Estimating Strength of Sandstone Using Petrographic Thin-Section Data

Fahy, M. P.; Guccione, M.

doi:10.2113/gseegeosci.xvi.4.467

Cited by 40 publications

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“…Bu alanda en çok çalışılan parametre, kayacın kuvars içeriğidir. Fahy ve Guccione [2] ile Shakoor ve Bonelli [3] çalıştıkları kumtaşları için, kayaçların kuvars içeriği ile tek eksenli basma dayanımı arasında belirgin bir ilişki bulmuşlardır. Tuğrul ve Zarif [4], granitler üzerinde yaptıkları çalışmada, kayacın kuvars içeriği arttıkça, dayanım özelliklerinin de arttığını bildirmişlerdir.…”

Section: Introductionunclassified

Kayaç Dokularindaki̇ Mi̇neralleri̇n Bazi Şeki̇l Özelli̇kleri̇ İle Kayaç Kirilabi̇li̇rli̇ği̇ Arasindaki̇ İli̇şki̇ni̇n İncelenmesi̇

Çomaklı¹,

Çayırlı²

2017

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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ÖZKayaçların kırılganlık özellikleri endüstriyel boyutta oldukça önemli bir parametre olup farklı şekillerde belirlenebilmektedir. Kayaç içerisindeki mineral özelliklerinin kayaçların kırılganlıklarına etkisi vardır ve bu çalışmada bu iki kavram arasındaki ilişki araştırılmıştır. Bu doğrultuda beş farklı kayaç numunesinin kırılganlık özellikleri; belirli bir boyuttaki numunelerin çeneli kırıcıda kırılıp, kırılan bu malzemelerden belirli elek açıklığının altında kalan miktarının hesaplanmasıyla belirlenmiştir. Mineral özellikleri belirlenirken doku katsayısı yaklaşımı kullanılmış ve bu yaklaşımda minerallerin şekilsel özellikleri dikkatte alınmıştır. Elde edilen veriler istatistiksel olarak değerlendirilmiş ve kayaçların kırılabilirlik indeksi (CI) ve tane boyutu (d 50 , d 80 ) ile doku katsayısı (TC) değerleri arasında güçlü bir ilişki elde edilmiştir. Ayrıca, kayaçların sertliklerinin belirlenmesi amacı ile Schmidt sertlik değerleri (SH) belirlenmiş ve doku katsayısı değerleri ile arasındaki ilişki araştırılmış ve belirli bir ilişki olduğu ortaya çıkarılmıştır.Anahtar Kelimeler: Doku katsayısı, kırılabiliklik indeksi, tane boyutu, sertlik INVESTIGATION OF THE RELATIONSHIP BETWEEN SOME SHAPE PROPERTIES OF MINERALS WITHIN ROCK TEXTURES AND CRUSHABILITY OF ROCKS ABSTRACTThe crushability properties of rocks are very important parameters in industrial scale and they can be determined by different methods. The mineral properties in the rock have effects on rock crushability and in this study; the relationship between mineral properties and rock crushability was investigated. According to this, the crushability properties of five different rock samples were determined by calculating the amount of material passing a given mesh opening, after the rock samples of a certain size were broken by using a jaw crusher. When the mineral properties were determined, the texture coefficient approach was used and the shape characteristics of the minerals were also taken into consideration. The obtained data from laboratory tests and image analysis of rocks were evaluated statistically and strong correlations between the crushability index (CI) of the rocks, particle size (d 50 , d 80 ) and the values of the texture coefficients (TC) were found. In addition, Schmidt hardness (SH) tests were performed for determining the hardness values of the rocks and correlated with the texture coefficients and obtained a good relationship.

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Section: Introductionunclassified

Kayaç Dokularindaki̇ Mi̇neralleri̇n Bazi Şeki̇l Özelli̇kleri̇ İle Kayaç Kirilabi̇li̇rli̇ği̇ Arasindaki̇ İli̇şki̇ni̇n İncelenmesi̇

Çomaklı¹,

Çayırlı²

2017

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

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“…The lack of petrographic information incorporated in mining engineering applications stands in contrast with the conclusions of several researchers, who indicate that a petrographic characterization is the essential core of a proper investigation into the suitability of geological materials (Price, 1960;Fahy and Guccione, 1979;Verhoef and Van De Wall, 1998;El Bied et al, 2002). Methods of stability analysis of underground openings require input data on the geomechanical behavior of rocks (Bieniawski, 1973;Fahy and Guccione, 1979;Ulusay et al, 1994;Molinda and Mark, 1999). Because core samples obtained from sedimentary strata are commonly of such poor quality that mechanical tests are not possible, mechanical properties may be estimated from simple index tests or from rock properties that are known to correlate with the necessary mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

“…Because core samples obtained from sedimentary strata are commonly of such poor quality that mechanical tests are not possible, mechanical properties may be estimated from simple index tests or from rock properties that are known to correlate with the necessary mechanical properties. Petrologic properties, such as texture and mineralogy, influence rock strength and can be readily measured through microscope inspection of thin sections (Fahy and Guccione, 1979). In order to obtain useful information from core samples unsuitable for strength testing, some investigators utilized statistical techniques to predict a value of rock strength based on petrographic properties (Bell, 1978;Fahy and Guccione, 1979;Shakoor and Bonelli, 1991;Richards and Bell, 1995;Bell and Culshaw, 1998;Prikryl, 2001).…”

Section: Introductionmentioning

confidence: 99%

“…Petrologic properties, such as texture and mineralogy, influence rock strength and can be readily measured through microscope inspection of thin sections (Fahy and Guccione, 1979). In order to obtain useful information from core samples unsuitable for strength testing, some investigators utilized statistical techniques to predict a value of rock strength based on petrographic properties (Bell, 1978;Fahy and Guccione, 1979;Shakoor and Bonelli, 1991;Richards and Bell, 1995;Bell and Culshaw, 1998;Prikryl, 2001). However, techniques based on linear regression appear applicable to only a narrow range of properties from a specific location or rock type.…”

Section: Introductionmentioning

confidence: 99%

“…Many of the petrographic properties determined to be important for strength in sandstone are not applicable to the study of shale. For example, finer-grained sandstone was found by a variety of studies to be generally stronger than their coarser-grained counterparts (Spry, 1976;Fahy and Guccione, 1979;Ulusay et al, 1994;Tugrul and Zarif, 1999), although shale, which is by definition finer-grained than sandstone, exhibits lower values of unconfined compressive strength. Furthermore, although matrix volume has been correlated to decreasing compressive strength in sandstone (Howarth and Rowlands, 1986;Bell and Culshaw, 1998), the material that would be classified as "matrix" or "grain coatings" in sandstone may constitute the majority of many shale samples.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Texture, mineralogy, and rock strength in horizontal stress-related coal mine roof falls

Phillipson

2008

International Journal of Coal Geology

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Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

Yağız

Sezer

Gökçeoğlu

2011

Num Anal Meth Geomechanics

177

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SUMMARYUnderstanding rock material characterizations and solving relevant problems are quite difficult tasks because of their complex behavior, which sometimes cannot be identified without intelligent, numerical, and analytical approaches. Because of that, some prediction techniques, like artificial neural networks (ANN) and nonlinear regression techniques, can be utilized to solve those problems. The purpose of this study is to examine the effects of the cycling integer of slake durability index test on intact rock behavior and estimate some rock properties, such as uniaxial compressive strength (UCS) and modulus of elasticity (E) from known rock index parameters using ANN and various regression techniques. Further, new performance index (PI) and degree of consistency (Cd) are introduced to examine the accuracy of generated models. For these purposes, intact rock dataset is established by performing rock tests including uniaxial compressive strength, modulus of elasticity, Schmidt hammer, effective porosity, dry unit weight, p-wave velocity, and slake durability index tests on selected carbonate rocks. Afterward, the models are developed using ANN and nonlinear regression techniques. The concluding remark given is that four-cycle slake durability index (I d4 ) provides more accurate results to evaluate material characterization of carbonate rocks, and it is one of the reliable input variables to estimate UCS and E of carbonate rocks; introduced performance indices, both PI and Cd, may be accepted as good indicators to assess the accuracy of the complex models, and further, the ANN models have more prediction capability than the regression techniques to estimate relevant rock properties.

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Estimating Strength of Sandstone Using Petrographic Thin-Section Data

Cited by 40 publications

References 0 publications

Kayaç Dokularindaki̇ Mi̇neralleri̇n Bazi Şeki̇l Özelli̇kleri̇ İle Kayaç Kirilabi̇li̇rli̇ği̇ Arasindaki̇ İli̇şki̇ni̇n İncelenmesi̇

Kayaç Dokularindaki̇ Mi̇neralleri̇n Bazi Şeki̇l Özelli̇kleri̇ İle Kayaç Kirilabi̇li̇rli̇ği̇ Arasindaki̇ İli̇şki̇ni̇n İncelenmesi̇

Texture, mineralogy, and rock strength in horizontal stress-related coal mine roof falls

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

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