Enhanced Port Vulnerability Assessment Using Unmanned-Aerial-Vehicle-Based Structural Health Monitoring

被引:1
|
作者
Brouziouti, Stavroula [1 ]
Sartampakos, Panagiotis [2 ]
Tsoukala, Vasiliki K. [1 ,2 ]
Tsoukala, Vasiliki K. [1 ,2 ]
机构
[1] Natl Tech Univ Athens, Sch Civil Engn, Lab Harbour Works, 5 Heroon Polytech Str, Zografos 15780, Greece
[2] NIREAS Engn, 1-3 Skra Str, Athens 17673, Greece
关键词
port vulnerability; fishing and leisure harbors; port vulnerability assessment; port infrastructure; Structural Health Monitoring (SHM); condition monitoring; Unmanned Aerial Vehicles (UAVs); RESILIENCE; RISK;
D O I
10.3390/su151814017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Port vulnerability assessment is inherently linked to the delivery of sustainable and resilient infrastructure. Identifying the vulnerabilities and weaknesses of a port system allows for the minimization of disaster effects and optimization of maintenance, repair, or mitigation actions. The current port vulnerability assessment practices are built upon the examination of a diversity of indicators (parameters), including technical, physical, environmental, and socioeconomic pressures. From an engineering perspective, and given that ports are tangible infrastructure assets, their vulnerability is highly affected by the structural condition of their facilities. Hence, the present research seeks to enhance port vulnerability assessment by introducing structural condition parameters based on Structural Health Monitoring applications. The four fishing and leisure harbors of the Municipality of Thebes, located in central Greece, were used as a case study. Two approaches were considered for the harbors' vulnerability assessments: (a) enabling and (b) disabling the use of the proposed parameters. In situ inspections were conducted with the employment of an Unmanned Aerial Vehicle (UAV) for condition monitoring. UAV data were analyzed to generate geospatial images that allow for the mapping and detecting of defects and failures in port infrastructure. The overall research assists decision-makers in gaining valuable insight into the system's vulnerabilities and prioritizing their interventions.
引用
收藏
页数:22
相关论文
共 50 条
  • [1] Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring
    Sreenath, Sreehari
    Malik, Haroon
    Husnu, Narman
    Kalaichelavan, Kanimozhi
    [J]. 11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2020, 170 : 656 - 663
  • [2] Plant Density and Health Evaluation in Green Stormwater Infrastructure Using Unmanned-Aerial-Vehicle-Based Imagery
    Xue, Jingwen
    Qian, Xuejun
    Kang, Dong Hee
    Hunter, James G.
    [J]. APPLIED SCIENCES-BASEL, 2024, 14 (10):
  • [3] An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform
    Akbar, Muhammad Ali
    Qidwai, Uvais
    Jahanshahi, Mohammad R.
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2019, 26 (01):
  • [4] Feasibility of using digital image correlation for unmanned aerial vehicle structural health monitoring of bridges
    Reagan, Daniel
    Sabato, Alessandro
    Niezrecki, Christopher
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2018, 17 (05): : 1056 - 1072
  • [5] An autonomous unmanned aerial vehicle sensing system for structural health monitoring of bridges
    Reagan, Daniel
    Sabato, Alessandro
    Niezrecki, Christopher
    Yu, Tzuyang
    Wilson, Richard
    [J]. NONDESTRUCTIVE CHARACTERIZATION AND MONITORING OF ADVANCED MATERIALS, AEROSPACE, AND CIVIL INFRASTRUCTURE 2016, 2016, 9804
  • [6] Flight validation of an embedded structural health monitoring system for an unmanned aerial vehicle
    Kressel, I.
    Dorfman, B.
    Botsev, Y.
    Handelman, A.
    Balter, J.
    Pillai, A. C. R.
    Prasad, M. H.
    Gupta, N.
    Joseph, A. M.
    Sundaram, R.
    Tur, M.
    [J]. SMART MATERIALS AND STRUCTURES, 2015, 24 (07)
  • [7] Deep-learning-based spraying area recognition system for unmanned-aerial-vehicle-based sprayers
    Khan, Shahbaz
    Tufail, Muhammad
    Khan, Muhammad Tahir
    Khan, Zubair Ahmad
    Anwar, Shahzad
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2021, 29 (01) : 241 - 256
  • [8] Special issue on a structural health monitoring project for a composite unmanned aerial vehicle wing
    Park, Chan Yik
    Sohn, Hoon
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2012, 19 (07): : 565 - 566
  • [9] Health monitoring of unmanned aerial vehicle based on optical fiber sensor array
    Luo, Yuxiang
    Shen, Jingshi
    Shao, Fei
    Guo, Chunhui
    Yang, Ning
    Zhang, Jiande
    [J]. AOPC 2017: FIBER OPTIC SENSING AND OPTICAL COMMUNICATIONS, 2017, 10464
  • [10] Aerial Vehicle Based Sensing Framework for Structural Health Monitoring
    Tanwer, Ashish
    Hussain, Muzahid
    Reel, Parminder Singh
    [J]. CONTEMPORARY COMPUTING, PT 2, 2010, 95 : 71 - 83