OMA: From Research to Engineering Applications

Russotto, Salvatore; Matteo, Alberto Di; Masnata, Chiara; Pirrotta, Antonina

doi:10.1007/978-3-030-74258-4_57

Cited by 6 publications

(22 citation statements)

References 16 publications

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“…For systems that have equal masses, the modal shapes can be estimated by performing an SVD of the correlation functions matrix, but if the structural system has different masses, TD-ASM cannot identify the modal shapes except the dominant one. However, also in the cases of different masses, the frequencies and the damping ratios can be identified with sufficient accuracy, and the discrepancy between the estimated dominant modal shape and the exact one is very low and less than that reported by other OMA methods [18].…”

Section: State Of the Artmentioning

confidence: 73%

“…For the sake of clarity, in this subsection, all the steps of each part are described in detail. TD-ASM is a recently introduced time domain OMA method that can be considered as a modified version of the ASM [18]. For SDoF systems, ASM estimates the natural frequency and the damping ratio, respectively, from the phase and the envelope of the AS of the response's correlation functions.…”

Section: Proposed Methodsmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

“…The Time Domain-Analytical Signal Method (TD-ASM) is a recent OMA method very similar to ASM but entirely developed in the time domain [18]. In TD-ASM, firstly the correlation functions matrix of the structural response is decomposed into mono-component correlation functions by using an SVD, and then the natural frequencies and the damping ratios can be estimated from the AS of the mono-component correlation functions [18]. For systems that have equal masses, the modal shapes can be estimated by performing an SVD of the correlation functions matrix, but if the structural system has different masses, TD-ASM cannot identify the modal shapes except the dominant one.…”

Section: State Of the Artmentioning

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: State Of the Artmentioning

confidence: 73%

Section: Proposed Methodsmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

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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Vibration Based Structural Health Monitoring: A Real Case Study Framed into Cultural Heritage

Russotto,

Masnata,

Pirrotta

2024

Lecture Notes in Civil Engineering

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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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OMA: From Research to Engineering Applications

Cited by 6 publications

References 16 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

Vibration Based Structural Health Monitoring: A Real Case Study Framed into Cultural Heritage

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

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