Prediction of uniaxial compressive strength and elastic modulus of migmatites using various modeling techniques
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ORIGINAL PAPER
Prediction of uniaxial compressive strength and elastic modulus of migmatites using various modeling techniques Bahman Saedi 1 & Seyed Davoud Mohammadi 1 & Hossein Shahbazi 1 Received: 30 January 2018 / Accepted: 10 September 2018 / Published online: 28 September 2018 # Saudi Society for Geosciences 2018
Abstract This study aims to develop several prediction models of uniaxial compressive strength (UCS) and elastic modulus (E) of different migmatite rocks from four areas of the Sanandaj-Sirjan zone in Iran. In addition to UCS and E, porosity, cylindrical punch Index (CPI), block punch index (BPI), Brazilian tensile strength (BTS), point load index (IS(50)), and P wave velocity (VP) were measured for migmatites. Various methods, like multiple regression (MR) analysis, artificial neural network (ANN), and adaptive neural fuzzy inference system (ANFIS), were used to predict UCS and E during the modeling process. In this study, a total of 120 inputs and outputs were used. According to the analyses performed in this study and the input parameters, five different models have been used to estimate UCS and E: (1) CPI, BPI, BTS, and IS(50); (2) CPI, BPI, BTS, and VP; (3) CPI, BPI, IS(50), and VP; (4) CPI, BTS, IS(50), and VP; (5) BPI, BTS, IS(50), and VP. Performance evaluation shows that ANN is a better prediction method compared to the others, and models 2, 4, and 5 are the best models for prediction. The developed models in this paper can have high prediction efficiency if they are used for similar types of rocks. Keywords Uniaxial compressive strength . Elastic modulus . Migmatite . Multiple regression . Artificial neural network . Adaptive neural fuzzy inference system
Introduction Studying the engineering characteristics of rocks is one of the most important issues in engineering geology. Precise determination of these characteristics makes it easy to decide on the construction of engineering structures and how to encounter various situations logically. In this regard, determining the engineering characteristics of rocks that have complicated behavior is of utmost importance. Migmatites are heterogeneous rocks and are formed by subsequent processes. Migmatite is found in medium- and high-grade metamorphic areas and, on the macroscopic scale, is composed of two, or more parts with different petrography (Fig. 1). The parts created by partial melting are called neosome. Neosome usually contains palecolored layers (leucosomes, composed of quartzofeldspathic, or feldspathic) and pitch-dark layers (melanosomes, enriched
* Seyed Davoud Mohammadi [email protected] 1
Department of Geology, Faculty of Sciences, Bu-Ali Sina University, Mahdieh Ave, Hamedan 65178-38695, Iran
in ferromagnesian minerals). The part not affected by partial melting, which has a dark appearance and could be a parent rock, is called paleosome (mesosome) (Sawyer 2008). Uniaxial compressive strength (UCS) and elastic modulus of intact Rock (E) are of the most important mechanical properties and are widely used in rock engineering
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