OPEN ACCESS
Recent years has seen the proliferation of various fluid pipe networks in our living and working environments. With the growth in size, complexity and scale, fluid pipe networks are faced with numerous problems like pipe collision and bursting. To prevent these problems, ensure the operation efficiency and save cost, this paper probes into the structure and performance of two fluid pipe networks that backs up each other. Based on topological analysis algorithm, the two fluid pipe networks were converted into topological graphs, and created topological models involving pipe elements and nodes. Through optimization of the models, the author proposed the two-pipe connection mode for the two pipe networks. The optimization strategy was then verified through a simulation application in a tree-shaped water injection system. The results show that our strategy can effectively optimize the two-pipe connection, ensure the operation efficiency and save the network cost. The research findings provide a good reference to the design and optimization of fluid pipe networks in China.
topological analysis, fluid pipe network, two pipe networks, optimization
[1] Sui J, Yang L, Hu Y. (2016). Complex fluid network optimization and control integrative design based on nonlinear dynamic model ☆. Chaos Solitons & Fractals the Interdisciplinary Journal of Nonlinear Science & Nonequilibrium & Complex Phenomena 89: 20-26. http://doi.org/10.1016/j.chaos.2015.09.009
[2] Ayad A, Awad H, Yassin A. (2013). Developed hydraulic simulation model for water pipeline networks. Alexandria Engineering Journal 52(1): 43-49. http://doi.org/10.1016/j.aej.2012.11.005
[3] Almazyad AS, Seddiq YM, Alotaibi AM, Alnasheri AY, Bensaleh MS, Obeid AM. (2014). A proposed scalable design and simulation of wireless sensor network-based long-distance water pipeline leakage monitoring system. Sensors 14(2): 3557-3577. http://doi.org/10.3390/s140203557
[4] Afshar MH. (2012). Rebirthing genetic algorithm for storm sewer network design. Scientia Iranica 19(1): 11-19. http://doi.org/10.1016/j.scient.2011.12.005
[5] Ribas PC, Yamamoto L, Polli HL, Arruda LVR, Neves-Jr F. (2013). A micro-genetic algorithm for multi-objective scheduling of a real-world pipeline network. Engineering Applications of Artificial Intelligence 26(1): 302-313. http://doi.org/10.1016/j.engappai.2012.09.020
[6] Sinha SK, Pandey MD. (2010). Probabilistic neural network for reliability assessment of oil and gas pipelines. Computer-Aided Civil and Infrastructure Engineering 17(5): 320-329. http://doi.org/10.1111/1467-8667.00279
[7] Carrión A, Solano H, Gamiz ML, Debón A. (2010). Evaluation of the reliability of a water supply network from right-censored and left-truncated break data. Water Resources Management 24(12): 2917-2935. http://doi.org/10.1007/s11269-010-9587-y
[8] Chang YL. (2001). A study on model simplification technology and calculation method of water flooding pipeline network system. Acta Petrolei Sinica 22(2): 95-100.
[9] Zhang H, Liang Y, Zhou X, Yan X, Qian C, Liao Q. (2017). Sensitivity analysis and optimal operation control for large-scale waterflooding pipeline network of oilfield. Journal of Petroleum Science & Engineering 154. http://doi.org/1016/j.petrol.2017.04.019
[10] Tang CY, Chen HX, Zhu B. (2010). Research on modeling of water supply pipeline network for meeting energy demands and energy conservation. Process Automation Instrumentation 31(3): 12-15.
[11] Valiantzas JD. (2008). Explicit power formula for the darcy-weisbach pipe flow equation: application in optimal pipeline design. Journal of Irrigation & Drainage Engineering 134(4): 454-461. http://doi.org/10.1061/(asce)0733-9437(2008)134:4(454)
[12] Bakri B, Arai Y, Inakazu T, Koizumi A, Yoda H, Pallu S. (2015). Selection and concentration of pipeline mains for rehabilitation and expansion of water distribution network ☆. Procedia Environmental Sciences 28: 732-742. http://doi.org/10.1016/j.proenv.2015.07.086
[13] Tanyimboh TT, Tabesh M, Burrows R. (2001). Appraisal of source head methods for calculating reliability of water distribution networks. Journal of Water Resources Planning & Management 127(4): 206-213. http://doi.org/10.1061/(asce)0733-9496(2001)127:4(206)