Tracing of large branched pipeline hydraulic networks of high optimality rank with graph presentation

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Abstract

The paper deals with a tracing technique for large branched pipeline hydraulic networks of the high optimality rank. The novelty of the method is that while increasing the optimization rank of the designed networks, the redundant graph of possible connections between nodes is dynamically reduced. In this case, the redundant graph of the follow-up rank is formed from previous networks rank. The method provides a computer solution to the problem of tracing of large networks containing more than one hundred nodes of the seventh optimality rank. The system is developed for large pipeline networks design of regional and interregional pipe distribution network (PDN) for irrigation purpose.

About the authors

Mukhammed B. Abazokov

Institute of Applied Mathematics and Automation - branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Email: Abazokov.Mukhammed@yandex.ru
ORCID iD: 0000-0002-6847-403X

Junior Researcher

Russian Federation, 360000, Russia, Nalchik, 89 A Shortanov street

Valery Ch. Kudaev

Institute of Applied Mathematics and Automation - branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences

Author for correspondence.
Email: vchkudaev@mail.ru
ORCID iD: 0000-0002-8313-4199

Ph.D., Leading Researcher

Russian Federation, 360000, Russia, Nalchik, 89 A Shortanov street

References

  1. Bulatov V.P., Kassinskaya L.I. Some methods for minimizing a concave function on a convex polyhedron. Metody optimizatsii i ikh prilozheniya [Optimization Methods and Applications]. Irkutsk: SEI SO AN USSR, 1987. Pp. 151-172. (In Russian)
  2. Antsiferov E.G., Ashchepkov L.T., Bulatov V.P. Metody optimizatsii i ikh prilozheniya. CH. 1. Matematicheskoye programmirovaniye [Methods of optimization and their applications. Part 1. Mathematical programming]. Novosibirsk: Nauka, 1990. 158 p. ISBN 5-02-029658-9. (In Russian)
  3. Trubin V.A., Mikhalevich V.S., Shor N.Z. Optimizatsionnyye zadachi proizvodstvenno-transportnogo planirovaniya [Optimization problems of production and transport planning]. Moscow: Nauka, 1986. 260 p. (In Russian)
  4. Merenkov A.P., Sennova E.V., Sumarokov S.V. et al. Matematicheskoye modelirovaniye i optimizatsiya sistem teplo-, vodo-, nefte- i gazosnabzheniya [Mathematical modeling and optimization of heat, water, oil and gas supply systems]. Novosibirsk: Nauka, 1992. 407 p. (In Russian)
  5. Tui H. Concave programming under linear constraints. Doklady AN SSSR. 1964. Vol. 159. No. 1. Pp. 32-35. (In Russian)
  6. Kudaev V.Ch., Abazokov M.B. Rank optimization of streaming networks. Vestnik KRAUNC. Phys.-Math. Sciences. 2018. No. 4(24). Pp. 178-185. doi: 10.18454/2079-6641-2018-24-4-178-185. (In Russian)
  7. Kudaev V.Ch., Abazokov M.B. Computer design of flow networks of P-th rank of optimality. News of the Kabardino-Balkarian Scientific Center of RAS. 2019. No. 6(92). Pp. 122-131. doi: 10.35330/1991-6639-2019-6-92-122-131. (In Russian)
  8. Kudaev V.Ch., Abazokov M.B. Cluster optimization of high-rank optimality of flow networks. Vestnik KRAUNC. Phys.-Math. Sciences. 2021. Vol. 37. No. 4. Pp. 104-118. doi: 10.26117/2079-6641-2021-37-4-104-118. (In Russian)
  9. Kudaev V.Ch. Ranks of extremums and structural optimization of large network systems. News of the Kabardino-Balkarian Scientific Center of RAS. 2016. No. 4(72). Pp. 15-24. (In Russian)
  10. Nekrasova O.A., Khasilev V.Ya. Optimal tree of a pipeline system. Ekonomika i matematicheskiye metody [Economics and Mathematical Methods]. 1970. Vol. 4. No. 3. Pp. 427-432. (In Russian)
  11. Abramov N.N., Pospelova M.M., Somov M.A. et al. Raschet vodoprovodnykh setey [Calculation of water supply networks]. Moskow: Stroyizdat, 1983. 278 p. (In Russian)
  12. Abazokov M.B., Bagov M.A., Kudaev V.Ch. Computer design of large pipeline networks of high optimality rank. Doklady AMAN. 2022. No. 4. Vol. 22. Pp. 39-56. DOI: https://doi.org/ 10.47928/1726-9946-2022-22-4-39-56. (In Russian)

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