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随着高速铁路的快速发展以及无砟轨道桥梁的建设要求,对于采用悬臂浇注施工的连续梁桥,对合龙精度以及成桥线形提出了更高的要求,需要对立模标高进行更加可靠的预测。传统的施工控制预测方法很难满足精度的要求,该文提出了通过灰色理论进行数据预处理,然后结合最小二乘支持向量机建立径向基核函数模型,对施工过程中悬臂端预拱度调整值进行预测,并与标准最小二乘支持向量机比较,以某一实际大跨度高速铁路连续梁桥为例,验证了灰色支持向量机应用于连续梁桥施工控制中的可行性和优越性。
With the rapid development of high-speed railway and the requirements for the construction of ballastless track bridges, continuous beam bridges constructed by cantilever casting put forward higher requirements on closing accuracy and alignment of the bridge, and more reliable prediction of the opposing mode elevation is required. The traditional method of construction control prediction is difficult to meet the requirements of accuracy. In this paper, the gray theory is used to preprocess the data, and then the least square support vector machine is used to establish the radial basis function model. Adjustment value, and compared with the standard least square support vector machine, taking a certain actual long-span high speed railway continuous girder bridge as an example, the feasibility and superiority of gray support vector machine in the construction control of continuous girder bridge are verified .