Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method

Minaeian, Behnaz; Ahangari, Kaveh

doi:10.1007/s12517-011-0460-y

Cited by 98 publications

(35 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance of these Equations were evaluated through calculating the root mean square error (RMSE) obtained by Equation (13) (Minaeian and Ahangari, 2013). In this regard, is the slake durability index (second cycle) obtained from the experiments and corresponding relationships.…”

Section: Comparison the Equation Proposed In This Paper And Those Bymentioning

confidence: 99%

“…The majority of previous studies concentrated on the application of P-wave velocity for estimating uniaxial compressive strength and tensile strength. For instance, Minaeian and Ahangari (2013) estimated uniaxial compressive strength based on P-wave velocity, which yielded desirable results. The equations obtained from the simple linear regression entailed a coefficient of determination (R 2 ) equal to 0.94 (Minaeian and Ahangari, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…For instance, Minaeian and Ahangari (2013) estimated uniaxial compressive strength based on P-wave velocity, which yielded desirable results. The equations obtained from the simple linear regression entailed a coefficient of determination (R 2 ) equal to 0.94 (Minaeian and Ahangari, 2013). Sharma and Singh (2010) proposed a linear equation with coefficient of determination at 0.93 so as to estimate the uniaxial compressive strength through the velocity of longitudinal waves (Sharma and Singh, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Relationship Between P-Wave Velocity and Slake Durability Index

Hosseini

2016

International Journal of Geography and Geology

View full text Add to dashboard Cite

Many manmade structures such as tunnels, roads, bridges, dams, power plants, etc. have Keywords: P waves, Longitudinal waves, Empirical relationship, Velocity of waves, Rock, Slake durability index. Contribution/ OriginalityThis study is one of very few studies which have investigated the relationship between the sound velocity and slake durability index. This study documents that slake durability index can be estimated with a high level of accuracy by using the proposed equation.

show abstract

Section: Comparison the Equation Proposed In This Paper And Those Bymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Relationship Between P-Wave Velocity and Slake Durability Index

Hosseini

2016

International Journal of Geography and Geology

View full text Add to dashboard Cite

show abstract

“…Also, in order to control the performance of the proposed equations, the root mean square error (RMSE) and value account for (VAF) are determined using relations 7 and 8. y and y' are the measured and estimated tensile strengths, respectively (Minaeian and Ahangari, 2011).…”

Section: Accuracy Of Relations Is Discussed Now This Means That Thementioning

confidence: 99%

An Estimate of the Tensile Strength Based On P-Wave Velocity and Schmidt Hardness Rebound Number

Hosseini

Shirin

2015

International Journal of Geography and Geology

View full text Add to dashboard Cite

Tunnels, roads, bridges, dams, power plants, etc., are International Journal of Geography and Geology 2015 Vol. 4, No. 2, pp. 24-36 ISSN(e): 2305-7041 ISSN(p): 2306-9872 DOI: 10.18488/journal.10/2015.4.2/10.2.24.36 © 2015 Contribution/ OriginalityThis study is one of very few studies which have investigated the relationship between the sound velocity, the Schmidt hammer rebound number and the tensile strength. This study documents that tensile strength can be estimated with a high level of accuracy by using the proposed equations.

show abstract

“…However, some impeding factors, such as obtaining standard intact rock samples especially in highly jointed faulted rock, exist in determination of UCS directly. Further, performing the direct test to measure the UCS of rock is relatively expensive and time consuming as well [1][2][3]. Due to that, an Abstract Uniaxial compressive strength (UCS) of rock is crucial for any type of projects constructed in/on rock mass.…”

Section: Introductionmentioning

confidence: 99%

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

Armaghani

Mohamad

Hajihassani

et al. 2015

Engineering with Computers

115

View full text Add to dashboard Cite

tools, namely non-linear multiple regression (NLMR), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). After conducting the mentioned models, considering several performance indices including coefficient of determination (R 2 ), variance account for and root mean squared error and also using simple ranking procedure, the models were examined and the best prediction model was selected. It is concluded that the R 2 equal to 0.951 for testing dataset suggests the superiority of the ANFIS model, while these values are 0.651 and 0.886 for NLMR and ANN techniques, respectively. The results pointed out that the ANFIS model can be used for predicting UCS of rocks with higher capacity in comparison with others. However, the developed model may be useful at a preliminary stage of design; it should be used with caution and only for the specified rock types.

show abstract

Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method

Cited by 98 publications

References 19 publications

The Relationship Between P-Wave Velocity and Slake Durability Index

The Relationship Between P-Wave Velocity and Slake Durability Index

An Estimate of the Tensile Strength Based On P-Wave Velocity and Schmidt Hardness Rebound Number

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

Contact Info

Product

Resources

About