Current Science

Open Access Open Access  Restricted Access Subscription Access

Full-Parameter Optimization to Locate Multi-Passage-Seepage in Abutment Using Groundwater Temperature


Affiliations
1 North China University of Water Resources and Electric Power, Zhengzhou, 450011, India
2 Henan Geology and Mineral Construction Engineering Group Co LTD, Zhengzhou, 450007, India
 

With groundwater temperature, hybrid-genetic algorithm is employed to locate multi-passage concentrated seepage underground to increase the probability of optimal global solutions, calculation efficiency and precision. The parameters of concentrated seepage passages (CSPs) indicated initially by the previous optimization and attraction basins of modified temperature residuals are evaluated again by the proposed full parameter optimization. The smaller CSP impacts on the stronger are eliminated, since all the parameters associated with all the CSPs are calculated by the last one-off optimization. In this case, three optimization steps are implemented with crossover fractions of 0.8, 0.5 and 0.45 (0.3), and the modified resultant residuals are 13.441, 2.27 and 0.7 individually. Results of this method are more effective compared to those from other methods and actual applications.

Keywords

Abutment, Dam Safety, Hybrid-Genetic Algorithm, Geothermal Temperature, Seepage.
User
Notifications
Font Size

  • Wang, X. J. and Pan, J. S., Location detection of concentratedseepage passages in dam by groundwater temperature. Chin. J. Geotech. Eng., 2010, 32(11), 368–374.

  • Dong, H. Z., Liu, Y. X. and Zhang, Y., Finite long heat source model of piping in dam and experiment. Chin. J. Hydraul., 2012, 43(8), 1004–1008.

  • Dong, H. Z., Lou, R. H. and Zhang, L., Study on doubleconcentratedleakage passage heat conduction model and retrieval of velocity in dam basement. J. Sichuan Univ., 2012, 44(3), 36– 41.

  • Dong, H. Z., Kou, D. W. and Peng, H. Y., Computational model for dam leakage velocity in concentrated passage based on distributed optic fiber temperature sensing system. Chin. J. Geotech. Eng., 2013, 35(9), 1717–1721.

  • Dong, H. Z. and Zhang, X. Y., Seepage cylindrical heat source model of dam and experimental study. Chin. J. Rock Mech. Eng., 2011, 30(s2), 3665–3671.

  • Wang, X. J. and Chen, J. S., Research of temperature tracer method to detect tubular leakage passage in earth-dam. J. China Univ. Min. Technol., 2006, 16(3), 353–358

  • Wang, X. J. and Li, R. Y., Research on detecting multi-passage leakage in dam by temperature in bores. Adv. Mater. Res., 2012, 46–49, 1959–1962.

  • Wang, X. J., Li, R. Y. and Chen, J. S., Concentrated-leakage detection by emulation of temperature field. Appl. Mech. Mater., 2012, 224, 93–96.

  • Chen, J. S., Fan, Z. C. and Dong, H. Z., Detecting the damdetouring seepage passage in the left dam abutment of douhe reservoir with the method of heat source. Hydrogeol. Eng. Geol., 2006, 5, 61–65.

  • Dong, H. Z. and Chen, J. S., Model research of heat source method by using water temperature distribution in borehole to determine seepage velocity of dyke. Hydrogeol. Eng. Geol., 2003, 5, 40–43.

  • Chen, L., Wu, Y. and Chen, J. S., Study on temperature field inverse analysis and experiment of concentrated seepage passage in dam base. J. East China Inst. Technol., 2007, 30(4), 354–257.

  • Wang, X. J., Tong, H. B. R. and Li, Y., Locating the plane concentrated seepage in dam by transient temperature field. In Progress on Mine Safety Science and Engineering, First Int. Symposium Mine Safety Science and Engineering A, Beijing, 2011, pp. 1749–1755.

  • Wang, X. J., Zhu, D. L. and Pan, J. S., Locating concentrated seepage pipes in dam with temperature global optimization. J. Eng. Geol., 2015, 23(2), 335–343.

  • Wang, X. J., Li, R. Y. and Wei, S. M., Substep simulated annealing to locate multiple concentrated seepage passages in dams using ground temperature. E-J. Geotech. Eng., 2015, 20(15), 6603–6614.

  • Abu-Reesh, M. I. and Alnaizy, R., Optimal design of multi-stage bioreactors performing wastewater treatment using the MATLAB optimization. Int. J. Environ. Eng., 2015, 6(4), 403–415.

  • Dadashi, E., Ahangari, K., Noorzad, A. and Arab, A., Support system suggestion based on back-analysis results case study: Babolak water conveyance tunnel. Arab. J. Geosci., 2012, 5(6), 1297– 1306.

  • Fernandes, F. P., Costa, M. F. P. and Fernandes, E. G. P., A derivativefree filter driven multistart technique for global optimization. Comput. Sci. Appl., Lecture Notes Comput. Sci., 2012, 7335, 103–118.

  • Takbiri, Z. and Afshar, A., Multi-objective optimization of Fusegates system under hydrologic uncertainties. Water Resour. Manage., 2012, 26(8), 2323–2345.


Abstract Views: 280

PDF Views: 123




  • Full-Parameter Optimization to Locate Multi-Passage-Seepage in Abutment Using Groundwater Temperature

Abstract Views: 280  |  PDF Views: 123

Authors

Xinjian Wang
North China University of Water Resources and Electric Power, Zhengzhou, 450011, India
Wei Wang
Henan Geology and Mineral Construction Engineering Group Co LTD, Zhengzhou, 450007, India

Abstract


With groundwater temperature, hybrid-genetic algorithm is employed to locate multi-passage concentrated seepage underground to increase the probability of optimal global solutions, calculation efficiency and precision. The parameters of concentrated seepage passages (CSPs) indicated initially by the previous optimization and attraction basins of modified temperature residuals are evaluated again by the proposed full parameter optimization. The smaller CSP impacts on the stronger are eliminated, since all the parameters associated with all the CSPs are calculated by the last one-off optimization. In this case, three optimization steps are implemented with crossover fractions of 0.8, 0.5 and 0.45 (0.3), and the modified resultant residuals are 13.441, 2.27 and 0.7 individually. Results of this method are more effective compared to those from other methods and actual applications.

Keywords


Abutment, Dam Safety, Hybrid-Genetic Algorithm, Geothermal Temperature, Seepage.

References





DOI: https://doi.org/10.18520/cs%2Fv120%2Fi7%2F1233-1240