摘要
圆形基坑的变形规律与矩形基坑有显著不同。武汉阳逻长江公路大桥南锚碇基坑工程采用圆形方案。施工期间,为了掌握基坑的变形情况和安全状态,从基坑开挖至底板浇筑结束,在变形监测基础上应用 BP人工神经网络对该基坑地下连续墙的水平位移进行了多步滚动预测。预测结果表明,各孔墙体变形的预测值和实测值基本接近,预测结果的误差基本控制在许可范围之内。
The rule of deformation of round and deep foundation pit is significantly different from that of rectangular foundation pit. For the south anchorage of Wuhan Yangluo Changjiang River Highway Bridge, the round foundation pit is used. To keep informed of the deformation and safety conditions of the pit during excavation construction, in addition to the regular monitoring of the pit deformation, the BP artificial neural network is also applied to predict in multiple steps the horizontal displacement of the diaphragm walls in the pit from the start of the excavation to the end of bottom slab concreting. The predictions and the measurements indicate that the prediction values of all diaphragm wall deformation are close to the actual measurement values on the whole, and the tolerances of the prediction results are still controlled within the allowable range.
出处
《世界桥梁》
北大核心
2005年第1期40-42,56,共4页
World Bridges