【摘要】 以温福铁路鳌江特大桥为工程背景,应用有限元分析软件建立该桥理论计算模型并进行桥梁的结构分析。对线形控制,应用BP神经网络法对施工控制的标高进行预测。计算结果和现场实测结果表明,该方法提高了线形预测的精度;对实测应变进行修正,剔除了实测应变中的非应力应变,以更好掌握桥梁施工中的实际受力状态。更多还原

【Abstract】 Based on the engineering background of the Aojian Bridge on Wen-Fu railway transport,the calculation model was established by commercial finite element software and the bridge structure was analyzed.Experiences and the least squares method were widely used in line shape control.The elevation was forecast by using the BP neural network technique.The forecast results show that the proposed method can improve forecast accuracy of the alignment.In order to eliminate the non-stress strains from measured strains,the measured strains were modified so as to reflect the actual forced state better,and which has guiding significance for safe bridge construction.更多还原