Global methodology for damage detection and localization in civil engineering structures

Frigui, Farouk Omar; Faye, Jean-Pierre; Martín, Carmen; Dalverny, Olivier; Pérès, François; Judenherc, Sébastien

doi:10.1016/j.engstruct.2018.06.026

Cited by 48 publications

(27 citation statements)

References 34 publications

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“…If the MAC is 0, the intersection angle of the mode shape vector is 90°, indicating that the correlation between modes is weak. Conversely, if the MAC is close to 1, the correlation between modes is strong; a value between 0.95 and 1.00 is assumed to be acceptable for all practical purposes [ 44 , 45 ].…”

Section: Methodology Of Infrared Thermography Measurement and Datamentioning

confidence: 99%

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Liu²,

Chung³

et al. 2020

Sensors

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In this study, infrared thermography is used for vibration-based structural health monitoring (SHM). Heat sources are employed as sensors. An acrylic frame structure was experimentally investigated using the heat sources as structural marker points to record the vibration response. The effectiveness of the infrared thermography measurement system was verified by comparing the results obtained using an infrared thermal imager with those obtained using accelerometers. The average error in natural frequency was between only 0.64% and 3.84%. To guarantee the applicability of the system, this study employed the mode shape curvature method to locate damage on a structure under harsh environments, for instance, in dark, hindered, and hazy conditions. Moreover, we propose the mode shape recombination method (MSRM) to realize large-scale structural measurement. The partial mode shapes of the 3D frame structure are combined using the MSRM to obtain the entire mode shape with a satisfactory model assurance criterion. Experimental results confirmed the feasibility of using heat sources as sensors and indicated that the proposed methods are suitable for overcoming the numerous inherent limitations associated with SHM in harsh or remote environments as well as the limitations associated with the SHM of large-scale structures.

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Section: Methodology Of Infrared Thermography Measurement and Datamentioning

confidence: 99%

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Liu²,

Chung³

et al. 2020

Sensors

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“…Two kind of computation methods implemented in the finite element software Abaq-us R are used in the following sections: a frequency computation method and a dynamic computation method. The first method corresponds to a linear perturbation procedure and allows the extraction of natural frequencies and modal shapes of the structure at a given state [9]. Based on Lanczos algorithm, such approach includes initial stress and load stiffness effects due to preloads.…”

Section: Numerical Model 31 Computation Methodsmentioning

confidence: 99%

“…As example, methods linked to modal shape variations (mode shape curvature and curvature damage factor methods) are sensitive to measurement directions while flexibility variations based methods are sensitive to sensors location [8]. Applying these methods in a specific order allow overcoming aforementioned drawbacks [9], but requires a huge amount of data in order to accurately determine damage location [10]. Moreover, if the structure is not equipped with a continuous monitoring system, using such a methodology needs to make post earthquake measurements that can be dangerous to perform.…”

Section: Introductionmentioning

confidence: 99%

Seismic vulnerability of structures: application to the Civil Protection building in Andorra

Barus

Dalverny

Welemane

et al. 2020

Mechanics & Industry

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This works deals with the seismic vulnerability of buildings in the Pyrenees mountains region where almost a thousand earthquakes are recorded each year in the border area. The challenge is twofold: first to detect the damage due to seismic events and then to localize it inside studied buildings. Operational Modal Analysis (OMA) coupled with numerical modelling by Finite Element (FE) constitutes an interesting approach to address these issues. Here we intend to apply such methodology on a strategic building located in Andorre-la-Vieille whose structure is complex, irregular and heterogeneous. The structural behaviour of the building is studied through frequency computation method in order to identify its undamaged behaviour. A seismic event is next simulated by a non-linear dynamic computation method which creates damage within the structure. Numerical results (natural frequencies, modal shapes and damage location) allow highlighting damaged zones induced by the earthquake and quantify degradation level in these areas. Accordingly, some guidelines may be given in view of the future instrumentation of the building (accelerometers and RAR).

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“…Typically, minimizing an objective function established by the change of modal parameters is the principle of the optimization-based damage identification method. The changes in modal parameters and their combinations are widely utilized to construct an objective function (Frigui et al, 2018; Meruane and Heylen, 2011; Pandey and Biswas, 1994; Pandey et al, 1991; Perera et al, 2009; Shabbir and Omenzetter, 2016; Villalba and Laier, 2012). Among them, the natural frequencies are easier to be measured and have high sensitivity to damage (Hakim and Razak, 2013); besides, their measurement errors are negligible compared to that of mode shapes (Perera et al, 2009).…”

Section: Optimization-based Damage Identificationmentioning

confidence: 99%

Localizing and quantifying structural damage by means of a beetle swarm optimization algorithm

Jiang

Wang

2020

Advances in Structural Engineering

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An efficient meta-heuristic algorithm, named beetle swarm optimization (BSO), is proposed to localize and quantify structural damage using limited vibration measurement data. The beetle antennae search (BAS) algorithm that imitats a random walking mechanism in nature was recently developed to solve the optimization problem. However, the ratio of convergence of this algorithm significantly relys on the random direction and deviation for high-dimensional problems. To overcome this shortcoming, the BSO inspired by the swarm intelligence strategy is proposed. In the iterative search process of the BSO, each beetle swarm moves in a random direction like the BAS and the swarm of beetles is cognitive with the optimal one for the searching behavior. Consequently, the optimal one is updated step by step until a better beetle appears. To demonstrate the capability and robustness of the BSO, numerical and experimental studies using limited vibration measurement data of an offshore wind turbine structure are carried out for structural damage identification. An novel objective function is established by combining natural frequencies with mode shapes of the structure. The numerical results show that the BSO can accurately localize and quantify various types of damage even in a noise and temperature variations polluted environment. Moreover, it has higher accuracy and faster convergence speed than the BAS and the particle swarm optimization (PSO) algorithms. These promising performances could contribute to establishing a structural monitoring system for safety assurance of wind turbine structures.

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Global methodology for damage detection and localization in civil engineering structures

Cited by 48 publications

References 34 publications

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Infrared Thermography Measurement for Vibration-Based Structural Health Monitoring in Low-Visibility Harsh Environments

Seismic vulnerability of structures: application to the Civil Protection building in Andorra

Localizing and quantifying structural damage by means of a beetle swarm optimization algorithm

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