Pipe size sensitivity in pressure relief networks using genetic algorithms
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This paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigorous pipe size sensitivity assessments onto the design of pressure relief networks. By sampling high performance candidates, only the finest options can survive. The pressure relief network system that was investigated in this work was previously reported in literature. The problem is constrained and involves minimizing a cost objective function that evaluates the overall network performance, in which the best pipe size combination should be selected for each segment within the network. The overall goal of this paper was to seek cost-effective designs for the pressure relief piping system by exploring different ranges of pipe diameters that are available for each segment in the network and comparing how the overall design of the system is affected, when the number of pipe size options to select from is varied.
Кључне речи:
design / model / optimizationИзвор:
Hemijska industrija, 2020, 74, 6, 351-364Финансирање / пројекти:
DOI: 10.2298/HEMIND200709032A
ISSN: 0367-598X
WoS: 000613646400001
Scopus: 2-s2.0-85101170836
Институција/група
Tehnološko-metalurški fakultetTY - JOUR AU - Alnouri, Sabla Y. AU - Kijevčanin, Mirjana AU - Stijepović, Mirko PY - 2020 UR - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4760 AB - This paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigorous pipe size sensitivity assessments onto the design of pressure relief networks. By sampling high performance candidates, only the finest options can survive. The pressure relief network system that was investigated in this work was previously reported in literature. The problem is constrained and involves minimizing a cost objective function that evaluates the overall network performance, in which the best pipe size combination should be selected for each segment within the network. The overall goal of this paper was to seek cost-effective designs for the pressure relief piping system by exploring different ranges of pipe diameters that are available for each segment in the network and comparing how the overall design of the system is affected, when the number of pipe size options to select from is varied. T2 - Hemijska industrija T1 - Pipe size sensitivity in pressure relief networks using genetic algorithms EP - 364 IS - 6 SP - 351 VL - 74 DO - 10.2298/HEMIND200709032A ER -
@article{ author = "Alnouri, Sabla Y. and Kijevčanin, Mirjana and Stijepović, Mirko", year = "2020", abstract = "This paper utilizes a stochastic optimization approach using genetic algorithms, for conducting rigorous pipe size sensitivity assessments onto the design of pressure relief networks. By sampling high performance candidates, only the finest options can survive. The pressure relief network system that was investigated in this work was previously reported in literature. The problem is constrained and involves minimizing a cost objective function that evaluates the overall network performance, in which the best pipe size combination should be selected for each segment within the network. The overall goal of this paper was to seek cost-effective designs for the pressure relief piping system by exploring different ranges of pipe diameters that are available for each segment in the network and comparing how the overall design of the system is affected, when the number of pipe size options to select from is varied.", journal = "Hemijska industrija", title = "Pipe size sensitivity in pressure relief networks using genetic algorithms", pages = "364-351", number = "6", volume = "74", doi = "10.2298/HEMIND200709032A" }
Alnouri, S. Y., Kijevčanin, M.,& Stijepović, M.. (2020). Pipe size sensitivity in pressure relief networks using genetic algorithms. in Hemijska industrija, 74(6), 351-364. https://doi.org/10.2298/HEMIND200709032A
Alnouri SY, Kijevčanin M, Stijepović M. Pipe size sensitivity in pressure relief networks using genetic algorithms. in Hemijska industrija. 2020;74(6):351-364. doi:10.2298/HEMIND200709032A .
Alnouri, Sabla Y., Kijevčanin, Mirjana, Stijepović, Mirko, "Pipe size sensitivity in pressure relief networks using genetic algorithms" in Hemijska industrija, 74, no. 6 (2020):351-364, https://doi.org/10.2298/HEMIND200709032A . .