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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 64
COMPUTATIONAL ENGINEERING USING METAPHORS FROM NATURE Edited by: B.H.V. Topping
Paper I.10
Neural Network Predictive Tools for Settlement Responses Due to Long-Term Dewatering Activities A.W. Sadek, F. El-Nahhas and A. El-Shenawy
Engineering Division, Kuwait Institute for Scientific Research, Safat, Kuwait A.W. Sadek, F. El-Nahhas, A. El-Shenawy, "Neural Network Predictive Tools for Settlement Responses Due to Long-Term Dewatering Activities", in B.H.V. Topping, (Editor), "Computational Engineering using Metaphors from Nature", Civil-Comp Press, Edinburgh, UK, pp 65-70, 2000. doi:10.4203/ccp.64.1.10
Abstract
The present paper reports an application of the neural
network technique to predict ground settlement as occasioned
by dewatering activities of a long-term large-scale drainage
project. For this purpose, neural networks to estimate
settlement values in the vicinity of the pumping wells are
developed. The effect of soil characteristics on settlement
responses is considered by including the average standard
penetration test number SPTN in the input nodes of the
network. A long-term index is synthesized and included in
the input nodes to account for time-dependent factors such as
leaching potential, clay content and consolidation.
Two alternative approaches are proposed for the drawdown-settlement network application. The present cited application of neural network to predict ground settlement has proven invaluable in view of the complex relationship between drawndowns and settlements. purchase the full-text of this paper (price £20)
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