拓宽路基下软土地基工后沉降预测

Settlement prediction of soft subgrade under broaden embankment

拓宽路基荷载作用下的软土地基工后沉降是导致高速公路改扩建工程相关病害的主要原因之一。为了准确掌握软土地基的固结沉降状态及工后沉降值,为差异沉降控制手段的设计和动态施工提供依据和指导,建立了考虑蠕变的软土地基沉降模型;基于高速公路改扩建工程现场沉降监测资料,运用3层BP神经网络方法反演了计算模型的计算参数,并在此基础上运用有限元软件对拓宽路基的工后沉降作出预测。研究结果表明,实测沉降值与有限元计算沉降值的曲线基本吻合。

The settlement of the soft ground under embankment load after highway reconstruction is one of the main reasons that lead to related diseases of highway extension project. In order to accurately grasp the state of soft soil consolidation settlement and post-settlement value which can provide a basis and guidance to differential settlement control means for the design and dynamic construction, this paper established soft ground subsidence model which take into account creep, based on widened field settlement monitoring data by using three-layer BP neural network inverse model for calculating the material parameters, and on this basis, forecasted post-construction settlement of widening roadbed, compared with the actual monitoring results. The results show that the measured sedimentation value and the finite element method settlement value are basically consistent. 1 tab, 5 figs, 14 refs.