Academic Journal of Engineering and Technology Science, 2024, 7(5); doi: 10.25236/AJETS.2024.070518.
Hongxin Tan1, Yuejian Xu1, Xiaolin Li2, Shengcheng Zhou3, Shuqiang Liu3
1Science and Technology on Complex Aviation Systems Simulation Laboratory, Beijing, China
2PLA 94789, Nanjing, Jiangsu, China
3PLA 94857, Wuhu, Anhui, China
The capability of fuel support is fundamental to enhancing airport transportation capacity. This paper comprehensively evaluates various factors including the number of fuel depots situated between the airport and its surrounding supply points, the distances involved, and the transport capacities of the fuel trucks. Initially, we develop an airport fuel supply support capability model incorporating nine key variables. Subsequently, a genetic algorithm is devised to optimize the overall number of transport vehicles required. Furthermore, a computational and simulation system tailored for airport fuel support is both established and validated through rigorous calculations and simulations. The findings demonstrate that the proposed model can effectively and dynamically compute the necessary transport capacity in real-time, responsive to the prevailing fuel consumption patterns, thereby affirming the practicality and utility of paper research.
Fuel support capacity, Replenishment rate, Genetic algorithm, Fuel support calculation and simulation system
Hongxin Tan, Yuejian Xu, Xiaolin Li, Shengcheng Zhou, Shuqiang Liu. Construction of Airport Fuel Support Capacity Model and Numerical Simulation Verification. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 5: 140-144. https://doi.org/10.25236/AJETS.2024.070518.
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