An Overview on the Techniques of Soil Stabilization
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 4
Abstract
The main difficulty is still determining the appropriate soil stabilizers to overcome the challenges posed by soft soils, not only in terms of achieving the required soil engineering features but also in terms of cost and environmental effect. The purpose of this paper was to look at the soil stabilization technologies that had been created via experiments. The effectiveness of hydroxide solution additive, fly ash terpolymeric cement, various ashes, and cementitious binders for soil stabilizers were all examined. Based on compressive strengths (UCS) or California Bearing Ratio (CBR) tests, the performance of these materials for supporting soft soils was determined purely in terms of strength. These chemicals significantly increased the strength of the soft ground, indicating that they may be used as effective soil stabilizers in the field.
Authors and Affiliations
Pravesh Kumar Sharma
Development of Android-Based Mobile Application Using Gyroscope Sensor
The idea of this project comes into the picture from various uses of sensors that are present in our surroundings. So, we can actually play with them by using two or more sensor mechanisms that end up as new inventions....
Effective Detection of Weapons in Video Surveillance
Surveillance cameras also known as Closed Circuit Tele-Vision (CCTV) play a major part in the enforcement of the law and the administration of justice. The present level of industrial production technology cannot differe...
An Examination the Use of Sugarcane Bagasse Ash as Cement Partial Substitutes in Concrete
The strength and shrinkage of concrete that is combined with sugarcane bagasse ash particles are influenced by the size of the particles, as analyzed in this research article. A higher amount of water is required when ut...
Nonlinear Process Identification and Control Using Neural Networks
In industry process control, the model identification and predictive control of nonlinear systems are always difficult problems. This necessitates the development of empirical nonlinear model from dynamic plant data. Thi...
Classification of Healthy and Diseased Broccoli Leaves Using a Custom Deep Learning CNN Model
Agriculture is essential for sustaining the global population and is a crucial element in economic returns and food supply. However, plant leaf diseases are a major threat to agriculture and economy since they retard yie...