Expeditious damage index for arched structures based on dynamic identification testing

Giordano, Ersilia; Mendes, Nuno; Masciotta, Maria Giovanna; Clementi, Francesco; Sadeghi, Neda Haji; Silva, Rui André; Oliveira, Daniel V.

doi:10.1016/j.conbuildmat.2020.120236

Cited by 30 publications

(17 citation statements)

References 43 publications

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“…To this end, dynamic identification performed via non-contact CV-based tools is a very promising alternative to traditional measurements, since dense and continuous points can be followed and their position can be tracked during time, determining dynamic properties of the structure (i.e., natural frequencies and mode shapes), which are extremely sensitive to any mass or stiffness changes induced by damage [19].…”

Section: Introductionmentioning

confidence: 99%

Detecting Damage Evolution of Masonry Structures through Computer-Vision-Based Monitoring Methods

et al. 2022

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Detecting the onset of structural damage and its progressive evolution is crucial for the assessment and maintenance of the built environment. This paper describes the application of a computer-vision-based methodology for structural health monitoring to a shake table investigation. Three rubble stone masonry walls, one unreinforced and two reinforced, were tested under natural earthquake base inputs, progressively scaled up to collapse. White noise signals were also applied for dynamic identification purposes. Throughout the experiments, videos were recorded, under both white noise excitation and environmental vibrations, with the table at rest. The videos were preprocessed with motion magnification algorithms and analyzed through a principal component analysis. The natural frequencies of the walls were detected and their progressive decay was associated with damage accumulation. Results agreed with those obtained from another measurement system available in the laboratory and were consistent with the crack pattern development surveyed during the tests. The proposed approach proved useful to derive information on the progressive deterioration of the structural properties, showing the feasibility of this methodology for real field applications.

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Section: Introductionmentioning

confidence: 99%

Detecting Damage Evolution of Masonry Structures through Computer-Vision-Based Monitoring Methods

et al. 2022

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“…The data recorded by the accelerometers, after being cleaned and processed, give back the dynamic parameters of the structures, like frequencies, modal shapes, and damping. Being the dynamic parameters strictly connected to the actual behaviour of the structure, any change of them can underline a loss of stiffness or mass representative of damage [23][24][25][26]. Ambient sensors are instead used to remove frequencies oscillation connected with humidity and temperature variations.…”

Section: Introductionmentioning

confidence: 99%

Application of a Non-Invasive Technique for the Preservation of a Fortified Masonry Tower

et al. 2022

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The Cultural heritage spread all over the World needs to be preserved with systems that do not compromise its architectural and historical value. Nowadays, the most advanced technology available is the ambient vibration test. It allows to obtain the current frequencies, modal shapes, and damping of structures, without being invasive. The comparison between different monitoring campaigns and their use in combination with Finite Element models can give an insight into the state of structures’ health. This paper presents two ambient vibration tests performed on a fortified masonry tower in the Marche region of Italy, carried out after one year each other, with different temperature and humidity conditions. To extract the structure’s dynamic parameters both a time and a frequency domain approaches were used. The comparison between the parameters obtained during the two experimental campaigns showed similar frequencies and modal shapes underlining that no damage occurred and that the dynamic response of the tower does not suffer temperature and humidity variations. In addition, the steps carried out for a first attempt manual calibration of the tower’s Finite Element model are shown. The match between the numerical model and the experimental data is evaluated through the absolute frequencies’ errors and the Modal Assurance Criteria between the modal vectors. The calibrated numerical model can be used for future and accurate assessment of the tower’s structural capacity.

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“…A great number of studies are based on the comparison of the static or dynamic response of models of damaged structures with respect to the undamaged configuration [1][2][3][4][5][6][7][8][9] and propose damage identification techniques. e latter often require the measurement of different kind of data on the existing structure; these, for example, may concern the variation of dynamic characteristics, such as natural frequencies [10][11][12][13][14][15][16][17][18][19][20], mode shapes [21,22], modal curvature [23,24], and time-frequency features [25], or static quantities, such as displacements or strains induced by applied loads [26][27][28]. By means of the interpretation of the measured responses, these approaches allow us to identify the presence of structural damage without the need to perform visual inspections or destructive investigations.…”

Section: Introductionmentioning

confidence: 99%

On Damage Identification in Planar Frames of Arbitrary Size

Fiore

Greco

Pluchino

2022

Shock and Vibration

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Framed structures are deeply studied in civil engineering since they provide a numerical model for the analysis of the static and dynamic response of multi-storey buildings. In order to evaluate the vibrational properties of these structures, an eigen-problem, which involves the stiffness and mass matrices of the frame, must be solved. Both matrices can be assembled by means of standard methods, which take into account the numbers of degrees of freedom of the frame. The occurrence of concentrated damage in some vulnerable sections modifies the degrees of freedom and therefore both the stiffness and mass matrices. Very often, the critical sections are located in the joints between the structural elements of the frame where the bending moment reaches its maximum value. Assuming that the joints are rigid in the undamaged configuration of the frame, it is possible to take into account their loss of stiffness due to the presence of eventual damage by means of hinges with rotational springs of variable rigidity. In this paper, an original algorithm that allows us to evaluate the stiffness and mass matrices and therefore the natural frequencies of vibration of undamaged and damaged planar frames with an arbitrary number of beams and columns is presented. The proposed algorithm for the stiffness and mass matrices determination requires a few input data which can be provided in a text file and therefore allows us to speed up the procedure with respect to the application of an FEM approach which requires the construction of single models for each considered frame. The results obtained by means of the proposed algorithm have been validated through a comparison with those provided by an FEM model implemented in SAP2000. The natural frequencies obtained by means of the proposed approach are used for the solution of two different inverse problems, which concern the identification of, respectively, the mechanical characteristics of the constitutive material and the location and intensity of the damage. Both the proposed identification procedures deal with optimization algorithms that are based on opportune fitness functions. Applications to frames of different size confirm the validity of the presented identification algorithms. Furthermore, an iterative procedure, able to reduce the required computational burden related to the identification of the location and intensity of damage, is presented and applied in a parametric study concerning frames with increasing size.

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Expeditious damage index for arched structures based on dynamic identification testing

Cited by 30 publications

References 43 publications

Detecting Damage Evolution of Masonry Structures through Computer-Vision-Based Monitoring Methods

Detecting Damage Evolution of Masonry Structures through Computer-Vision-Based Monitoring Methods

Application of a Non-Invasive Technique for the Preservation of a Fortified Masonry Tower

On Damage Identification in Planar Frames of Arbitrary Size

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