An Empirical Correlation of Uniaxial Compressive Strength with P-wave Velocity and Point Load Strength Index on Marly Rocks Using Statistical Method

Azimian, Abdolazim; Ajalloeian, Rassoul; Fatehi, Leila

doi:10.1007/s10706-013-9703-x

Cited by 78 publications

(37 citation statements)

References 51 publications

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“…3. The applicability of updated correlations for new external data is also presented in a and b implemented correlations [7,8,16,20,24,28] as well as direct regression analysis is shown in Fig. 5e, f. Moreover, the applicability of the updated correlations was examined using other data [5,24,41] which was not employed in the updating process (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…The provided database for this study was compiled from published papers [7,8,16,20,28] as well as other validated relevant sources [1,44]. The database includes a total of 119 datasets of mechanical and geotechnical tests of marlstones comprising the Is, V P , c, n, w as well as UCS and E. However, in this paper only the UCS, Is and V P have been used.…”

Section: Properties Of Provided Databasementioning

confidence: 99%

“…[9,12,15,18,19,23,24,29]) but these tests have widely been used by many researchers to indirectly predict the UCS [8]. The measured strength in the Is test is a function of the platen load at failure [14], whereas in V P the rock mechanical parameters can be determined using simpler nondestructive tests without changing the internal structure of the samples at relatively low costs respected to static tests.…”

Section: Updating Processmentioning

confidence: 99%

“…Despite of vast distribution of marlstones in Iran, only a few limited and localized studies have been carried out [8,16,20,28]. Moreover, several damages in engineering projects related to these weak rocks have been reported [7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

Shahri

Larsson

Johansson

2016

Innov. Infrastruct. Solut.

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Although there are many proposed relations for different rock types to predict the uniaxial compressive strength (UCS) as a function of P-wave velocity (V P ) and point load index (Is), only a few of them are focused on marlstones. However, these studies have limitations in applicability since they are mainly based on local studies. In this paper, an attempt is therefore made to present updated relations for two previous proposed correlations for marlstones in Iran. The modification process is executed through multivariate regression analysis techniques using a provided comprehensive database for marlstones in Iran, including UCS, V P and Is from publications and validated relevant sources comprising 119 datasets. The accuracy, appropriateness and applicability of the obtained modifications were tested by means of different statistical criteria and graph analyses. The conducted comparison between updated and previous proposed relations highlighted better applicability in the prediction of UCS using the updated correlations introduced in this study. However, the derived updated predictive models are dependent on rock types and test conditions, as they are in this study.

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Section: Discussionmentioning

confidence: 99%

Section: Properties Of Provided Databasementioning

confidence: 99%

Section: Updating Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

Shahri

Larsson

Johansson

2016

Innov. Infrastruct. Solut.

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show abstract

“…Although, the method is relatively simple, sometimes due to complex inherent characteristics of certain rocks, carrying out uniaxial compressive strength test in laboratory becomes not easy particularly from weak, stratified, highly fractured and weathered rocks. In order to overcome this difficulty, several researchers have proposed indirect methods considering simple index parameters such as Schmidt hammer, point load index, block punch and petrographical properties [2]- [7].…”

mentioning

confidence: 99%

Selection of Influential Microfabric Properties of Anisotropic Amphibolite Rocks on Its Uniaxial Compressive Strength (UCS): A Comprehensive Statistical Study

Ali¹,

Wu²

2014

JAMP

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Occasionally, in complex inherent characteristics of certain rocks, especially anisotropic rocks it may be difficult to measure the uniaxial compressive strength UCS. However, the use of empirical relationships to evaluate the UCS of rock can be more practical and economical. Consequently, this study carried out to predict UCS from microfabrics properties of banded amphibolite rocks using multiple regression analysis. Based on statistical results, rock microfabric parameters, which adequately represent the UCS of a given rock type have been selected. The results show that grain size, shape factor and quartz content have high significant correlation with UCS at 95% confidence level. From multiple regression model, approximately 84% of the variance of the UCS can be estimated by the linear combination of these three parameters. However, according to model performance criteria: correlation coefficient (R = 0.919), variance account for (VAF = 97%) and root mean square error (RMSE = 4.16) the study clearly indicates that the developed model is reliable to predict the UCS. Finally, this approach can be easily extended to the modeling of rock strength in the absence of adequate geological information or abundant data.

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A Modified Correlation Using Statistical Techniques in Estimating the Uniaxial Compressive Strength of Sedimentary Rocks Based on P-Wave Velocity- A Case Study

Fatehi

Shahri

2018

Novel Issues on Unsaturated Soil Mechanics and Rock Engineering

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An Empirical Correlation of Uniaxial Compressive Strength with P-wave Velocity and Point Load Strength Index on Marly Rocks Using Statistical Method

Cited by 78 publications

References 51 publications

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

Updated relations for the uniaxial compressive strength of marlstones based on P-wave velocity and point load index test

Selection of Influential Microfabric Properties of Anisotropic Amphibolite Rocks on Its Uniaxial Compressive Strength (UCS): A Comprehensive Statistical Study

A Modified Correlation Using Statistical Techniques in Estimating the Uniaxial Compressive Strength of Sedimentary Rocks Based on P-Wave Velocity- A Case Study

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