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Volume 29 Issue 9
Aug.  2021
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Article Contents
ZHANG Lihua, CAI Meifeng. Prediction of composite foundation settlement process based on a modified Poisson-superposition wavelet model[J]. Chinese Journal of Engineering, 2007, 29(9): 869-873. doi: 10.13374/j.issn1001-053x.2007.09.044
Citation: ZHANG Lihua, CAI Meifeng. Prediction of composite foundation settlement process based on a modified Poisson-superposition wavelet model[J]. Chinese Journal of Engineering, 2007, 29(9): 869-873. doi: 10.13374/j.issn1001-053x.2007.09.044

Prediction of composite foundation settlement process based on a modified Poisson-superposition wavelet model

doi: 10.13374/j.issn1001-053x.2007.09.044
  • Received Date: 2006-04-27
  • Rev Recd Date: 2006-11-22
  • Available Online: 2021-08-16
  • The model and method used to predict a composite foundation settlement process were studied. The characteristics of the modified Poisson model and its applicability were analyzed and a modified Poisson-superposition wavelet neural net model was proposed. Combined with practical observation data, the CFG pile composite foundation settlement process was analyzed and predicted. A comparison of the obtained theoretical results with those from the modified Poisson model was made. It is shown that the suggested model has better applicability and enables to predict with a higher accuracy, whose absolute error is less than 1mm.

     

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      沈陽化工大學材料科學與工程學院 沈陽 110142

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