Research for Settlement Prediction on the Based of Neural Network and ADINA
It is important geotechnical problem to consolidation of soft soil foundation. Three-dimensional finite element model is established on the based of Biot consolidation theory, the model is loaded and calculated on the based of considering lateral deformation and spatial seepage, elastic-plasticity character of soil, construction stage loading progress etc. ANN has the advantages of selforganizing, adaptive identifying, self-studying and being tolerant towards errors, and is trained and tested by the data sample to back analysis parameter of soft soil foundation, and then the settlement prediction model is established by finite element method, prediction data compare with measured data, the result indicate that the model can give a precise forecast and is rationality. The method can provide the reference for the construction.
neural network finite element method settlement prediction embankment back analysis
Meng Deguang Zhu Tianzhi Li Bingxin Dong Yanying
Dept of Civil Engineering, Hebei Normal University of Science & Technology (HBNUST), Qinhuangdao 066004, China
国际会议
重庆
英文
1086-1089
2009-12-25（万方平台首次上网日期，不代表论文的发表时间）