123 Author's personal copy Statistical Method for Assessing the Uniaxial Compressive Strength of Carbonate Rock Fig. 1 Scatter plot from a dataset of 97 pairs of RL–rc values, classified according the strength classes of the Geological Society of London, Engineering Group Working Party (1970) As the RN transformation is concerned, Eq. 3 in ...

Free Online Library: Multicriteria decision-making analysis based methodology for predicting carbonate rocks' uniaxial compressive strength.(GEOTECHNICAL ANALYSIS) by "Earth Sciences Research Journal"; Earth sciences Carbonates Analysis Mechanical properties Methods Cretaceous period Decision making Decision-making

ABSTRACT: Unconfined compressive strength (UCS) is the key parameter to; estimate the in situ stresses of the rock, alleviate drilling problems, design optimal fracture geometry and to predict optimum mud weight. Retrieving reservoir rock samples throughout the depth of the reservoir section and performing laboratory tests on them are extremely expensive as well as time consuming.

This paper presents an application of fuzzy modeling to the prediction of the unconfined compressive strength (UCS) from rock sample data. Fuzzy models describe input–output relationships by fuzzy if-then rules (fuzzy propositions).

Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks Article (PDF Available) in Environmental Earth Sciences 68(3) · February 2012 with 473 Reads

2012; DOI: 10.1007/s00603-012-0261-y The Influence of Testing Procedures on Uniaxial Compressive Strength Prediction of Carbonate Rocks from Equotip Hardness Tester (EHT) and Proposal of a New Testing Methodology: Hybrid Dynamic Hardness (HDH)

Feb 01, 2008· The uniaxial compressive strength of intact rock is the main parameter used in almost all engineering projects. The uniaxial compressive strength test requires high quality core samples of regular geometry. The standard cores cannot always be extracted from weak, highly fractured, thinly bedded, foliated and/or block-in-matrix rocks. For this reason, the simple prediction models become ...

Measuring unconfined compressive strength (UCS) using standard laboratory tests is a difficult, expensive, and time-consuming task, especially with highly fractured, highly porous, weak rock. This study aims to establish predictive models for the UCS of carbonate rocks formed in various facies and exposed in Tasonu Quarry, northeast Turkey.

Jun 29, 2014· Prediction of Unconfined Compressive Strength of Limestone ... - 1767 - Prediction of Unconfined Compressive Strength of Limestone Rock Samples Using L-Type Schmidt Hammer Dr. Ramli Nazir Associate Professor, Faculty of Civil ... What are the properties of limestone - Answers.com.

Prediction of compressive strength and elastic modulus of carbonate rocks ... neural networks are best suited for UCS and Young's modulus predictions of carbonate rocks due of the complex nature of inter-relationships among ... N. Ceryan, U. Okkan, A. KesimalPrediction of unconfined compressive strength of carbonate rocks using artificial ...

Australian underground coal mines with an abundance of strength data for use in all aspects of ground control design. However, the technique depends upon reliable correlations between the unconfined compressive strength (UCS) and the sonic velocity. This paper describes research recently conducted by …

Yagzi, S., Sezer, E. A., Gokceoglu, C. 2012. Artificial Neural Networks and Non-linear Regression Techniques to Assess the Influence of Slake Durability Cycles on the Prediction of Unconfined Compressive Strength and Modulus of Elasticity for Carbonate Rocks. International Journal for Numerical and Analytical Methods in Geomechanics. Vol. 36.

Uniaxial compressive strength (UCS) is considered to be one of the important parameters in rock engineering projects. In order to determine UCS, direct and indirect techniques are employed. In the direct approach, UCS is determined from the laboratory UCS test. In indirect techniques determine UCS based on the nondestructive test findings which can be easily and quickly performed and require ...

Conventionally, many researchers have used both regression and black box techniques to estimate the unconfined compressive strength (UCS) of different rocks. The advantage of the regression approach is that it can be used to render a functional relationship between the predictive rock indices and its UCS. The advantage of the black box techniques is in rendering more accurate predictions. Gene ...

Jun 01, 2016· Read "Prediction of compressive strength and elastic modulus of carbonate rocks, Measurement" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips.

Predicting the Compressive and Tensile Strength of Rocks from Indentation Hardness Index. Journal of the Southern African Institute of Mining and Metallurgy. 112(5): 331–339. Ceryan, N., Okkan, U., and Kesimal., A. 2012. Prediction of Unconfined Compressive Strength of Carbonate Rocks using Artificial Neural Networks.

Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud, Salaheldin Elkatatny, Abdulwahab Z. Ali, Dhafer Al-Shehri, Mandefro W. A. Belayneh; A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools.

A predictive model for uniaxial compressive strength of carbonate rocks from Schmidt hardness @inproceedings{Yurdakul2011APM, title={A predictive model for uniaxial compressive strength of carbonate rocks from Schmidt hardness}, author={Murat …

Unconfined compressive strength (UCS) of rocks is a crucial parameter in designing geotechnical structures. Owing to difficulties in obtaining proper samples for UCS test as well as the point that conducting UCS is relatively expensive, the use of indirect methods for UCS estimation has drawn considerable attentions.

View Academics in Prediction of unconfined compressive strength of limestone rock samples using l-type schmidt hammer on Academia.edu.

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