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高速铁路路基沉降控制是高速铁路设计和施工中所要考虑的主控因素,所以在大规模施工前,均应进行路基沉降观测,结合沉降观测数据进行路基沉降量预测。而路基沉降预测常用方法涉及多个学科和领域的交叉运用,本文深入浅出的介绍了对高速铁路路基沉降预测的几个典型方法,主要有曲线法、灰色系统法、BP神经网络法和遗传算法。
The subsidence control of high-speed railway subgrade is the main control factor to be considered in the design and construction of high-speed railway. Therefore, subgrade settlement observation should be carried out before large-scale construction, and subsidence prediction should be carried out based on the subsidence observation data. The commonly used methods of subgrade settlement prediction involve the cross-application of many disciplines and fields. In this paper, some typical methods for subsidence prediction of high-speed railway subgrade are introduced in simple terms, including curve method, gray system method, BP neural network and genetic algorithm.