Non-destructive pile testing and data analysis at Bothkennar

被引:0
|
作者
Watson, JN [1 ]
Wan, CL [1 ]
Fairfield, CA [1 ]
机构
[1] Napier Univ, Sch Built Environm, Edinburgh EH10 5DT, Midlothian, Scotland
关键词
civil engineering; foundations; piles; neural networks; sonic echo; condition monitoring;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
An artificial neural network-based system and its use in processing data from traditional non-destructive sonic echo tests on installed concrete foundation piles is described. The piles tested formed part of the EPSRC's soft clay test site at Bothkennar. The neural network pile profile predictions are compared to the design/as-build profiles. Finite element analysis-based predictions of the piles' shapes are also provided. The neural network gave sensible results for field test data upon which it had not been trained. The derived pile lengths for piles tested at Bothkennar were correct to +/-5%. The derived pile, radii were correct to +/-20%. This error was predominantly due to errors in modelling the pile head where th surrounding soil's effect on the pile head's dynamic stiffness influenced the system response.
引用
收藏
页码:462 / 466
页数:5
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