Estimation of consolidation settlement caused by groundwater drawdown using artificial neural networks

Advances in Engineering Software

Volumn 34, Issue 9, 2003, Pages 559-568

  Kerh, T ^a   Hu, Y G ^a   Wu, C H ^a  

^a NATIONAL PINGTUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Back propagation neural networks; Consolidation settlement; Groundwater drawdown; Kaohsiung mass rapid transit

Indexed keywords

BACKPROPAGATION; COMPRESSIBILITY; CONSOLIDATION; CORRELATION METHODS; GROUNDWATER; STATISTICAL TESTS; TUNNELING (EXCAVATION);

CORRELATION COEFFICIENTS;

NEURAL NETWORKS;

EID: 0042631019     PISSN: 09659978     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-9978(03)00053-X     Document Type: Article

References (21)

1. Kerh T., Chu D. Neural networks approach and microtremor measurements in estimating peak ground acceleration due to strong motion. Adv Engng Software. 33:2002;733-742.
2. Boring test report on major sections of red line, KMRT. Bureau of Kaohsiung Mass Rapid Transit. vol. 1:1991;. pp. 1-202.
3. Chang KR, Lin ML. Analysis of consolidation settlement caused by withdrawing of multi-well water at Meiliao area. Master Thesis of Civil Engineering, National Taiwan University, Taiwan; 1999.
4. Duh FL, Lue CJ. A study on the problem of consolidation settlement due to withdrawing of water. Master Thesis of Civil Engineering, Chung Fua University, Taiwan; 1992.
5. Adeli H. Neural networks in civil engineering: 1989-2000. Comput-Aided Civil Infrastruct Engng. 16:2001;126-142.
6. Arslan A., Ince R. Neural network-based design of edge-supported reinforced concrete slabs. Struct Engng Rev. 8:1996;329-335.
7. Bodri L. Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Adv Engng Software. 31:2000;311-321.
8. Flood I., Kartam N. Neural networks in civil engineering ii: systems and applications. J Comput Civil Engng. 8:1994;149-162.
9. Flood I., Kartam N. Neural networks in civil engineering i: principles and understanding. J Comput Civil Engng. 8:(2):1994;131-148.
10. Liong S.Y., Lim W.H., Paudyal G.N. River stage forecasting in Bangladesh: neural network approach. J Comput Civil Engng. 14:(1):2000;1-8.
11. Pandey P.C., Barai S.V. Multilayer perceptron in damage detection of bridge structures. Comput Struct. 54:(4):1995;597-608.
12. Tsai C.P., Lee T.L. Back-propagation neural network in tidal-level forecasting. J Waterway Port, Coastal, Ocean Engng. 125:(4):1999;195-202.
13. Zeng P. Artificial neural network computing in structural engineering. Topping B.H.V. Developments in neural networks and evolutionary computing for Civil and Structural Engineering. 1995;37-50 Civil-Comp Press, Edinburgh.
14. Hirose Y., Yamashita K., Hijiya S. Back-propagation algorithm which varies the number of hidden units. Neural Networks. 4:1991;61-66.
15. Villiers J., Barnard E. Back-propagation neural nets with one and two hidden layers. IEEE Trans Neural Networks. 4:(1):1993;136-141.
16. Waszczyszyn Z. Some new results in application of back propagation neural networks in structural and civil engineering. Topping B.H.V. Advances in engineering computational technology. 1998;173-187 Civil-Comp Press, Edinburgh.
17. Terzaghi K. Theoretical soil mechanics. 1943;Wiley, New York.
18. Das B.M. Advanced soil mechanics. 1998;Taylor and Francis, USA. p. 399-453.
19. Das B.M. Principles of soil dynamics. 1992;Pws-Kent Publishing Company, USA. p. 301-455.
20. Huang YS, Tsai KJ, Wang HY. Analysis of potential geological disaster at the red line sections of Kaohsiung mass rapid transit system. Master Thesis of Civil Engineering, National Pingtung University of Science and Technology, Taiwan; 2001.
21. Kerh T., Chen L.Y., Lee J.H. Analysis of soil distribution and period measurement along the main lines of Kaohsiung mass rapid transit. J Civil Engng Technol. 4:1996;81-100.