Physio-Mechanical and Petrographic Characteristics of Granitic Rocks from the Demote Valley, Gilgit, Pakistan: Implications for Strength and Bearing Capacity
Journal Title: International Journal of Innovations in Science and Technology - Year 2024, Vol 6, Issue 4
Abstract
The granitic rocks of the Damote Valley (Juglote Group, Kohistan Batholith) were evaluated for their physio-mechanical and petrographic properties to assess their suitability for construction, particularly as dimension stones. Detailed petrography and tests such as Uniaxial Compressive Strength (UCS), Brazilian Tensile Strength (BTS), Ultrasonic Pulse Velocity (UPV), Schmidt Hammer, Specific Gravity, Porosity, Water Absorption, and Slake Durability were conducted. The granitic rocks, medium to coarse-grained with no preferred orientation, consist mainly of plagioclase (19–35%), quartz (30–43%), and alkali feldspar (40–44%), along with biotite, muscovite, sericite, and minor opaque minerals. Based on geographic location, the granites are divided into three zones: Fulkin granite (Zone 1), Bargin (Zone 2), and Shing (Zone 3). The average Uniaxial Compressive Strength (UCS) values of the granite from the Demote area are 63 MPa for Fulkin granite, 66 MPa for Bargain granite, and 53 MPa for Shing granite, reflecting the granite’s suitability for engineering applications. BTS values range from 7.55 to 12.04 MPa. Schmidt hammer rebound values range from 43 to 47, while specific gravity averages from 2.5 to 2.98. Water absorption is low (0.34–0.60%), and porosity ranges from 1.19% to 1.28%. All results fall within ASTM specifications. The mediumgrained granite is stronger and more durable than coarse-grained varieties due to its tighter grain packing and fewer microcracks. Based on these findings, Damote granites are suitable for construction in roads, bridges, constructions, and the dimension stone in the area.
Authors and Affiliations
Shahbaz Alam, Masroor Alam, Ishfaq Ahmad, Sona karim, Massam Ali, Meixia Zhao, Muhib Ullah, Shaikh Sanaullah, Amjad Ali, Izhar Ahmed
Keywords
Related Articles
- EP ID EP760695
- DOI -
- Views 1
- Downloads 0
Investigation of Feminism Trends Through Sentiment Analysis Using Machine Learning and Natural Language Processing
Introduction/Importance of Study: One of the recent changes seen in Pakistan is the growing awareness among people, to end gender discrimination and bring equality, across various spheres. “Aurat March”, is a series o...
AlzheimerNet-V3: Automated Deep Learning Approach for Detecting Alzheimer's Disease
Introduction/Importance of Study: Alzheimer’s Disease (AD) stands as the highly prevalent form of dementia, culminating in a progressive neurological brain disorder characterized by deteriorating memory function and i...
ThematicAnalysisofTourismDownfallandEconomicConsequences During Covid-19: Evidence from A Rural Mountain Community in Pakistan
The COVID-19 pandemic had a profound impact on the tourism industry in GilgitBaltistan, leading to a significant reduction in tourist arrivals and severely affecting the local economy. This study demonstrated that the l...
SSOCANET -Empowering VANETs with Salp Swarm Optimization-Enhanced Clustering Algorithm
Vehicular Ad hoc networks (VANETs) present significant challenges due to the dynamic nature of vehicle movements, leading to a constantly changing vehicular network topology. This instability results in packet loss, ne...
Human Factors and Risk Analysis in Conventional System of Marble Mining: Using HFACS Framework and Structural Equation Modeling Technique
ccidents in mines can occur due to sources of hazards that lead to the loss of hundreds of precious lives every year. Among these sources, human error is considered one of the significant sources that contribute to hum...