The State of the Art of Artificial Intelligence Approaches and New Technologies in Structural Health Monitoring of Bridges

被引:29
作者
Zinno, Raffaele [1 ]
Haghshenas, Sina Shaffiee [2 ]
Guido, Giuseppe [2 ]
Rashvand, Kaveh [3 ]
Vitale, Alessandro [2 ]
Sarhadi, Ali [3 ]
机构
[1] Univ Calabria, Dept Environm Engn, Via Bucci, I-87036 Arcavacata Di Rende, Italy
[2] Univ Calabria, Dept Civil Engn, Via Bucci, I-87036 Arcavacata Di Rende, Italy
[3] Tech Univ Denmark, Dept Wind & Energy Syst, Riso Campus,Frederiksborgvej 399, DK-4000 Roskilde, Denmark
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 01期
关键词
smart cities; SHM; bridge; IoT; AI; drone technology; 3D printer; DAMAGE DETECTION; SMART CITIES; IDENTIFICATION; CHALLENGES; MANAGEMENT; SYSTEM; MODEL;
D O I
10.3390/app13010097
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The challenges of urban administration are growing, as the population, automobiles, and cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A key feature of the "smart cities" of today is that they use cutting-edge technology in their infrastructure and services. With strategic planning, the smart city utilizes its resources in the most efficient manner. With reduced expenses and enhanced infrastructure, smart cities provide their residents with more and better services. One of these important urban services that can be very helpful in managing cities is structural health monitoring (SHM). By combining leading new technologies like the Internet of Things (IoT) with structural health monitoring, important urban infrastructure can last longer and work better. A thorough examination of recent advances in SHM for infrastructure is thus warranted. Bridges are one of the most important parts of a city's infrastructure, and their building, development, and proper maintenance are some of the most important aspects of managing a city. The main goal of this study is to look at how artificial intelligence (AI) and some technologies, like drone technology and 3D printers, could be used to improve the current state of the art in SHM systems for bridges, including conceptual frameworks, benefits and problems, and existing methods. An outline of the role AI and other technologies will play in SHM systems of bridges in the future was provided in this study. Some novel technology-aided research opportunities are also highlighted, explained, and discussed.
引用
收藏
页数:23
相关论文
共 157 条
  • [1] What are the differences between sustainable and smart cities?
    Ahvenniemi, Hannele
    Huovila, Aapo
    Pinto-Seppa, Isabel
    Airaksinen, Miimu
    [J]. CITIES, 2017, 60 : 234 - 245
  • [2] Developing the Rule of Thumb for Evaluating Penetration Rate of TBM, Using Binary Classification
    Akbarzadeh, Mohammadreza
    Haghshenas, Sina Shaffiee
    Jalali, Seyed Mohammad Esmaeil
    Zare, Shokrollah
    Mikaeil, Reza
    [J]. GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2022, 40 (09) : 4685 - 4703
  • [3] Applications of big data to smart cities
    Al Nuaimi, Eiman
    Al Neyadi, Hind
    Mohamed, Nader
    Al-Jaroodi, Jameela
    [J]. JOURNAL OF INTERNET SERVICES AND APPLICATIONS, 2015, 6 : 1 - 15
  • [4] Alavi A., 2022, RISE SMART CITIES AD
  • [5] Aldana-Rodríguez Didier, 2021, Dyna rev.fac.nac.minas, V88, P32, DOI 10.15446/dyna.v88n217.91879
  • [6] Structural Health Monitoring Techniques and Technologies for Large-Scale Structures: Challenges, Limitations, and Recommendations
    AlHamaydeh, Mohammad
    Ghazal Aswad, Nour
    [J]. PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2022, 27 (03)
  • [7] Vibration-based damage detection in beam structures with multiple cracks: modal curvature vs. modal flexibility methods
    Altunisik, Ahmet Can
    Okur, Fatih Yesevi
    Karaca, Sebahat
    Kahya, Volkan
    [J]. NONDESTRUCTIVE TESTING AND EVALUATION, 2019, 34 (01) : 33 - 53
  • [8] TLS for Dynamic Measurement of the Elastic Line of Bridges
    Artese, Serena
    Zinno, Raffaele
    [J]. APPLIED SCIENCES-BASEL, 2020, 10 (03):
  • [9] THE SURVEY, THE REPRESENTATION AND THE STRUCTURAL MODELING OF A DATED BRIDGE
    Artese, Serena
    Lerma, Jose Luis
    Zagari, Giuseppe
    Zinno, Raffaele
    [J]. PROCEEDINGS OF THE 8TH INTERNATIONAL CONGRESS ON ARCHAEOLOGY, COMPUTER GRAPHICS, CULTURAL HERITAGE AND INNOVATION ( ARQUEOLOGICA 2.0): ADVANCED 3D DOCUMENTATION, MODELLING AND RECONSTRUCTION OF CULTURAL HERITAGE OBJECTS, MONUMENTS AND SITES, 2016, : 162 - 168
  • [10] Monitoring of Bridges by a Laser Pointer: Dynamic Measurement of Support Rotations and Elastic Line Displacements: Methodology and First Test
    Artese, Serena
    Achilli, Vladimiro
    Zinno, Raffaele
    [J]. SENSORS, 2018, 18 (02):