摘要
文章采用人工神经网络的方法,使用桥梁测试的历史数据构造BP神经网络模型,建立斜拉桥索力之间的映射关系,根据这种映射关系,可以通过对部分桥索受力的检测,得到其余桥索的索力。最后在位于长江上的某座斜拉桥上对该方法进行了验证。
During the process of management and maintenance of the cable-stayed bridge,it's very important to pre-cisely and timely grasp the situation of cable stress.As far as people know,it's hard to finish the work in the traditional way.In the paper,it makes a BP neural network as a model which is based on the real data from the cable-stayed bridge.With the help of the model,it can gain the stress about all of the cables through finding out the stress about the finite ones.Finally,it applies the technique to a cable-stayed bridge across the Changjiang River,and gets a encour-aging result.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第28期227-229,共3页
Computer Engineering and Applications
基金
国家973重大基础研究项目"大规模科学计算软件的理论与实施"资助(编号:G1999032805)
关键词
BP神经网络
桥梁检测
斜拉索受力
斜拉桥
BP neural network,Bridge survey,Cable stress,Cable-stayed bridge
