Prediction of Cavitation Damage for Spillways
Publication: Journal of Hydraulic Engineering
Volume 122, Issue 9
Abstract
Cavitation damage on a spillway is a very complex process. Although much research about cavitation and the resulting damage has been conducted for more than 30 years, existing methods for predicting cavitation damage on spillways are incomplete. This inadequacy results from cavitation damage limits (none to major) that are not exact points and from the magnitude and interaction of many factors that influence the damage. Using fuzzy mathematics, a model has been developed to predict cavitation damage on a spillway. Four factors that contribute to the damage are considered: cavitation index; flow velocity; material strength; and operating time. Fuzzy mathematics is used to set up five different damage levels from none to major and a comprehensive prediction model. The model had been tested with data from the left and right tunnel spillways at Glen Canyon Dam. The tunnels were subjected to serious cavitation damage in 1983. Using the operating data from both spillways, the model predicted damage levels, locations, and times close to the observed damages.
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References
1.
Arndt, R. E. A., Holl, J. W., Bohn, J. C., and Bechtel, W. T.(1979). “Influence of surface irregularities on cavitation performance.”J. Ship Res., 23(3), 157–170.
2.
Bardossy, A., Bogardi, I., and Duckstein, L.(1990). “Fuzzy regression in hydrology.”Water Resour. Res., 26(7), 1497–1508.
3.
Bardossy, A., and Disse, M.(1993). “Fuzzy rule-based models for infiltration.”Water Resour. Res., 29(2), 373–382.
4.
Bellman, R. E., and Zadeh, L. A. (1987). “Decision-making in a fuzzy environment.”Fuzzy sets and applications: selected papers by L. A. Zadeh, Wiley-Interscience Publication, New York, N.Y., 53–79.
5.
Colgate, D. (1977). “Cavitation damage in hydraulic structures.”Int. Conf. on Wear of Mat., ASME, New York, N.Y., 433–438.
6.
Design standard about concrete gravity dam. (1979). Hydr. and Electric Power Ministry of P.R. China, Hydraulic and Electric Power Publishing House, Beijing, P.R. China.
7.
Dubois, D., and Prade, H. (1980). Fuzzy sets and systems theory and applications . Academic Press, New York, N.Y.
8.
Falvey, H. T. (1990). Cavitation in chutes and spillways . Engrg. Monograph No. 42, Bureau of Reclamation, U.S. Dept. of Interior, Denver, Colo.
9.
Frizell, K. W. (1985). “Spillway tests at Glen Canyon Dam.” U.S. Dept. of the Interior, Engrg. and Res. Ctr., Bureau of Reclamation, Denver, Colo.
10.
Jansen, R. B. (1988). Advanced dam engineering for design, construction and rehabilitation . Van Nostrand Reinhold, New York, N.Y.
11.
Knapp, R. T., Daily, J. W., and Hammitt, F. G. (1970). Cavitation . McGraw-Hill Book Co., Inc., New York, N.Y.
12.
Lichtman, J. Z. (1956). “Resistance of various materials to cavitation damage.”Rep. of 1959 Cavitation Symp., ASME, New York, N.Y., 20.
13.
Prakash, A.(1992). “Design-basis flood for rehabilitation of existing dams.”J. Hydr. Engrg., ASCE, 118(2), 291–305.
14.
Wang, P. Z. (1983). Fuzzy set and its application . Shanghai Scientific and Technical Publishing House, Shanghai, P.R. China.
15.
Wang, X. R., and Chou, L. T. (1979). “The method of calculation of controlling (or treatment) criteria for the spillway surface irregularities.”Proc., 13th Int. Congr. of Large Dams, Int. Com. on Large Dams, Paris, Q50, R56, 977–1012.
16.
Zimmerman, H. J. (1987). Fuzzy sets, decision making, and expert systems . Kluwer Academic Publishers, Boston, Mass.
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Copyright © 1996 American Society of Civil Engineers.
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Published online: Sep 1, 1996
Published in print: Sep 1996
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