An experimental and numerical study of laterally loaded small groups cfg pile in soft clay

The CFG pile comprises composite materials like cement, fly ash, and gravel with adequate water to achieve various grades. It is one of the best techniques to enhance ground bearing capacity in soft and problematic soil. CFG pile has a good amount of lateral resistance capacity. This research study's main objective is to study a single and small group of casted CFG piles in the laboratory. Also, discussion on the Installation procedure of CFG pile in a confined area, temperature, and curing process. In order to improve the workability of the CFG pile, several laboratory experiments were conducted on various groups of CFG in this experimental analysis. They are made up of a variety of Cement, Fly ash, and gravel particle proportions. Moreover, the research looked at nine pile group combinations (2x1, 2x2, 3x2, 2x3 in square Paton, subjected to a lateral load in a longer direction when in three CFG piles triangular parallel and perpendicular to the base angle of triangular subjected to the lateral load) with a 1.5 D pile spacing values (where D is the pile diameter). In terms of load vs. lateral displacement, load vs. soil resistance, and associated double tangential curved method, the effects of load intensities, group configuration, and Pile are discussed. The improved plots can be used to plan laterally filled CFG piles and equations for group action design. As a result, architecture curves for assessing pile group activity using improvements were developed and implemented in experiments. Results show that the CFG pile was subjected to lateral load and lateral displacement within the permissible limit. The CFG Pile and Pile surrounding soil interaction comparative results were discussed. Suppose the suitable soil elastic modulus is selected. In that case, the numerical, analytical solution and the back load-settlement curve approach can reasonably estimate the lateral deformation concerning Depth and the group efficiency, respectively, according to the relation between numerical and experimental findings.