Two-years static and dynamic monitoring of the Santa Maria di Collemaggio basilica

Alaggio, Rocco; Aloisio, Angelo; Antonacci, Elena; Cirella, Riccardo

doi:10.1016/j.conbuildmat.2020.121069

Cited by 43 publications

(21 citation statements)

References 36 publications

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“…The empirical correlations allow the estimation of the fundamental vibration period, including only geometric features, in agreement with the experimental data collected by [22,23]. The modal characteristics, such as modal shapes and frequencies, can be experimentally identified to characterize the current conditions of a structure [24][25][26][27], which is the base for the design of the strengthening and retrofitting interventions. Dynamic tests in Operational Conditions are reliable tools for non-destructively characterizing the linear dynamic of historical structures [28][29][30][31][32][33][34].…”

Section: Introductionsupporting

confidence: 62%

Operational Modal Analysis, Model Update and Fragility Curves Estimation, through Truncated Incremental Dynamic Analysis, of a Masonry Belfry

et al. 2021

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Masonry towers, located in seismic zones, are vulnerable and prone to damages up to compromise their stability. The scatter of data on the mechanical properties of masonry, geometry and boundary conditions determine a lack of building knowledge on their expected behaviour. Therefore the assessment of the seismic capacity represents a critical task. This paper contributes to the issue of seismic analysis of masonry towers, focusing a meaningful case study: the St.Silvestro belfry in L’Aquila, Italy. The tower, severely damaged by the 2009 earthquake sequence, underwent extensive restoration works, endeavoured to mitigate its vulnerability. The observed seismic damage, the performed no-destructive testing campaign and the accomplished rehabilitation measures are described in the paper. The authors appraised the actual seismic performances of the St.Silvestro belfry, reinforced by the last restoration works. At first, the Operational Modal Analysis (OMA) is carried out to enhance building knowledge. In a second step, a refined finite element model is calibrated on the results from OMA to seize the actual dynamic response. Ultimately, by using the updated finite element model, the authors estimate the fragility curves in terms of peak ground acceleration using truncated incremental dynamic analyses.

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Section: Introductionsupporting

confidence: 62%

Operational Modal Analysis, Model Update and Fragility Curves Estimation, through Truncated Incremental Dynamic Analysis, of a Masonry Belfry

et al. 2021

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“…Figure 6 shows the contour plot of the variance of the elastic modulus σ E c , given σ 2 f m and σ 2 N c , estimated from Equation (20). Interestingly, σ E c does not strongly depend on the confidence bounds of prestressing given a certain variance of the natural frequency.…”

Section: Resultsmentioning

confidence: 99%

“…Since the 1970s, many researchers focused on structural dynamics as a possible way to estimate prestressing [12][13][14][15][16][17][18]. Vibration-based approaches have been proven successful for damage detection purposes in multiple theoretical analysis and case study analyses [19][20][21][22]. However, so far, none have made successful attempts in identifying the internal prestressing forces using vibration-based approaches.…”

Section: Dynamic-based Methodsmentioning

confidence: 99%

Aspects of Vibration-Based Methods for the Prestressing Estimate in Concrete Beams with Internal Bonded or Unbonded Tendons

Aloisio

2021

Infrastructures

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The estimate of internal prestressing in concrete beams is essential for the assessment of their structural reliability. Many scholars have tackled multiple and diverse methods to estimate the measurable effects of prestressing. Among them, many experimented with dynamics-based techniques; however, these clash with the theoretical independence of the natural frequencies of the forces of internally prestressed beams. This paper examines the feasibility of a hybrid approach based on dynamic identification and the knowledge of the elastic modulus. Specifically, the author considered the effect of the axial deformation on the beam length and the weight per unit of volume. It is questioned whether the uncertainties related to the estimate of the elastic modulus and the first natural frequency yield reasonable estimates of the internal prestressing. The experimental testing of a set of full-scale concrete girders with known design prestressing supports a discussion about its practicability. The author found that the uncertainty in estimating the natural frequencies and elastic modulus significantly undermines a reliable estimate of the prestressing state.

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“…Vibration-based SHM methods based on unsupervised learning techniques have been recently demonstrated in the literature as eminently efficient for early-stage damage detection [1,2,3,4,5,6,7,8,9,10,11,12,13]. Due to their limitation to detection only, more advanced approaches are required in order to address higher levels of damage identification for Cultural Heritage (CH) masonry structures.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Digital Twins for Seismic Structural Health Monitoring of a Monumental Masonry Tower

Kita¹,

Cavalagli²,

Venanzi³

et al. 2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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This paper presents the introduction of Digital Twins in the case of an historic masonry tower for rapidly addressing earthquake-induced damage identification. In the context of the present paper, a digital twin is a model or a suite of models of the considered structure that are updated/modified during time based on monitoring data. In particular, the proposed approach combines Operational Modal Analysis (OMA), Surrogate Modeling (SM) and nonlinear Incremental Dynamic Analysis (IDA). On the one hand, OMA-based Structural Health Monitoring (SHM) systems successfully allow the detection of small structural damages occurring during earthquakes, and on the other, SM exploits the correlation between continuous vibration data and structural stiffnesses while IDA is carried out from a tuned model together with in situ recorded seismic data. The San Pietro bell tower has been considered for the validation of the proposed methodology. The tower is a monumental medieval masterpiece, located in Perugia, Italy, and it represents a relevant case study in the scientific literature due to its important experience during the 2016-2017 seismic sequence that occurred in Central Italy. While the OMA-vibration data processing assessed distinct earthquake-induced changes in its global dynamic behavior, the focus of the present work is the results on the use of linear as well as non-linear modeling, i.e. SM and IDA, respectively, aimed for post-earthquake damage localization and quantification.

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Two-years static and dynamic monitoring of the Santa Maria di Collemaggio basilica

Cited by 43 publications

References 36 publications

Operational Modal Analysis, Model Update and Fragility Curves Estimation, through Truncated Incremental Dynamic Analysis, of a Masonry Belfry

Operational Modal Analysis, Model Update and Fragility Curves Estimation, through Truncated Incremental Dynamic Analysis, of a Masonry Belfry

Aspects of Vibration-Based Methods for the Prestressing Estimate in Concrete Beams with Internal Bonded or Unbonded Tendons

On the Use of Digital Twins for Seismic Structural Health Monitoring of a Monumental Masonry Tower

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