Modal Identification Techniques for Concrete Dams: A Comprehensive Review and Application

被引:1
作者
Mostafaei, Hasan [1 ]
机构
[1] Univ Technol Sydney, Sch Civil & Environm Engn, Ultimo, NSW 2007, Australia
关键词
dam; modal analysis; operational modal identification; sensors; automated modal identification; damage detection; dam health monitoring; FREQUENCY-DOMAIN DECOMPOSITION; OPTIMAL SENSOR PLACEMENT; ARCH DAM; PARAMETER-IDENTIFICATION; STRUCTURAL HEALTH; DYNAMIC CHARACTERISTICS; SYSTEM-IDENTIFICATION; WEDGE STABILITY; TIME; ALGORITHM;
D O I
10.3390/sci6030040
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Throughout history, the implementation of structural health monitoring systems has played a crucial role in evaluating the responses of dams to environmental and human-induced threats. By continuously monitoring structural integrity and analyzing dynamic characteristics, these systems offer a robust alternative to traditional visual inspection methods, ensuring the long-term safety of dams. This paper delves into the intricate process of operational modal analysis applied to dams, encompassing data collection, preprocessing, and the utilization of diverse modal identification techniques across both time and frequency domains. Moreover, it explores innovative approaches aimed at overcoming challenges encountered in previous methodologies. Also, the evolution of automated modal identification techniques and their application in dams are investigated. It explores the advancements in this field and their implications for enhancing the efficiency and accuracy of modal analysis processes. Furthermore, this paper evaluates the effectiveness of damage detection methods in dams based on operational modal identification.
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页数:26
相关论文
共 158 条
[81]   Dynamic material parameter inversion of high arch dam under discharge excitation based on the modal parameters and Bayesian optimised deep learning [J].
Liu, Bo ;
Li, Huokun ;
Wang, Gang ;
Huang, Wei ;
Wu, Pengzhen ;
Li, Yuekang .
ADVANCED ENGINEERING INFORMATICS, 2023, 56
[82]  
[刘宇飞 Liu Yufei], 2014, [工程力学, Engineering Mechanics], V31, P46
[83]   Frequency domain analysis of concrete arch dams by decoupled modal approach [J].
Lotfi, V .
STRUCTURAL ENGINEERING AND MECHANICS, 2005, 21 (04) :423-435
[84]  
Lotfollahi-Yaghin M.A., 2008, World Appl. Sci. J, V3, P691
[85]   Vibration based structural health monitoring of an arch bridge: From automated OMA to damage detection [J].
Magalhaes, F. ;
Cunha, A. ;
Caetano, E. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2012, 28 :212-228
[86]   Damage detection in structures: from mode shape to frequency response function methods [J].
Maia, NMM ;
Silva, JMM ;
Almas, EAM ;
Sampaio, RPC .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2003, 17 (03) :489-498
[87]  
Malekjafarian A., 2012, Conference Proceedings of the Society for Experimental Mechanics Series, V1, P443, DOI DOI 10.1007/978-1-4614-2413-0_44
[88]   Non-Parametric Operational Modal Analysis Methods in Frequency Domain: A Systematic Review [J].
Maria Cardenas, Elsa ;
Ulises Medina, Luis .
INTERNATIONAL JOURNAL OF ENGINEERING AND TECHNOLOGY INNOVATION, 2021, 11 (01) :34-44
[89]  
Mayes R.L., 1999, Applications of the Automated SMAC Modal Parameter Extraction Package
[90]   A System Identification-Based Damage-Detection Method for Gravity Dams [J].
Mirtaheri, Masoud ;
Salkhordeh, Mojtaba ;
Mohammadgholiha, Masoud .
SHOCK AND VIBRATION, 2021, 2021