中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2020, Vol. 39 ›› Issue (07): 108-113.DOI: 10.3969/j.issn.16740696.2020.07.16

• 港口航道·水利水电·资源环境 • 上一篇    下一篇

基于灰色模糊的大桥对附近码头能力损失的研究

刘轶华1,马利华1,苑洋2   

  1. (1.上海海事大学 商船学院,上海 201306; 2. 大连海事大学 航海学院,辽宁 大连 116026)
  • 收稿日期:2018-12-24 修回日期:2019-06-11 出版日期:2020-07-16 发布日期:2020-07-21
  • 作者简介:刘轶华(1980—),男,湖南郴州人,副教授,主要从事海上交通安全及通航水域安全评价方面的研究。Email:liuyh@shmtu.edu.cn 通信作者:马利华(1993—),女,山西朔州人,硕士研究生,主要从事交通信息工程及控制方面的研究。Email:lhma313@163.com
  • 基金资助:
    国家自然科学基金项目(51509151);山东省重大科技创新工程项目(2019JZZY020713)

Bridge to Nearby Wharf Capacity Loss Based on Grey Fuzzy

LIU Yihua1, MA Lihua1,YUAN Yang2   

  1. (1. Merchant Marine College, Shanghai Maritime University, Shanghai 201306, China; 2. Navigation College, Dalian Maritime University, Dalian 116026, Liaoning, China)
  • Received:2018-12-24 Revised:2019-06-11 Online:2020-07-16 Published:2020-07-21

摘要: 为保障大桥附近的码头通航安全,分析影响码头能力损失的因素,确定受大桥影响的码头能力损失指标,提出了基于灰色模糊的码头能力损失模型。根据灰色关联度的隶属度求解,用层次分析法分配计算各个因素权重,以甬舟大桥为例,验证了方法的可行性,并选取5个有效的指标因素,完成了对码头能力损失的定量分析。研究有利于加强码头安全规划管理、保障桥区船舶通航安全,为桥位线的选线提供了科学参考依据。

关键词: 港口工程 , 码头能力损失, 灰色模糊, 灰色关联度, 层次分析法, 损失率

Abstract: In order to ensure the navigation safety of wharfs near the bridge, the factors affecting the wharf capacity loss were analyzed, and the indexes of wharf capacity loss affected by the bridge were determined. A model of wharf capacity loss based on grey fuzzy was proposed. According to the membership degree of grey correlation degree, the weight of each factor was distributed and calculated by AHP. Taking Yongzhou Bridge as an example, the feasibility of the method was verified, and 5 effective index factors were selected to complete the quantitative analysis of wharf capacity loss. The proposed model is helpful to strengthen the safety planning and management of wharf and ensure the navigation safety of ships in the bridge area, which provides a scientific reference for the route selection of the bridge location.

Key words: port engineering, wharf capacity loss, grey fuzzy, grey correlation degree, analytic hierarchy process, loss rate

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