Faculty Publications

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    Physico-mechanical properties of select granitoidal rocks from a part of Pandiyan mobile belt, India
    (2012) Sivapragasam, C.; Venkat Reddy, D.; Kulandaisamy, K.; Vigneswaran, M.; Senthilkumaran, S.; Sivaprasath, C.; Varun Kumar, M.
    This study deals with the Physico-mechanical properties of the granites from the Pandiyan mobile belt to identify the suitability of the granite for engineering purposes. The geological characteristics, the mining procedure and mineralogical and engineering properties of the granite samples are estimated through laboratory tests. Based on the results, it is concluded that granitoids of Madurai region is best suited for all the civil engineering works. The granites in Sankarankovil region are more suited as aggregates for road pavements. © 2012 Cafet-Innova Technical Society.
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    Prediction of rock properties using grinding characteristics of ball mill
    (Inderscience Publishers, 2020) Ram Chandar, R.C.; Umamahesh, A.; Kumar, K.P.; Avinash, D.
    Knowledge of physico-mechanical properties of rocks is essential starting from the preliminary exploration to processing in mining projects. The strength properties of rocks considered necessary for mine planning and design, selection of equipment, use of suitable processing technique, etc. Sophisticated laboratory facilities are required to determine various properties of rocks using some international standards like ISRM, ASTM, etc., which is time consuming and costly affair. In this study, an attempt is to predict some of the rock properties like density, tensile strength using grinding characteristics of ball mill. Laboratory experiments conducted on samples of granite, limestone, slate and BHQ varying different parameters like quantity of feed, charge ratio, size of balls, grinding time, etc., at constant RPM of ball mill. Grinding characteristic curves used to obtain 25%, 50%, 80% cumulative passing sieve sizes. In addition, laboratory experiments carried out to find physico-mechanical properties like density, tensile strength, Protodyakonav's strength index, rebound hardness number. Regression analysis carried out with the data obtained from experiments. © © 2020 Inderscience Enterprises Ltd.
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    An overview of the applications of soft computing methods for predicting the physico-mechanical properties of rocks from indirect methods
    (Inderscience Publishers, 2023) Bijay Mihir Kunar, S.; Chandar, K.R.
    Rocks are widely used in infrastructure constructions like roads, tunnels, buildings, and dams. Understanding physico-mechanical properties of rocks is vital for selecting suitable rocks, yet some properties pose challenges in determination. High-quality core samples and precise instruments are necessary for accurate assessment. Predicting the physico-mechanical properties of rocks is a key research area in rock mechanics. Researchers have employed diverse methods, including laboratory tests, non-destructive tests, and mineralogical and petrographical characteristics, to determine rock properties. This article reviews the use of soft computing methods, artificial intelligence, and machine learning to predict rock properties through indirect methods. Indirect methods involve engineering indices tests, mineralogical and petrographical characteristics, and additional approaches such as electrical properties, crushability indices, thermal characteristics, and grinding characteristics. The article also proposes various artificial intelligence and machine learning techniques as potential future directions in prediction of rock properties. © © 2023 Inderscience Enterprises Ltd.
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    A review study of thermal conductivity and influencing physico-mechanical properties of rocks
    (Inderscience Publishers, 2023) Dileep, G.; Tripathi, A.K.; Murthy, C.S.N.; Pal, S.K.
    Geothermal exploration and heat flow studies rely heavily on rock's thermal conductivity, and it controls the subsurface temperature distribution. A broad study of rock thermal properties has become progressively indispensable for geotechnical, civil, mining, and tunnel engineers. The thermal properties of rocks are essential to the ground modification technique of geothermal heat pumps, environmentally conscious projects like dumping high-level nuclear waste in underground sites, and a wide range of engineering projects. The steady-state technique is commonly employed for homogeneous materials, providing a more precise thermal conductivity value despite longer testing times. Conversely, the transient technique is preferred for heterogeneous materials with moisture content, considering this factor but requiring multiple tests to achieve accurate results. This paper explores the predominant approaches used to measure rock thermal conductivity and identify the factors that influence it. Additionally, researchers present a generic equation for predicting the thermal conductivity of rocks using data they have gathered. According to this article, the thermal conductivity of rocks is influenced by several factors such as porosity, density, pressure, moisture content, variations in mineral composition, temperature, and more. © 2023 Inderscience Enterprises Ltd.
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    Physicomechanical Properties and Characterization of Gold Ore Tailings and the Utilization in Manufacturing of Geopolymer Concrete with Class F Fly Ash and Recycled Coarse Aggregates
    (American Society of Civil Engineers (ASCE), 2023) Lokesha, E.B.; Mangalpady, M.; Kumar Reddy, S.K.; Srinivasa, A.S.
    The mining industry generates a large amount of waste, particularly in the form of tailing dumps, which creates major environmental difficulties such as air pollution, water pollution, soil erosion, and acid mine drainage. Previous studies confirmed that the mine waste could be used in making building materials, such as bricks, tiles, concrete blocks, pavement blocks, and precast concrete elements. However, gold ore tailings (GOTs) are recognized as major mine residues in the mining industry. In this study, GOTs were utilized as partial replacement material (0%, 5%, 10%, 15%, 20%, 25%, and 30% by weight) to fine aggregates such as river sand (RS) and low calcium fly ash (FA) as binder material in the manufacture of geopolymer concrete (GPC) along with recycled coarse aggregates. The GPC samples were cast and cured at room temperature until the curing ages; subsequently, the compressive strength of the samples was determined. This study demonstrated that the RS can be partially substituted in the manufacture of GPC by GOTs up to 15% with a slump value of 38.6 mm and the maximum compressive strength of 35.8 MPa. The mineralogical and chemical composition of raw materials (i.e., GOTs and FA) was analyzed using X-ray diffraction (XRD) and X-ray fluorescence (XRF), respectively. The XRD analysis revealed that the quartz has the highest peak intensity of 55% in GOTs and 50% of corundum in FA. The XRF analysis exhibited that GOTs and FA have high silicon oxides up to 39% and 38%, respectively. The crushed GPC samples were analyzed using field emission scanning electron microscopy to observe the morphological changes. The GPC sample comprised 15% GOTs exhibited denser and compacted microstructures. © 2023 American Society of Civil Engineers.
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    Prediction of thermal conductivity of quartz chlorite schist rocks: a comparative study of MLR and ridge regression
    (Inderscience Publishers, 2025) Tripathi, A.K.; Pal, S.K.; Dileep, G.; Raj, A.
    Thermal conductivity is a key physical property with broad applications in engineering and geosciences, particularly in energy-efficient building design, geothermal energy systems, and subsurface geological studies. Accurate determination of thermal conductivity is essential for understanding heat transfer mechanisms in rock materials. However, direct in-situ measurement is often impractical due to technical and logistical constraints. As a result, indirect estimation methods, which establish empirical relationships between thermal conductivity and various physico-mechanical properties, have gained attention. This study investigates the thermal conductivity of quartz chlorite schist through laboratory experiments, alongside measuring key physico-mechanical properties, including P-wave velocity, porosity, density, and uniaxial compressive strength (UCS). The objective is to analyse the correlations between thermal conductivity and these properties to develop a reliable predictive model. Multiple regression and ridge regression analysis are employed to derive an empirical equation for estimating thermal conductivity based on the measured parameters. The findings of this study contribute to improving indirect assessment techniques, which are valuable for geotechnical and geological applications where direct measurements are challenging. © © 2025 Inderscience Enterprises Ltd.
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    Comparative characterisation analysis of composite films fabricated from agar and alginate extracted from Gelidiella acerosa and Sargassum tenerrimum combined with Arrowroot Starch
    (Elsevier Ltd, 2025) Yavagal, S.; Thalla, A.K.
    Biopolymers such as Sodium Alginate (SA) and Agar (AG) were extracted from Sargassum tenerrimum spp and Gelidiella acerosa spp. respectively. Extracted agar yielded a molecular weight of 110 kDa, higher than that of extracted alginate, i.e 53 kDa. Further, Arrowroot Starch (AR) was incorporated into SA and AG to develop various compositions of SA/AR and AG/AR films. The compatibility of arrowroot starch with agar and alginate was assessed by measuring physico-mechanical, barrier, and thermal properties. XRD analysis revealed that the extracted agar exhibited a high degree of crystallinity (CI ? 55 %), which decreased to 35–45 % in AG/AR composites, reflecting an increased amorphous phase and the formation of a continuous polymer matrix. Incorporation of arrowroot starch (AR) into sodium alginate (SA) and agar (AG) further enhanced the thermal stability, tensile strength, and whiteness index of the resulting films. In terms of barrier properties, the SA/AR composite exhibited a lower WVP than the AG/AR composite relative to their respective control films. Additionally, the solubility index of SA/AR composites (? 65–75 %) demonstrated high aqueous solubility, underscoring their suitability for edible coatings and dissolvable packaging applications. Overall, this study highlights the potential compatibility of arrowroot starch with agar and alginate polysaccharides, demonstrating strong potential for innovation in sustainable packaging materials. © 2025 Elsevier Ltd