing the discovery of new megalithic graves in heavily researched areas. We interpret the likely higher number of burial mounds in the area to indicate greater territorial control in boundary areas between 4th and 3rd millennium BC.

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Section: Semivariogrammentioning

confidence: 99%

A model of spatial location: New data for the Gor River megalithic landscape (Spain) from LiDAR technology and field survey

González

Almonacid

Esquivel

et al. 2022

Archaeological Prospection

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“…Where 𝐶 represent Partial Sill and 𝐶 0 represent Nugget are undetermined coefficients, where interval ℎ is an independent variable , 𝑎 represent range [21]. The model that will be selected from the three models is the model that has the smallest root mean squared error level.…”

Section: Semivariogram Model Selectionmentioning

confidence: 99%

Land Price Classification Map in Jakarta Using Random Forest and Ordinary Kriging

Chandrasa

Prasetyowati

Sibaroni

2022

bits

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This research provides information about land prices in Jakarta by classifying using the Random Forest method. Where Random Forest is a data mining technique that is usually used to perform classification and regression. Random Forest is one of the best classification methods. It is found that classification accuracy will increase dramatically as a result of voting to select class types and ensemble tree growth. The method helps in providing information about the classification of land prices with the class of land prices per meter less than IDR 15 million, land prices per meter with a price range of IDR 15 to 25 million and land prices per meter more than IDR 25 million. With a fairly good accuracy of 82%, this method can classify where the permeter land price data that is tested will match the predicted classification accurately. Classification is performed on unbalanced data which is then oversampled using the ADASYN method. Assisted by doing spatial interpolation with the Ordinary Kriging method using Semivariogram, information about the classification of land prices can be seen on the distribution of the Jakarta area map. Ordinary Kriging can predict the estimated price per meter of land around the area of land that has a known price. The Root Mean Square Error (RMSE) results of the best Semivariogram model are obtained from the lowest RMSE value, namely the Spherical model with a value of 1.014896e7. The contribution of this research is to provide information about a reliable classification method, namely Random Forest and Ordinary Kriging performance as a spatial analysis method that can predict land prices per meter at unknown points so as to provide information about the distribution of land prices in Jakarta with each price class.

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“…The variety of describing the roughness of a surface offers even more possibilities: Semi-Variograms (e.g., Lianheng et al 2018;Babadagli and Develi 2003), power-spectral density (e.g., Babadagli and Develi 2003;Kanafi and Tuononen 2017) or wavelet decomposition (e.g., Mehrishal and Sharifzadeh 2013;Li et al 2019) are among them. Magsipoc et al (2020) and Gadelmawla et al (2002) provide an overview about surface roughness models.…”

Section: State Of the Art: (Semi-) Analytical Solutionsmentioning

confidence: 99%

Simulation of direct shear tests using a forces on fracture surfaces (FFS) approach

2021

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The aim of this work is to provide a complete data set of direct shear tests and to propose a corresponding simulation approach. Tests have been conducted on crystalline rock samples applying constant normal load (CNL) and constant normal stiffness (CNS) boundary conditions. A physical consistent algorithm which explicitly calculates the forces acting on the fracture surface (FFS) has been developed. This FFS approach can explain the occurrence of surface degradation and shows the main shear characteristics. After all, shearing of rough rock joints remains a complex process and the differences between laboratory and simulation results are still significant in some cases. All data and input files are provided free for download and testing.

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Quantitative characterization of joint roughness based on semivariogram parameters

Cited by 36 publications

References 14 publications

A model of spatial location: New data for the Gor River megalithic landscape (Spain) from LiDAR technology and field survey

A model of spatial location: New data for the Gor River megalithic landscape (Spain) from LiDAR technology and field survey

Land Price Classification Map in Jakarta Using Random Forest and Ordinary Kriging

Simulation of direct shear tests using a forces on fracture surfaces (FFS) approach

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