Considerations on Granite Dimension Stone Porosity and Modifications from Quarry to Slabs

2013 ◽  
Vol 548 ◽  
pp. 124-131
Author(s):  
Maria H.B.O. Frascá
Keyword(s):  
Granitic Rock ◽  
Rock Material ◽  
Natural Stone ◽  
Engineering Properties ◽  
Dimension Stone ◽  
Additional Criterion ◽  
Physical Conditions ◽  
Rock Types ◽  
Stone Durability

This paper presents the physical and petrographic characterization of selected granitic rock types from several quarries in Brazil and aims to contribute to a better knowledge of the engineering properties of granite dimension stone, focusing on laboratory physical determinations and the possible changes that would occur along processing operations, i.e., from the quarried rock to the polished slabs or tiles. The tests – petrography and porosity determinations – led to the collection of parameters of in natura and processed rock material, respectively from specimens obtained from small cubic blocks and polished slabs, situations considered representative of the stresses to which the rock is submitted to during the several processing stages. The results indicated that porosity tends to be higher for “tiles” than for “blocks”, and that “S-type granites” have higher porosity/open-pores values than “ordinary granites”, mainly due to their conspicuous microcracking. Moreover, in spite porous configuration may be modified during stone processing, it was found that such changes are not homogeneous and intrinsically associated to the petrographic characteristics, as previous microcracking and alteration states. Finally, as the new physical conditions, acquired after processing, may influence the stone durability, it is strongly suggested that they should be taken into account, as an additional criterion, to the cladding or flooring natural stone selection and specification.

Petrological and geochemical characterization of the arc-related Suru–Thasgam ophiolitic slice along the Indus Suture Zone, Ladakh Himalaya

2021 ◽  
pp. 1-20
Author(s):  
I.M. Bhat ◽  
T. Ahmad ◽  
D.V. Subba Rao ◽  
N.V. Chalapathi Rao
Keyword(s):  
Suture Zone ◽  
Secondary Mineral ◽  
High Field Strength ◽  
Geochemical Characterization ◽  
Rock Types ◽  
Ladakh Himalaya ◽  
Magnesian Olivine ◽  
Textural Relationship ◽  
Ree Patterns

Abstract The Ladakh Himalayan ophiolites preserve remnants of the eastern part of the Neo-Tethyan Ocean, in the form of Dras, Suru Valley, Shergol, Spongtang and Nidar ophiolitic sequences. In Kohistan region of Pakistan, Muslim Bagh, Zhob and Bela ophiolites are considered to be equivalents of Ladakh ophiolites. In western Ladakh, the Suru–Thasgam ophiolitic slice is highly dismembered and consists of peridotites, pyroxenites and gabbros, emplaced as imbricate blocks thrust over the Mesozoic Dras arc complex along the Indus Suture Zone. The Thasgam peridotites are partially serpentinized with relict olivine, orthopyroxene and minor clinopyroxene, as well as serpentine and iron oxide as secondary mineral assemblage. The pyroxenites are dominated by clinopyroxene followed by orthopyroxene with subordinate olivine and spinel. Gabbros are composed of plagioclase and pyroxene (mostly replaced by amphiboles), describing an ophitic to sub-ophitic textural relationship. Geochemically, the studied rock types show sub-alkaline tholeiitic characteristics. The peridotites display nearly flat chondrite-normalized rare earth element (REE) patterns ((La/Yb)N = 0.6–1.5), while fractionated patterns were observed for pyroxenites and gabbros. Multi-element spidergrams for peridotites, pyroxenites and gabbros display subduction-related geochemical characteristics such as enriched large-ion lithophile element (LILE) and depleted high-field-strength element (HFSE) concentrations. In peridotites and pyroxenites, highly magnesian olivine (Fo88.5-89.3 and Fo87.8-89.9, respectively) and clinopyroxene (Mg no. of 93–98 and 90–97, respectively) indicate supra-subduction zone (SSZ) tectonic affinity. Our study suggests that the peridotites epitomize the refractory nature of their protoliths and were later evolved in a subduction environment. Pyroxenites and gabbros appear to be related to the base of the modern intra-oceanic island-arc tholeiitic sequence.

Chemical, Physical and Engineering Characterization Of Candidate Backfill Clays and Clay Admixtures for a Nuclear Waste Respository-Part I

1981 ◽  
Vol 6 ◽  
Author(s):  
Sudesh K. Singh
Keyword(s):  
Nuclear Waste ◽  
Morphological Changes ◽  
Deionized Water ◽  
Engineering Properties ◽  
Nuclear Waste Repository ◽  
Exchange Cation ◽  
Mineral Components ◽  
Waste Repository ◽  
Mineralogical Compositions

ABSTRACTFourteen Canadian clays and clay admixtures were subjected to simulated nuclear waste repository environments. The present work is concerned with the montmorillonite-dominant materials only. The montmorillonite-dominant samples showed significant leaching on interaction with deionized water. On heating the samples at 200°C for 500 hours, montmorillomites lost intermicellar water completely and acquired cusp-like to cylindrical morphologies. The loss of water and the morphological changes in montmorillonites significantly altered the engineering characteristics. Permeability, shrinkage limits, compactability and shear strength varied in response to the dominant exchange cation in the structure of montmorillonites and the presence of other mineral components in the materials. The synthetic granite water reacted with montmorillonites and led to changes in chemical and mineralogical compositions, crystalline state and engineering properties.

Characterization of Micro-Pore Structure in Novel Cement Matrices

2014 ◽  
Vol 1712 ◽  
Author(s):  
Seyoon Yoon ◽  
Isabel Galan ◽  
Kemal Celik ◽  
Fredrik P. Glasser ◽  
Mohammed S. Imbabi
Keyword(s):  
Portland Cement ◽  
Pore Structure ◽  
Engineering Properties ◽  
Calcium Sulfoaluminate ◽  
Pore Structures ◽  
Porosity And Permeability ◽  
Experimental Protocols ◽  
Novel Processing ◽  
Main Component

ABSTRACTCalcium sulfoaluminate (CSA) cements are being developed using a novel processing method having as its objective lowering specific CO2 emissions by ∼50% relative to a Portland cement benchmark. We need to be able to measure the properties of the products. Porosity and permeability measurements help define the engineering properties but their quantification is influenced by the choice of experimental protocols. In the present study we used ordinary Portland cement (PC) paste as a benchmark and hydrated ye’elimite, which is a main component of CSA cements, to understand its pore structure. We report on the use of synchrotron-sourced radiation for µCT (Computerized Tomography) and 3D image re-construction of the internal micro-pore structure of PC and ye’elimite-gypsum pastes. As a comparison, porosity and permeability measurements were traditionally obtained using Mercury Intrusion Porosimetry (MIP). The Mori-Tanaka method and the polynomial statistical model were used to analyze the effects of different 3-D micro-pore structures on mechanical properties. The results show that e micro-pore structures differ considerably between PC and ye’elimite pastes and their bulk modulus is significantly affected by the shapes of their micro-pore structures.

A Machine Learning Methodology for Rock-Typing Using Relative Permeability Curves

2021 ◽  
Author(s):  
Carlos Esteban Alfonso ◽  
Frédérique Fournier ◽  
Victor Alcobia
Keyword(s):  
Machine Learning ◽  
Capillary Pressure ◽  
Relative Permeability ◽  
Fractional Flow ◽  
Flow Curves ◽  
Rock Types ◽  
Rock Typing ◽  
Relative Permeability Curves ◽  
Permeability Data

Abstract The determination of the petrophysical rock-types often lacks the inclusion of measured multiphase flow properties as the relative permeability curves. This is either the consequence of a limited number of SCAL relative permeability experiments, or due to the difficulty of linking the relative permeability characteristics to standard rock-types stemming from porosity, permeability and capillary pressure. However, as soon as the number of relative permeability curves is significant, they can be processed under the machine learning methodology stated by this paper. The process leads to an automatic definition of relative permeability based rock-types, from a precise and objective characterization of the curve shapes, which would not be achieved with a manual process. It improves the characterization of petrophysical rock-types, prior to their use in static and dynamic modeling. The machine learning approach analyzes the shapes of curves for their automatic classification. It develops a pattern recognition process combining the use of principal component analysis with a non-supervised clustering scheme. Before this, the set of relative permeability curves are pre-processed (normalization with the integration of irreducible water and residual oil saturations for the SCAL relative permeability samples from an imbibition experiment) and integrated under fractional flow curves. Fractional flow curves proved to be an effective way to unify the relative permeability of the two fluid phases, in a unique curve that characterizes the specific poral efficiency displacement of this rock sample. The methodology has been tested in a real data set from a carbonate reservoir having a significant number of relative permeability curves available for the study, in addition to capillary pressure, porosity and permeability data. The results evidenced the successful grouping of the relative permeability samples, according to their fractional flow curves, which allowed the classification of the rocks from poor to best displacement efficiency. This demonstrates the feasibility of the machine learning process for defining automatically rock-types from relative permeability data. The fractional flow rock-types were compared to rock-types obtained from capillary pressure analysis. The results indicated a lack of correspondence between the two series of rock-types, which testifies the additional information brought by the relative permeability data in a rock-typing study. Our results also expose the importance of having good quality SCAL experiments, with an accurate characterization of the saturation end-points, which are used for the normalization of the curves, and a consistent sampling for both capillary pressure and relative permeability measurements.

Characterization of Dimension Stone Sawing Sludge in Egypt

2011 ◽  
Vol 11 (6) ◽  
pp. 1019-1025 ◽  
Author(s):  
E. El-Hinnawi ◽  
S.D. Abayazeed
Keyword(s):  
Dimension Stone

Changes in engineering properties of natural stone

2012 ◽  
Vol 165 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Tim Yates ◽  
David Richardson ◽  
Bruno Miglio
Keyword(s):  
Natural Stone ◽  
Engineering Properties

Experiment Study on Stone Masonry Mechanical Properties

2013 ◽  
Vol 702 ◽  
pp. 27-30
Author(s):  
Ling Qiang Yang ◽  
Lu Ling Yang ◽  
Rui Gao
Keyword(s):  
Mechanical Properties ◽  
Experimental Work ◽  
Cement Mortar ◽  
Morphological Characteristics ◽  
Natural Stone ◽  
Stone Masonry ◽  
Experiment Study ◽  
Compressive Loads ◽  
Experimental Values

The research presented the mechanical properties under compressive loads of a natural stone masonry. The characterization of the basic materials and different stone masonry prisms are included. Sandstone and low strength lime–cement mortar were used for this experimental work. The morphological characteristics of walls were also taken into account, in order to manufacture prism specimens that were as representative as possible of the Chinese typology. The experimental values were compared with the analytical in different masonry.

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