关键词: 基坑变形, 工程安全, 预测研究, 小波神经网络, 参数优化

Abstract: In order to solve the ubiquitous problems on cable-stayed bridge’s loading test which are expensive cost and long testing time, this paper builds a practical cable-stayed bridge’s finite element model, analyzes the mechanics characteristics of cable-stayed bridge, and puts forward a method of loading test conditions’ merging. Finally, Dezhou bridge’s loading tests are finished with the merging method. The research results show that for cable-stayed bridges, beam maximum moment condition and beam maximum deflection condition can combine into one condition; and tower maximum moment condition and top tower horizontal displacement can combine into one condition. The merging method can be applied to practical bridge’s loading test and can popularize to other long-span bridge type’s loading test. In summery, the research result has a wide application prospect.

Key words: pit deformation, engineering safe, predict research, wavelet neural network, parameter optimization