Study On Prediction Of CFG Pile Composite Foundation Quality Based On PSO-SVM

CFG Pile composite foundation treatment technology in improving foundation bearing capacity and reduce the engineering cost has good economic benefit and social benefit, so in the weak, the poor foundation reinforcement in a wide range of applications. The bearing capacity of composite foundation and pile quality is CFG pile composite foundation construction inspection and acceptance of the two main contents, also is the important reflection of evaluation of the construction quality. But at present, there is not an accurate, simple, efficient method for construction quality judgement.so to accurately measure the actual quality situation more difficult.In this paper, it analyzed the CFG pile composite foundation, load transfer mechanism and reinforcement mechanism of mattress layer mechanism, the pile, layer, replacement ratio, construction machinery and other aspects of CFG pile composite foundation systematic and comprehensively, and established the index system of factors that influence the quality. Using advantages of support vector machine in the treatment of complex, nonlinear problem, and the combination of particle swarm optimization algorithm, construct prediction model based on PSO-SVM CFG pile composite foundation quality. And through specific examples of analysis, the model practical application effect for verification, proved the feasibility and validity of this model.