Dynamic Fracturing and Deformation of Geomaterials-A Multiscale Experimental and Analytical Approach
Electrical Conductivity of Saturated Fine-Grained Soils: Modelling and Classification Applications
Windblown Sand Modelling and Mitigation for Civil Structures: A Probabilistic Approach
A Study on Performance of Modified Bitumen using Different Types of Blacks
Utilization of E-Waste in Concrete by using TAGUCHI and ANOVA
Estimating the Soil Moisture Index using Normalized Difference Vegetation Index (NDVI) And Land Surface Temperature (LST) for Bidar and Kalaburagi District, Karnataka
Roughness Evaluation of Flexible Pavements Using Merlin and Total Station Equipment
Site Suitability Analysis for Solid Waste Dumping in Ranchi City, Jharkhand Using Remote Sensing and GIS Techniques
Unsaturated Seepage Modeling of Lined Canal Using SEEP/W
Strengthening and Rehabilitation of RC Beams with Openings Using CFRP
A Seasonal Autoregressive Model Of Vancouver Bicycle Traffic Using Weather Variables
Prediction of Compressive Strength of Concrete by Data-Driven Models
Predicting the 28 Days Compressive Strength of Concrete Using Artificial Neural Network
Measuring Compressive Strength of Puzzolan Concrete by Ultrasonic Pulse Velocity Method
Design and Analysis of Roller Compacted Concrete Pavements for Low Volume Roads in India
Understanding the dynamic fracturing and deformation behaviour of geomaterials, such as concrete and rock, is essential for underground infrastructure safety. This study integrates experimental techniques, including the Triaxial Hopkinson Bar (Tri-HB) system, digital image correlation (DIC), digital volume correlation (DVC), acoustic emission (AE), and high-speed X-ray phase contrast imaging (XPCI), to analyse the mechanical and fracturing properties of geomaterials under high strain rates. The findings reveal the interplay between stress confinement, strain rates, and microcrack evolution. A machine learning-based crack classification method is proposed to distinguish crack types and their evolution. This study provides a foundation for numerical modelling and further engineering applications.
The electrical conductivity (EC) of soils is a crucial parameter in geotechnical engineering, providing valuable insights into soil properties such as mineralogy, moisture content, and particle distribution. This study explores the electrical conductivity of fine-grained soils and its application in soil classification. A series-parallel structure-oriented model for electrical conductivity is proposed, incorporating parameters such as diffuse double layer (DDL) effects, pore water salinity, and temperature influence. Experimental validation confirms that EC measurements can accurately predict soil classification attributes such as particle size distribution (PSD), liquid limit (LL), and plastic limit (PL). The proposed approach provides a cost-effective and rapid alternative to conventional geotechnical testing methods.
Windblown sand transport presents a critical challenge to civil structures and infrastructure, particularly in arid and semi- arid environments. This study introduces a probabilistic framework to quantify windblown sand action and assess mitigation measures, integrating statistical and engineering principles. The research systematically reviews existing models, highlighting limitations in deterministic approaches and the necessity for reliability-based methodologies. The study applies the proposed framework to railway infrastructure in the Arabian Peninsula, demonstrating its effectiveness in assessing windblown sand risks and mitigation strategies. The findings emphasize the importance of integrating wind engineering, geomorphology, and structural reliability analysis to develop resilient designs for civil structures.
Flexible pavements with bituminous surfacing are widely used in India. The high traffic intensity in terms of commercial vehicles, overloading of trucks, and significant variations in daily and seasonal temperature of the pavement have been responsible for early development of distress like rutting, cracking, bleeding, shoving, and potholing of bituminous surfacing. A factor which causes concern in India is very high and very low pavement temperature conditions in some parts of the country. Under these conditions, the bituminous surfacing tends to become soft in summer and brittle in winter. Studies have revealed that the properties of bitumen and bituminous mixes can be improved or modified with the incorporation of certain additives or blend of additives. These additives are called modifiers, and the bitumen premixed with these modifiers is known as modified bitumen. Use of modified bitumen in the top layers of the pavement is expected to significantly enhance the life of the surface and extend the time of the next renewal. Various studies have revealed that use of modified bitumen in construction or maintenance of bituminous roads significantly improves the pavement performance and is cost-effective when life-cycle cost is taken into consideration. Various percentages of carbon black, furnace black, and acetylene black are introduced during the preparation of the modified bitumen. Subsequent evaluations encompass physical properties, rheological properties, fatigue characteristics, and microscopic properties of both base asphalt and black-modified bitumen. Rheological tests conducted through the dynamic shear rheometer determine the performance grade. Multiple stress creep recovery testing assesses creep recovery. The thin film oven test, representing short-term aging, is applied to both the base asphalt and modified binder, followed by repeated physical and rheological tests using the dynamic shear rheometer for carbon black, furnace black, and acetylene black. Overall, the use of black as a bitumen modifier can result in improved performance and longevity of asphalt pavements, making it a valuable tool in asphalt mix design and pavement engineering.
The biggest issue facing every nation at the moment is electronic trash. Since there is no way to dispose of e-waste, it has become dangerous. Only a small percentage of the enormous amount of e-waste that is produced each year is recycled or utilized again. E-waste disposal necessitates a sizable land area. Additionally, the supply of components like fine aggregate for concrete is growing rapidly. To solve this issue, other materials must be found. Compressive strength is found in both conventional and e-waste concrete, and a study is conducted on the use of e-waste plastic as fine aggregates with 6% substitution in concrete. Using "MINITAB 16" software, conventional and e-waste concrete are compared. The ANOVA and TAGUCHI methods are then used to determine the optimal value and contribution percentage.
