Health assessment and ambient vibration testing of the “Ponte delle Torri” of Spoleto during the 2016–2017 Central Italy seismic sequence

In this review article, the past investigations carried out on heritage structures using Ambient Vibration Test (AVT) and Operational Modal Analysis (OMA) for system identification (determination of dynamic properties like frequency, mode shape and damping ratios) and associated applications are summarized. A total of 68 major research studies on heritage structures around the world that are available in literature are surveyed for this purpose. At first, field investigations carried out on heritage structures prior to conducting AVT are explained in detail. Next, specifications of accelerometers, location of accelerometers and optimization of accelerometer networks have been elaborated with respect to the geometry of the heritage structures. In addition to this, ambient vibration loads and data acquisition procedures are also discussed. Further, the state of art of performing OMA techniques for heritage structures is explained briefly. Furthermore, various applications of system identification for heritage structures are documented. Finally, conclusions are made towards errorless system identification of heritage structures through AVT and OMA.

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“…8. Roselli, Malena, Mongelli et al (2018) Authors have found first four natural frequencies clearly for the bridge structure.…”

Section: Magalhã Esmentioning

confidence: 98%

System Identification of Heritage Structures through AVT and OMA: A Review

Shimpi¹,

Sivasubramanian²,

Singh³

2019

Structural Durability &Amp; Health Monitoring

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“…Having extracted the time-series from the digital video as described above, we take the temporal average on four sets of selected pixels to simulate the signal obtained from four sensors, in order to match the basic BSS requirement, then we apply the McNeill calculation to unveil the modes [5][6]. Focusing on the first four modes, we must consider at least 4 signals, thus m = 4. m = n = 4 (9) where eq. 9 is the BSS requirement condition.…”

Section: Bss With Magnified Motion Datamentioning

confidence: 99%

“…Each of the above four signals can be considered as the measurement time-series received from some "virtual sensors" (i.e. a group of pixels, see Figure 3), acting as input to the second order-BSS algorithm [9]. The first four modes obtained are shown in Figure 6.…”

Section: Bss With 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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“…The instruments were located as in Figure 8, simply laid on horizontal surfaces reachable by scaffoldings, at ground level, at windows and on the roof. Each measured position was acquired for at least 20 minutes at a sampling frequency of 200 Hz, as in previous similar studies of historic masonry buildings [9].…”

Section: Ambient Vibration Measurementsmentioning

confidence: 99%

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

Roselli¹,

Tatì²,

Fioriti³

et al. 2018

ACTA IMEKO

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In the present paper an integrated approach of a wide range of non-destructive tests (NDTs) was applied to study an archeological ruined building located in Rome, the so-called Temple of Minerva Medica. Applied NDTs focused on the monument properties and environmental conditions affecting its structural behavior (geometry, thermal and mechanical properties, microclimatic monitoring, ambient vibration response). Two surveys were performed in August and December 2016 combining 3D laser scanning, thermal infrared, air temperature and relative humidity acquisitions. In addition, high resolution digital images were acquired and processed by stereo-photogrammetry Structure from Motion (SfM) methodology, carried out for detailed reconstruction of the crack pattern of the monument. In order to obtain information on the integrity and consistency of the masonry, a sonic testing of each pillar was also performed. The integration of the above NDTs provided quite complete and comprehensive understanding of the structural behavior and state of the building, reducing the amount of invasive measurements further needed.

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Health assessment and ambient vibration testing of the “Ponte delle Torri” of Spoleto during the 2016–2017 Central Italy seismic sequence

Cited by 62 publications

References 30 publications

System Identification of Heritage Structures through AVT and OMA: A Review

System Identification of Heritage Structures through AVT and OMA: A Review

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

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

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