Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fuzzy Random Uncertainty-Based Design of Water Distribution Network Using Cross-Entropy Optimization
Water distribution networks (WDNs) are considered to be one of the prime entities of urban infrastructure, which requires large investment for its construction. Hence, an optimal design of the same is considered appropriate. However, the nonlinear relationship between flow and head loss and availability of the discrete pipe sizes poses difficulty in getting an optimal solution. Also, over the time, uncertainty creeps in due to changes in water demand and values of pipe roughness coefficient which may cause the hydraulic failure of the System. This paper considers the uncertainty in water demand and pipe roughness coefficient which are modelled using fuzzy random variable (FRV) approach. The uncertainty in both the parameters is assumed to be normally distributed with fuzzy mean, and 10% of fuzzy mean as its standard deviation. The cross-entropy (CE) optimization is used for the uncertainty-based design of WDNs. The methodology is illustrated through two example networks from the literature. The computation time and optimal cost both are observed to be less, when compared with other metaheuristic approaches.
Fuzzy Random Uncertainty-Based Design of Water Distribution Network Using Cross-Entropy Optimization
Water distribution networks (WDNs) are considered to be one of the prime entities of urban infrastructure, which requires large investment for its construction. Hence, an optimal design of the same is considered appropriate. However, the nonlinear relationship between flow and head loss and availability of the discrete pipe sizes poses difficulty in getting an optimal solution. Also, over the time, uncertainty creeps in due to changes in water demand and values of pipe roughness coefficient which may cause the hydraulic failure of the System. This paper considers the uncertainty in water demand and pipe roughness coefficient which are modelled using fuzzy random variable (FRV) approach. The uncertainty in both the parameters is assumed to be normally distributed with fuzzy mean, and 10% of fuzzy mean as its standard deviation. The cross-entropy (CE) optimization is used for the uncertainty-based design of WDNs. The methodology is illustrated through two example networks from the literature. The computation time and optimal cost both are observed to be less, when compared with other metaheuristic approaches.
Fuzzy Random Uncertainty-Based Design of Water Distribution Network Using Cross-Entropy Optimization
Lecture Notes in Civil Engineering
Laishram, Boeing (Herausgeber:in) / Tawalare, Abhay (Herausgeber:in) / Pandey, Prerna (Autor:in) / Dongre, Shilpa (Autor:in) / Gupta, Rajesh (Autor:in)
International Conference on Advances in Civil Engineering ; 2020
15.12.2021
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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