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

被引:5
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
学科分类号
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
[1]  
Adamo N., 2021, J. Earth Sci. Geotech. Eng, V11, P347, DOI [10.47260/jesge/1119, DOI 10.47260/JESGE/1119]
[2]  
Adamo N., 2021, Journal of Earth Sciences and Geotechnical Engineering, V11, P145, DOI DOI 10.47260/JESGE/1115
[3]  
Adamo N., 2021, J. Earth Sci. Geotech. Eng, V11, P203, DOI [10.47260/jesge/1116, DOI 10.47260/JESGE/1116]
[4]  
Agrez Dusan, 2009, 2009 IEEE Instrumentation and Measurement Technology Conference (I2MTC), P1321, DOI 10.1109/IMTC.2009.5168660
[5]   Structural Health Monitoring Techniques and Technologies for Large-Scale Structures: Challenges, Limitations, and Recommendations [J].
AlHamaydeh, Mohammad ;
Ghazal Aswad, Nour .
PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2022, 27 (03)
[6]   System identification of arch dam model strengthened with CFRP composite materials [J].
Altunisik, A. C. ;
Gunaydin, M. ;
Sevim, B. ;
Adanur, S. .
STEEL AND COMPOSITE STRUCTURES, 2017, 25 (02) :231-244
[7]   Optimal sensor placements for system identification of concrete arch dams [J].
Altunisik, Ahmet Can ;
Sevim, Baris ;
Sunca, Fezayil ;
Okur, Fatih Yesevi .
ADVANCES IN CONCRETE CONSTRUCTION, 2021, 11 (05) :397-407
[8]   CFRP composite retrofitting effect on the dynamic characteristics of arch dams [J].
Altunisik, Ahmet Can ;
Gunaydin, Murat ;
Sevim, Baris ;
Bayraktar, Alemdar ;
Adanur, Suleyman .
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2015, 74 :1-9
[9]   Time dependent changing of dynamic characteristics of laboratory arch dam model [J].
Altunisik, Ahmet Can ;
SevIm, Baris ;
Bayraktar, Alemdar ;
Adanur, Suleyman ;
Gunaydin, Murat .
KSCE JOURNAL OF CIVIL ENGINEERING, 2015, 19 (04) :1069-1077
[10]  
Au S., 2017, Modeling, Bayesian Inference, Uncertainty Laws