TECHNICAL PAPERS
May 6, 2009

Monitoring and Analysis of Shanghai Pudong Seawall Performance

Publication: Journal of Performance of Constructed Facilities
Volume 23, Issue 6

Abstract

Local government built the monitoring project to know seawall performance and ensure its safety in Shanghai Pudong New Area. Up to now, monitoring data of some important monitoring items including tidewater level, seepage pressure, rainfall, wave, deformation, etc., have been collected. The monitoring system is introduced here. Furthermore, the data analysis methods have been studied particularly because the seawall works in a complex special environment. The rules and relationship within seepage pressure, tidewater, and rainfall are presented, and the time distance between tidewater and seepage pressure curves are confirmed by statistical distance analysis. To do quantificational analysis of seawall performance, two methods based on statistical theory and general regression neural network are used to establish monitoring models considering the main effect factors. Instances show the models can achieve good fitting and forecasting results of seawall seepage pressure. Application experiences are also presented.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. NNSFC50979056). The writers thank Shanghai Pudong New Area Sea Wall Administration for his invitation to participate in the monitoring project and providing monitoring data of Pudong seawall.

References

Draiper, N. R., and Smith, H. (1981). Applied regression analysis, 2nd Ed., Wiley, New York.
Everitt, B. S. (2002). The Cambridge dictionary of statistical, 2nd Ed., Press Syndicate of the Univ. of Cambridge, Cambridge, U.K.
Huang, M. (2008). Mathematical models and engineering safety monitoring, Shanghai Jiaotong University Press, Shanghai, China.
Huang M., Ge X. R., and Wang H. (2001). “Applications of gray model in linear deformation measurement of rock mass.” Chin. J. Rock. Mech. Eng., 20(2), 235–238.
Huang, M., and Li, Z. Z. (1999). “Research on dam space displacement monitoring model and confidence region.” Proc., ’99 Int. Conf. on Dam Safety and Monitoring, China Book Press, Beijing, 454–457.
Huang, M., Liu, J., Huang, W., and Dai, Q. H. (2006). “Analysis of sea wall osmosis pressure’s influencing factors and monitoring models.” Proc., Advances in Earth Structures: Research to Practice, Sessions of Geoshanghai, ASCE, Reston, Va., 310–316.
Kulkarni, S. G., Chaudhary, A. K., Nandi, S., Tambe, S. S., and Kulkarni, B. D. (2004). “Modeling and monitoring of batch processes using principal component analysis (PCA) assisted generalized regression neural networks (GRNN).” Biochem. Eng. J., 18, 193–210.
Li, Z. Z. (1997). Dam safety monitoring, China Electric Power Press, Beijing.
Miller, A. J. (2002). Subset selection in regression, 2nd Ed., Chapman & Hall, New York.
Ovunc, P., and Tulay, Y. (2007). “Genetic optimization of GRNN for pattern recognition without feature extraction.” Expert Sys. Applic., 34(4), 2444–2448.
Pan, X., Huang, M., and Wang, Y. W. (2006). “The time series model of sea wall osmotic pressure monitoring analysis.” Rock Soil Mech., 27(8), 1374–1378.
Pettit, S. J. (1999). “The statutory approach to coastal defence in England and Wales.” Marine Policy, 23(4–5), 465–477.
Specht, D. F. (1991). “A general regression neural network.” IEEE Trans. Neural Netw., 2(6), 568–576.
Warrick, A. W. (2002). Soil physics companion, CRC, Boca Raton, Fla.
Yang G., He X. F., Hu P., Dai Q. H., and Xu Y. (2003). “Development of information system of seawall safety monitoring in Pudong.” Water Power, 29(9), 62–64.
Zhou Y. (2006). “Deformation behavior analysis for horizontal displacement of flood sluicing Section 2 of Three Gorges Dam.” Hydropower Automation and Dam Monitoring, 30(2), 55–74.

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Published In

Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 23Issue 6December 2009
Pages: 399 - 405

History

Received: Dec 27, 2008
Accepted: Apr 28, 2009
Published online: May 6, 2009
Published in print: Dec 2009

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Authors

Affiliations

Ming Huang, Ph.D. [email protected]
Professor, School of Civil and Hydraulic Engineering, Hefei Univ. of Technology, Tunxi Road No. 193, Hefei, Anhui 230009, People’s Republic of China (corresponding author). E-mail: [email protected]
Jun Liu, Ph.D. [email protected]
Associate Professor, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong Univ., 800 Dong Chuan Road, Shanghai 200240, People’s Republic of China. E-mail: [email protected]

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