Structural health monitoring of a historic masonry tower

Gentile, Carmelo; Guidobaldi, Marco; Saisi, A.

doi:10.1109/eesms.2015.7175872

Cited by 11 publications

(7 citation statements)

References 2 publications

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“…and thus the j-th damped frequency of the structural system f j 1 − ζ 2 j can be estimated performing the mean of the instantaneous damped frequency in Equation (12). The damp-ing ratio can be calculated from the envelope; in fact, by performing the logarithm of Equation (10) it is possible to obtain the linear form [17,18] ln…”

Section: X(t)mentioning

confidence: 99%

“…EMA methods require the knowledge of both structural excitation (input) and structural response (output), while OMA methods allow one to identify the dynamic properties of a system, assumed as linear and time-invariant [2], without knowledge of the structural excitation [3] that is due to ambient vibrations and usually modelled as a stationary [4] white noise [5]. OMA methods can be employed for different purposes such as model validation [6], calibration of Finite Elements Models (FEMs) [7], vibration control [8,9], Structural Health Monitoring (SHM) [10][11][12][13][14], damage detection [15], and structural identification [16][17][18]. Applications of OMA were conducted on bridges [19][20][21], historical buildings [17,22], dams [23], tall buildings [24,25], offshore platforms [26,27], and other kinds of structure [28][29][30].…”

Section: Introduction 1preliminaries and Problem Statementmentioning

confidence: 99%

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An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

2022

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In this paper an innovative and simple Operational Modal Analysis (OMA) method for structural dynamic identification is proposed. It combines the recently introduced Time Domain–Analytical Signal Method (TD–ASM) with the Genetic Algorithm (GA). Specifically, TD–ASM is firstly employed to estimate a subspace of candidate modal parameters, and then the GA is used to identify the structural parameters minimizing the fitness value returned by an appropriately introduced objective function. Notably, this method can be used to estimate structural parameters even for high damping ratios, and it also allows one to identify the Power Spectral Density (PSD) of the structural excitation. The reliability of the proposed method is proved through several numerical applications on two different Multi Degree of Freedom (MDoF) systems, also considering comparisons with other OMA methods. The results obtained in terms of modal parameters identification, Frequency Response Functions (FRFs) matrix estimation, and structural response prediction show the reliability of the proposed procedure.

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Section: X(t)mentioning

confidence: 99%

Section: Introduction 1preliminaries and Problem Statementmentioning

confidence: 99%

An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

2022

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“…Moreover, since the structural input is due to the ambient vibrations (usually modelled as a white noise process [3][4][5]), OMA methods allow to identify the structural system when it is under operative conditions. This kind of methods have been used to identify structural systems [6][7][8], to perform structural health monitoring (SHM) [9][10][11][12][13], to calibrate finite elements models [14] and to detect structural damages [15,16]. OMA methods has been applied on historical buildings [7,17,18], tall buildings [19,20], bridges [21][22][23], masonry structures [24], dams [25], offshore platforms [26,27] and other structural systems [28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

A new OMA method to perform structural dynamic identification: numerical and experimental investigation

Pirrotta

Russotto

2023

Acta Mech

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Operational modal analysis (OMA) methods are nowadays common in civil, mechanical and aerospace engineering to identify and monitor structural systems without any knowledge on the structural excitation provided that the latter is due to ambient vibrations. For this reason, OMA methods are embedded with stochastic concepts and then it is difficult for users that have no-knowledge in signal analysis and stochastic dynamics. In this paper an innovative method useful for structural health monitoring (SHM) is proposed. It is based on the signal filtering and on the Hilbert transform of the correlation function matrix. Specifically, the modal shapes are estimated from the correlation functions matrix of the filtered output process and then the frequencies and the damping ratios are estimated from the analytical signals of the mono-component correlation functions: a complex signals in which the real part represents the correlation function and the imaginary part is its Hilbert transform. This method is very simple to use since requires only few interactions with the users and thus it can be used also from users that are not experts in the aforementioned areas. In order to prove the reliability of the proposed method, numerical simulations and experimental tests are reported also considering comparisons with the most popular OMA methods.

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“…The adopted ultrasonic sensor system can be classified into two major modules, namely, the hardware module and the software module. An ultrasonic sensor has two main parts, (a) the transmitter and (b) the receiver; the transmitter sends out a signal after it has been reflected off the surface or cracks [1,2]. The principle of the ultrasonic sensor emits short bursts of high-frequency sound at regular intervals.…”

Section: Introductionmentioning

confidence: 99%

IoT‐Based Intelligent System for Internal Crack Detection in Building Blocks

Babu¹,

Kumar

Jayagopal

et al. 2022

Journal of Nanomaterials

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Cracks that are detected in concrete structures represent significant damage, and they can lead to a detrimental effect on the structure’s durability. Their identification in a timely manner can help ensure structural safety and guide in-depth maintenance operation. Automatic detection of such cracks has been proposed using internal crack detection utilizing ultrasonic sensors in concrete. Cracks within the concrete can be detected using ultrasonic sensors. In this investigation, we introduced an intelligent method that is aimed at developing a crack detection scheme using ultrasonic sensors. These ultrasonic sensors are used for the detection of cracks in buildings which cannot be seen with our naked eyes; they are capable of alerting authorities via SMS message and providing the cracks’ location via GSM and GPS modules. To monitor internal cracks in the concrete cubes and cylinders, the ultrasonic sensors can be fixed at the centre of the cube which will be used for interval crack monitoring based on crack detection technology. The grade of concrete used for testing is M25, and it is well mixed with the ingredients of cement, fine aggregate, coarse aggregate, and water. The concrete is placed in the cube moulds having the dimensions 150 mm × 150 mm × 150 mm . The cylinders used in the case of the experimental analysis are of the dimensions of 150 mm diameter and 300 mm height. These specimens are cast and kept in the curing tank for 28 days to attain the maximum strength. After completion of the curing period, the specimens were taken out from the tank and weighed. After this weighing process, the cubes and cylinders are about 8.884 kg and 13.399 kg, respectively. The information about the cracks can be displayed on the LCD, and also, the transmitted short message about the cracks can be exchanged between the devices using IoT.

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Structural health monitoring of a historic masonry tower

Cited by 11 publications

References 2 publications

An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

An Innovative Structural Dynamic Identification Procedure Combining Time Domain OMA Technique and GA

A new OMA method to perform structural dynamic identification: numerical and experimental investigation

IoT‐Based Intelligent System for Internal Crack Detection in Building Blocks

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