Integrated approach to structural diagnosis by non-destructive techniques: the case of the Temple of Minerva Medica

Roselli, Ivan; Tatì, Angelo; Fioriti, Vincenzo; Bellagamba, Irene; Mongelli, Marialuisa; Romano, Roberto; Canio, Gerardo De; Barbera, Mariarosaria; Cianetti, Marina Magnani

doi:10.21014/acta_imeko.v7i3.558

Cited by 6 publications

(6 citation statements)

References 12 publications

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“…In particular, an average value of about 1550 kg/m 3 was assumed for the main structure, and with respect to ancient Roman construction techniques, lighter masonry (with lower mass density) was assumed for the dome. The dynamic elastic modulus of the original structure has been defined from the sonic velocities provided by Roselli et al [22], who applied the well-known equation of wave transmission. The experimental results highlighted two groups of pillars with similar sonic velocities; consequently, the south masonry was evaluated using the average velocities of pillars P1, P2, P9, and P10 while the north masonry was evaluated using the average velocities of the remaining pillars, P3, P4, P5, P6, P7, and P8 (Figure 1b).…”

Section: Finite-element Modelmentioning

confidence: 99%

“…In previous experimental campaigns [22], data on the masonry elements was collected through sonic testing, and the dynamic features of the temple were extracted with different instruments, recordings, and extraction methods. In addition, the rail-traffic vibrations were also monitored with two MEMS accelerometers positioned at the base of the temple.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Modeling of Minerva Medica to Identify the Dynamic Effects of Rail-Traffic Vibrations

et al. 2023

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A comprehensive study was carried out to integrate information from different sources and evaluate the effects of induced vibrations on a temple. Historical analysis was fundamental to interpreting the evolution of the construction and defining the HBIM. Experimental data were implemented in the FEM of the site, including the temple, its foundations, and the soil stratifications. Sensitivity analysis was carried out to identify the most influential parameters, which were calibrated to reduce error with the experimental frequencies. The FEM was further optimized with the Douglas–Reid method, considering, simultaneously, modal frequencies and deformations. Two different nonlinear dynamic analyses were performed; one analysis studied the effect on the temple of the dynamically moving load of the tram, and the other analysis studied the response of the temple to three-dimensional accelerations applied at the base. The drawbacks of each simulation were identified by comparing the numerical and experimental results.

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Section: Finite-element Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Modeling of Minerva Medica to Identify the Dynamic Effects of Rail-Traffic Vibrations

et al. 2023

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“…The main hall of the complex was probably a nymphaeum, with a large decagonal polylobate hall of 25 m width and an overall height of 32 m. After several partial collapses and restoration interventions in the past, the size of the main hall is today almost unchanged, except for the height, which is currently slightly reduced. During the period 2016-2018, extensive monitoring campaigns were performed, combining vibration monitoring, 3D geometric laser scanning, thermal infrared and microclimatic acquisitions [14,17,18].…”

Section: The So-called Temple Of Minerva Medica In Romementioning

confidence: 99%

Motion Magnification Applications for the Protection of Italian Cultural Heritage Assets

Fioriti

Roselli

Cataldo

et al. 2022

Sensors

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In recent years, the ENEA has introduced a novel methodology based on motion magnification (MM) into the Italian cultural heritage protection and monitoring field. It consists of a digital video signal processing technique able to amplify enormously the tiny movements recorded in conventional videos, while preserving the general topology of the acquired frames. Though the idea of such a methodology is not new, it has recently been provided with an efficient algorithm that makes possible a viable and low-cost magnification. Applications are extremely varied in almost every field of science and technology; however, we are interested in its application to the safeguarding of architectural heritage, a sector of the utmost importance for Italy. As ancient buildings can be extremely sensitive to even minimally invasive instrumentation, most common monitoring sensors can be replaced by contactless tools and methods, such as video-based techniques like MM. It offers many advantages: easy to use, contactless devices, virtual sensors, reusability of the videos, practicality, intuitive graphical results, quantitative analyses capability and low costs. These characteristics are well suited to the monitoring of large ancient monuments; on the other hand, historical sites have peculiarities of their own, requiring careful approaches, proper tools and trained personnel. Moreover, outdoor applications of MM present quite notable difficulties from a practical point of view, e.g., the dimensions of the studied objects, uncontrolled environmental conditions, spurious vibrations, lighting change/instability, etc. Here we give a general idea of the potential of MM and related issues, using some relevant in-the-field case studies in Italian heritage protection.

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“…In any case, manmade vibrations may be considered of low intensity. The camera is positioned on the road near the monument hence wind and traffic affect its stability too [11].…”

Section: The Magnified Motion Datamentioning

confidence: 99%

Modal Identification From Motion Magnification of Ancient Monuments Supported by Blind Source Separation Algorithms

Fioriti¹,

Roselli²,

Canio³

2019

Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Motion Magnification (MM) is an emerging video processing methodology that acts like a microscope for motion in digital videos. Hardly visible motions are magnified leaving unchanged the general topology of the image. Therefore, the micro-displacements produced by vibrations can be amplified greatly and made available to the standard frequency domain analysis. The MM was recently successfully explored as a viable method to perform modal identification, at least in laboratory. In outdoor environment ambient vibration acquisitions are unavoidably affected by significant noise disturbing the modes identification. However, the first three or four modes, which are usually the most relevant to the dynamic behaviour of most structures, can be identified with little supervision, possibly reducing the calculation requirements as much as possible. All these tasks may be accomplished using MM together with the Blind Source Separation (BSS) algorithm. BSS allows the separation of mixed signals without previously known information about the mixture. MM provides the data while the BSS improves the identification of the modes by separating their contribution within the mixed noisy signals. A case-study is proposed to explore the application of the methodology to large ancient masonry structures, which represent very challenging objects for their structural complexities and heterogeneities. In particular, the studied structure was represented by an ancient bridge, the Ponte delle Torri, Spoleto. Due to the outdoor environmental difficulties, to the state of damage of the bridge and to the high level of noise in the video footages, this case-study has to be considered a very demanding one, nevertheless the modes were identified with good approximation in comparison to the results by Operational Modal Analysis (OMA) techniques, applied to ambient vibration data from seismographs equipped with accurate triaxial velocimeters.

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Integrated approach to structural diagnosis by non-destructive techniques: the case of the Temple of Minerva Medica

Cited by 6 publications

References 12 publications

Integrated Modeling of Minerva Medica to Identify the Dynamic Effects of Rail-Traffic Vibrations

Integrated Modeling of Minerva Medica to Identify the Dynamic Effects of Rail-Traffic Vibrations

Motion Magnification Applications for the Protection of Italian Cultural Heritage Assets

Modal Identification From Motion Magnification of Ancient Monuments Supported by Blind Source Separation Algorithms

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