{"id":8174,"date":"2026-03-22T14:30:05","date_gmt":"2026-03-22T14:30:05","guid":{"rendered":"https:\/\/izvestiyakbncran.ru\/?page_id=8174"},"modified":"2026-03-25T10:17:10","modified_gmt":"2026-03-25T10:17:10","slug":"25-4-3-en","status":"publish","type":"page","link":"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-4-3-en\/","title":{"rendered":"25.4.3 En"},"content":{"rendered":"\n<h1 class=\"wp-block-heading has-lora-font-family\" style=\"font-size:22px\"><strong>Tracing of large branched pipeline hydraulic networks of high optimality rank with graph presentation<\/strong><\/h1>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-f24c7b1aeca7f4792b3168b4398c04db\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><strong>M.B. Abazokov, V.Ch. Kudaev<\/strong><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-86b70c892ee51d64e6bf0730e3274f25\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\"><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" style=\"margin-top:var(--wp--preset--spacing--20);margin-bottom:var(--wp--preset--spacing--20)\"\/>\n\n\n\n<div class=\"wp-block-group is-nowrap is-layout-flex wp-container-core-group-is-layout-d3328a80 wp-block-group-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-bottom:var(--wp--preset--spacing--20)\">\n<p class=\"has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-fa99f84d8051eb763ab85c3007cdb1c2\" style=\"color:#5b1919;text-decoration:underline\"><strong><strong>Upload the full text<\/strong><\/strong><\/p>\n\n\n\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-9151b400 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:0;padding-bottom:0\">\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-15bf754d wp-block-buttons-is-layout-flex\" style=\"margin-top:0;margin-bottom:0;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-100 is-style-outline is-style-outline--1\"><a class=\"wp-block-button__link has-background-background-color has-text-color has-background has-link-color has-border-color has-small-font-size has-custom-font-size wp-element-button\" href=\"http:\/\/izvestiyakbncran.ru\/wp-content\/uploads\/2026\/03\/3-m.-b.-abazokov-v.-ch.-kudaev.pdf\" style=\"border-color:#5b1919;border-style:solid;border-width:2px;border-radius:8px;color:#5b1919;padding-top:0.4rem;padding-right:var(--wp--preset--spacing--40);padding-bottom:0.4rem;padding-left:var(--wp--preset--spacing--40)\">PDF<\/a><\/div>\n<\/div>\n\n\n\n<div style=\"height:0px;width:0px\" aria-hidden=\"true\" class=\"wp-block-spacer wp-container-content-273e683f\"><\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-7f95a5c6e4b9bc0d309925e3e7b22d8c\" style=\"line-height:1.4\"><em><strong><strong>Abstract<\/strong>:<\/strong> <\/em>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.<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-bf07b3e643603339d1352f7599ebfe47\" style=\"line-height:1.4\"><strong><em><strong>Keywords<\/strong>:<\/em><\/strong> pipeline flow network, computer design, tracing, dynamic graph of possible connections of network nodes, dimension reduction, optimality rank increase<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-df03325adc83c022634de6b79d43432f\" style=\"line-height:1.4\"><\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-2243c08958827295b4bb65835b618630\" style=\"font-size:12px;line-height:1.4\"><strong><strong>For citation<\/strong>.<\/strong> Abazokov M.B., Kudaev V.Ch. Tracing of large branched pipeline hydraulic networks of high optimality rank with graph presentation. News of the Kabardino-Balkarian Scientific Center of RAS. 2023. No. 4(114). Pp. 39\u201354. DOI: 10.35330\/1991-6639-2023-4-114-39-54<\/p>\n\n\n\n<p class=\"has-foreground-color has-text-color has-link-color has-lora-font-family wp-elements-17c3333a0b1db39b7fa4a3e1a1572bc4\" style=\"font-size:12px;line-height:1.4\"><\/p>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-31598f23de67f3f01c892af0ddb02b60 is-layout-flow wp-container-core-details-is-layout-0ab540ad wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>R<\/strong>eferences<\/summary>\n<ol style=\"margin-top:0;margin-bottom:0\" class=\"wp-block-list\">\n<li style=\"font-style:normal;font-weight:400\">Bulatov V.P., Kassinskaya L.I. Some methods for minimizing a concave function on a convex polyhedron. <em>Metody optimizatsii i ikh prilozheniya<\/em> [Optimization Methods and Applications]. Irkutsk: SEI SO AN USSR, 1987. Pp. 151\u2013172. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Antsiferov E.G., Ashchepkov L.T., Bulatov V.P. Metody optimizatsii i ikh prilozheniya. CH. 1. <em>Matematicheskoye programmirovaniye<\/em> [Methods of optimization and their applications. Part 1. Mathematical programming]. Novosibirsk: Nauka, 1990. 158 p. ISBN 5-02-029658-9. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Trubin V.A., Mikhalevich V.S., Shor N.Z. <em>Optimizatsionnyye zadachi proizvodstvennotransportnogo planirovaniya<\/em> [Optimization problems of production and transport planning]. Moscow: Nauka, 1986. 260 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Merenkov A.P., Sennova E.V., Sumarokov S.V. et al. <em>Matematicheskoye modelirovaniye i optimizatsiya sistem teplo-, vodo-, nefte- i gazosnabzheniya<\/em> [Mathematical modeling and optimization of heat, water, oil and gas supply systems]. Novosibirsk: Nauka, 1992. 407 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Tui H. Concave programming under linear constraints. <em>Doklady AN SSSR<\/em>. 1964. Vol. 159. No. 1. Pp. 32\u201335. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kudaev V.Ch., Abazokov M.B. Rank optimization of streaming networks. <em>Vestnik KRAUNC<\/em>. Phys.-Math. Sciences. 2018. No. 4(24). Pp. 178\u2013185. DOI: 10.18454\/2079-6641-2018-24-4-178-185. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">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\u2013131. DOI:10.35330\/1991-6639-2019-6-92-122-131. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">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\u2013118. DOI: 10.26117\/2079-6641-2021-37-4-104-118. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Kudaev V.Ch. Ranks of extremums and structural optimization of large network systems. <em>News of the Kabardino-Balkarian Scientific Center of RAS<\/em>. 2016. No. 4(72). Pp. 15\u201324. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Nekrasova O.A., Khasilev V.Ya. Optimal tree of a pipeline system. <em>Ekonomika i matematicheskiye metody <\/em>[Economics and Mathematical Methods]. 1970. Vol. 4. No. 3. Pp. 427\u2013432. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Abramov N.N., Pospelova M.M., Somov M.A. et al. <em>Raschet vodoprovodnykh setey<\/em> [Calculation of water supply networks]. Moskow: Stroyizdat, 1983. 278 p. (In Russian)<\/li>\n\n\n\n<li style=\"font-style:normal;font-weight:400\">Abazokov M.B., Bagov M.A., Kudaev V.Ch. Computer design of large pipeline networks of high optimality rank. <em>Doklady AMAN<\/em>. 2022. No. 4. Vol. 22. Pp. 39\u201356. DOI: https:\/\/doi.org\/10.47928\/1726-9946-2022-22-4-39-56. (In Russian)<\/li>\n<\/ol>\n<\/details>\n\n\n\n<details class=\"wp-block-details has-foreground-color has-text-color has-link-color has-lora-font-family has-extra-small-font-size wp-elements-9e1c1f0328d2ebd4630f11686cf10ff3 is-layout-flow wp-container-core-details-is-layout-5dafc681 wp-block-details-is-layout-flow\" style=\"font-style:normal;font-weight:700;line-height:1.5\"><summary><strong>Information about the authors<\/strong><\/summary>\n<div class=\"wp-block-group is-vertical is-layout-flex wp-container-core-group-is-layout-b291ae12 wp-block-group-is-layout-flex\" style=\"min-height:0px;margin-top:0;margin-bottom:0;padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\">\n<p style=\"font-style:normal;font-weight:400\"><strong>Abazokov Mukhammed Borisovich<\/strong>, junior researcher, Institute of Applied Mathematics and Automation \u2013 branch of Kabardino-Balkarian Scientific Center of the RAS;<br>360000, Russia, Nalchik, 89 A Shortanov street;<br>Abazokov.Mukhammed@yandex.ru, ORCID: https:\/\/orcid.org\/0000-0002-6847-403X<br><strong>Kudaev Valery Cherimovich<\/strong>, Ph.D., leading researcher, Institute of Applied Mathematics and Automation \u2013 branch of Kabardino-Balkarian Scientific Center of the RAS;<br>360000, Russia, Nalchik, 89 A Shortanov street;<br>vchkudaev@mail.ru, ORCID: https:\/\/orcid.org\/0000-0002-8313-4199<\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n\n\n\n<p style=\"font-style:normal;font-weight:400\"><\/p>\n<\/div>\n<\/details>\n","protected":false},"excerpt":{"rendered":"<p>Tracing of large branched pipeline hydraulic networks of high optimality rank with graph presentation M.B. Abazokov, V.Ch. Kudaev Upload the full text 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 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"wp-custom-template-home","meta":{"footnotes":""},"class_list":["post-8174","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>25.4.3 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/izvestiyakbncran.ru\/index.php\/en\/25-4-3-en\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"25.4.3 En - \u0418\u0417\u0412\u0415\u0421\u0422\u0418\u042f \u041a\u0410\u0411\u0410\u0420\u0414\u0418\u041d\u041e-\u0411\u0410\u041b\u041a\u0410\u0420\u0421\u041a\u041e\u0413\u041e \u041d\u0410\u0423\u0427\u041d\u041e\u0413\u041e \u0426\u0415\u041d\u0422\u0420\u0410 \u0420\u0410\u041d\u00bb\" \/>\n<meta property=\"og:description\" content=\"Tracing of large branched pipeline hydraulic networks of high optimality rank with graph presentation M.B. 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Abazokov, V.Ch. Kudaev Upload the full text Abstract: The paper deals with a tracing technique for large branched pipeline hydraulic networks of the high optimality rank. 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