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文章主要基于济南西客站站场复合地基沉降试验的实测数据,对已有的预测方法进行改进,结合具体工况,研究大面积堆载站场复合地基的沉降预测方法,主要对双曲线法、神经网络法两种不同的方法进行分析比较,比较了两种方法的预测效果与适用性,明确其优缺点,并进行了改进。
Based on the measured data of the composite ground settlement test of Jinan West Railway Station and station site, the paper improves the existing prediction methods and studies the settlement prediction method of composite foundation with large area of loading dock combined with specific working conditions. Two different methods of neural network are compared and analyzed, the prediction results and applicability of the two methods are compared, the advantages and disadvantages are clear, and the improvement is made.