Subscribe Now Subscribe Today
Research Article

Reliability Optimization of Barrier Lake Disposal Based on Engineering and Cost

Wang Shaoyu, Li Qiang, Huang Xing, Bai Hua and Jia Jing
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

To improve the ability of risk disposal of major barrier lakes, the research on reliability of barrier lake disposal was carried on. Through the analysis of basic characteristics on barrier lake disposal and the assessment on optimal reliability of disposal system, series-parallel logical structure was proposed to improve the reliability. And then the optimal reliability for series-parallel system of composition unit and disposal system was proposed in the progress of project and the constraint of economic cost. In comprehensive consideration of importance and complexity of the distribution unit, first optimized system unit which did not meet the expected reliability index was optimized again to improve the disposal system reliability and this provide a reference for disposal of major barrier lake in the future.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

Wang Shaoyu, Li Qiang, Huang Xing, Bai Hua and Jia Jing, 2013. Reliability Optimization of Barrier Lake Disposal Based on Engineering and Cost. Information Technology Journal, 12: 7651-7655.

DOI: 10.3923/itj.2013.7651.7655


Cai, K.Y., C.Y. Wen and M.L. Zhang, 1991. Fuzzy variables as a basis for a theory of fuzzy reliability in the possibility context. Fuzzy Sets Syst., 42: 145-172.
CrossRef  |  

Chauhan, S.S., D.S. Bowls and L.R. Anderson, 2004. Do current breach parameter estimation techniques provide reasonable estimates for use in breach modeling. Proceeding of the Association of State Dam Safety Officials, Volume 1, July 2004, Phoenix, AZ., pp: 11-25.

Cooman, G., 1996. On modeling possibilistic uncertainty in two-state reliability theory. Fuzzy Sets Syst., 83: 215-238.

Dai, G.X. and Q.L. Da, 2000. Resources combination problems of emergency scheduling. Syst. Eng. Theory Pract., 9: 52-53.

Li, Q., S. Wang and X. Huang, 2013. Evaluation model of landslide lake risk disposal based on CFNN. J. Applied Sci., 13: 1746-1752.
CrossRef  |  Direct Link  |  

Liu, N., 2008. The emergency handling of tangjiashan barrier lake and disaster reduction management project. Eng. Sci., 12: 67-72.
Direct Link  |  

Mandrone, G., A. Clerici and C. Tellini, 2007. Evolution of a landslide creating a temporary lake: Successful prediction. Quat. Int., 171-172: 72-79.
CrossRef  |  

Mirsa, K.B. and K.P. Soman, 1995. Multi state fault tree analysis using fuzzy probability vectors and resolution identity. Reliab. Saf. Anal. Fuzziness, 4: 113-125.
CrossRef  |  Direct Link  |  

Singer, D., 1990. A fuzzy set approach to fault tree and reliability analysis. Fuzzy Sets Syst., 34: 145-155.
CrossRef  |  Direct Link  |  

Tanaka, H., L.T. Fan, F.S. Lai and K. Toguchi, 1983. Fault-tree analysis by fuzzy probability. IEEE Trans. Reliab., R-32: 453-457.
CrossRef  |  Direct Link  |  

Wang, G.Y. and D.Y. Tan, 1990. The optimum reliability decisions of engineering system. Eng. Mech., 2: 18-26.

Zhang, J.X., 2009. Hydrologic analysis and emergency application of barrier lake breaking. Ph.D. Thesis, Tsinghua University, China.

©  2020 Science Alert. All Rights Reserved