Optimization and allocation research of hub airport pavement fleet deicing resource

Abstract

Abstract: The airport deicing rate has far-reaching influence on airport operating quality as well as flight punctuality rate.In view of the problem about fleet resource optimization and allocation for hub airport pavement deicing, characteristics of airport deicing and fleet operation are analyzed, performance capacity-cost multi-objective optimization and allocation model about airport deicing is built, standard article swarm algorithm is improved to solve the model. Based on the deicing case of a large hub airport, the model is simulated and analysed, the fleet resource optimization and configuration results are obtained under different snow conditions. Results show that the model configuration mode is superior to the experience configuration mode in operation efficiency and cost.

Key words: airport pavement, deicing, fleet resource, optimization and allocation, article swarm algorithm

CLC Number:

XING Zhiwei, CHEN Yaxiong, LUO Qian, CHEN Fei. Optimization and allocation research of hub airport pavement fleet deicing resource[J]. .

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[2]	WU Kun, LIN Xijie, CHEN Yu, LI Changhui. Analysis of mechanical properties and fatigue life of ECC-concrete composite airport pavement [J]. Journal of Civil Aviation University of China, 2023, 41(5): 27-33.
[3]	ZHI Yanfei, WANG Hui, LIU Jianying. Simulation of electrothermal effect of CFRC pavement slab [J]. Journal of Civil Aviation University of China, 2023, 41(5): 42-48.
[4]	SHI Chao, ZHANG Lei , TIAN Shuaituan , YAO Pengfei . Evaluation of fatigue life of asphalt overlay based on reflective crack induced by aircraft loads [J]. Journal of Civil Aviation University of China, 2023, 41(1): 41-46.
[5]	WANG Gang, ZHENG Li, FENG Chao. Study on airworthiness compliance of large aircraft anti/deicing system based on CS25 [J]. Journal of Civil Aviation University of China, 2022, 40(2): 42-46.
[6]	QI Chunxiang, LIU Chaojia, HAN Zhuo, CUI Xiaoyun, GAO Yuhuan. Influence of airport pavement roughness on performance of joint load transfer [J]. Journal of Civil Aviation University of China, 2022, 40(1): 47-52.
[7]	WU Dalin, Y ANG Y ulan. Influence of dowel bar misalignment on stress on cement concrete in airport pavement [J]. Journal of Civil Aviation University of China, 2021, 39(5): 34-39.
[8]	WANG Li, Lei. High-precision position solution method for airport scene monitoring [J]. Journal of Civil Aviation University of China, 2021, 39(2): 21-25.
[9]	CHENG Guoyong, YANG Yiheng. Thin layer repair material for airport pavement [J]. Journal of Civil Aviation University of China, 2020, 38(3): 23-27.
[10]	CHEN Fei, LI Longpu, LI Si. Motion control method of airport pavement deicing vehicles#br# [J]. Journal of Civil Aviation University of China, 2019, 37(5): 25-29.
[11]	LING Yingqi, LIU Shifu, LIN Sheng, WU Lei, BIN Xueyang. Comparison of runway roughness evaluation methods under measured unevenness excitation#br# [J]. Journal of Civil Aviation University of China, 2019, 37(3): 27-32.
[12]	DU Hao, YANG Ge, LIU Hailun. Airport pavement performance prediction based on Gray-Markov model#br# [J]. Journal of Civil Aviation University of China, 2019, 37(3): 22-26.
[13]	TIAN Jing, ZHANG Enhao, FU Weifang. Application of improved quantum particle swarm algorithm in initial configuration of aircraft spare parts [J]. , 2018, 36(5): 48-51.
[14]	ZHANG Wei, LI Biao. Research on dispatching model of aircraft ground deicing [J]. , 2017, 35(5): 22-25,29.
[15]	CHEN Fei. Airport deicing security technology in snow and ice conditions [J]. , 2016, 34(6): 21-25.

Optimization and allocation research of hub airport pavement fleet deicing resource

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