Seismic assessment of bridges through structural health monitoring: a state-of-the-art review

被引:3
|
作者
Karakostas, Christos [1 ]
Quaranta, Giuseppe [2 ]
Chatzi, Eleni [3 ]
Zulfikar, Abdullah Can [4 ]
Cetindemir, Oguzhan [5 ]
De Roeck, Guido [6 ]
Dohler, Michael [7 ]
Limongelli, Maria Pina [8 ]
Lombaert, Geert [6 ]
Apaydin, Nurdan Memisoglu [9 ]
Pakrashi, Vikram [10 ]
Papadimitriou, Costas [11 ]
Yesilyurt, Ali [4 ]
机构
[1] Res Unit Earthquake Planning & Protect Org, Inst Engn Seismol & Earthquake Engn, Thessaloniki, Greece
[2] Sapienza Univ Rome, Dept Struct & Geotech Engn, Rome, Italy
[3] Swiss Fed Inst Technol, Dept Civil Environm & Geomat Engn, Zurich, Switzerland
[4] Istanbul Tech Univ, Disaster Management Inst, Istanbul, Turkiye
[5] Gebze Tech Univ, Dept Civil Engn, Kocaeli, Turkiye
[6] Katholieke Univ Leuven, Dept Civil Engn, Leuven, Belgium
[7] Univ Gustave Eiffel, Inria, COSYS SII, I4S, Rennes, France
[8] Politecn Milan, Dept Architecture Built Environm & Construct Engn, Milan, Italy
[9] Istanbul Univ, Dept Civil Engn, Istanbul, Turkiye
[10] Univ Coll Dublin, UCD Ctr Mech Dynam Syst & Risk Lab, Sch Mech & Mat Engn, Dublin, Ireland
[11] Univ Thessaly, Dept Mech Engn, Volos, Greece
基金
爱尔兰科学基金会;
关键词
Bridge; Computational intelligence; Condition assessment; Damage detection; Identification; Fatih Sultan Mehmet bridge; Optimal sensor placement; Seismic assessment; Structural health monitoring; Suspension bridge; SENSOR PLACEMENT OPTIMIZATION; AMBIENT VIBRATION SURVEY; MA SUSPENSION BRIDGE; DAMAGE DETECTION; ENVIRONMENTAL-CONDITIONS; PERFORMANCE ASSESSMENT; SYSTEM-IDENTIFICATION; GENETIC ALGORITHM; FRAGILITY CURVES; DECISION-MAKING;
D O I
10.1007/s10518-023-01819-3
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The present work offers a comprehensive overview of methods related to condition assessment of bridges through Structural Health Monitoring (SHM) procedures, with a particular interest on aspects of seismic assessment. Established techniques pertaining to different levels of the SHM hierarchy, reflecting increasing detail and complexity, are first outlined. A significant portion of this review work is then devoted to the overview of computational intelligence schemes across various aspects of bridge condition assessment, including sensor placement and health tracking. The paper concludes with illustrative examples of two long-span suspension bridges, in which several instrumentation aspects and assessments of seismic response issues are discussed.
引用
收藏
页码:1309 / 1357
页数:49
相关论文
共 50 条
  • [1] Seismic assessment of bridges through structural health monitoring: a state-of-the-art review
    Christos Karakostas
    Giuseppe Quaranta
    Eleni Chatzi
    Abdullah Can Zülfikar
    Oğuzhan Çetindemir
    Guido De Roeck
    Michael Döhler
    Maria Pina Limongelli
    Geert Lombaert
    Nurdan Memişoğlu Apaydın
    Vikram Pakrashi
    Costas Papadimitriou
    Ali Yeşilyurt
    [J]. Bulletin of Earthquake Engineering, 2024, 22 : 1309 - 1357
  • [2] Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art
    Zinno, Raffaele
    Haghshenas, Sina Shaffiee
    Guido, Giuseppe
    VItale, Alessandro
    [J]. IEEE ACCESS, 2022, 10 : 88058 - 88078
  • [3] STATE-OF-THE-ART REVIEW ON STRUCTURAL SEISMIC MONITORING AND ASSESSMENT OF BUILDING STRUCTURES
    Shan J.-Z.
    Wang L.-J.
    Yu H.
    Su J.-R.
    [J]. Gongcheng Lixue/Engineering Mechanics, 2022, 39 (11): : 1 - 12
  • [4] Seismic fragility assessment of highway bridges: a state-of-the-art review
    Billah, A. H. M. Muntasir
    Alam, M. Shahria
    [J]. STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2015, 11 (06) : 804 - 832
  • [5] State-of-the-Art Review of Technologies for Pipe Structural Health Monitoring
    Liu, Zheng
    Kleiner, Yehuda
    [J]. IEEE SENSORS JOURNAL, 2012, 12 (06) : 1987 - 1992
  • [6] State-of-the-art review on advancements of data mining in structural health monitoring
    Gordan, Meisam
    Sabbagh-Yazdi, Saeed-Reza
    Ismail, Zubaidah
    Ghaedi, Khaled
    Carroll, Páraic
    McCrum, Daniel
    Samali, Bijan
    [J]. Measurement: Journal of the International Measurement Confederation, 2022, 193
  • [7] Abnormal data detection for structural health monitoring: State-of-the-art review
    Deng, Yang
    Zhao, Yingjie
    Ju, Hanwen
    Yi, Ting-Hua
    Li, Aiqun
    [J]. DEVELOPMENTS IN THE BUILT ENVIRONMENT, 2024, 17
  • [8] Piezoelectric Sensing Techniques in Structural Health Monitoring: A State-of-the-Art Review
    Jiao, Pengcheng
    Egbe, King-James I.
    Xie, Yiwei
    Nazar, Ali Matin
    Alavi, Amir H.
    [J]. SENSORS, 2020, 20 (13) : 1 - 21
  • [9] State-of-the-art review on advancements of data mining in structural health monitoring
    Gordan, Meisam
    Sabbagh-Yazdi, Saeed-Reza
    Ismail, Zubaidah
    Ghaedi, Khaled
    Carroll, Paraic
    McCrum, Daniel
    Samali, Bijan
    [J]. MEASUREMENT, 2022, 193
  • [10] The seismic vulnerability assessment methodologies: A state-of-the-art review
    Kassem, Moustafa Moufid
    Nazri, Fadzli Mohamed
    Farsangi, Ehsan Noroozinejad
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2020, 11 (04) : 849 - 864