Evidence map›Paper›PMID 37300032›Full record

ArticleSensors (Basel, Switzerland)2023

Advanced Video-Based Processing for Low-Cost Damage Assessment of Buildings under Seismic Loading in Shaking Table Tests.

Antonino Cataldo, Ivan Roselli, Vincenzo Fioriti, Fernando Saitta, Alessandro Colucci, Angelo Tatì, Felice Carlo Ponzo, Rocco Ditommaso, Canio Mennuti, Alessandro Marzani

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Antonino CataldoENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.
Ivan RoselliENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.ORCID 0000-0003-4984-2156
Vincenzo FioritiENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.
Fernando SaittaENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.ORCID 0000-0002-1013-2512
Alessandro ColucciENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.ORCID 0000-0003-4167-1049
Angelo TatìENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.ORCID 0000-0001-9148-0844
Felice Carlo PonzoScuola di Ingegneria, University of Basilicata, 85100 Potenza, Italy.ORCID 0000-0002-6886-6666
Rocco DitommasoScuola di Ingegneria, University of Basilicata, 85100 Potenza, Italy.ORCID 0000-0002-3587-108X
Canio MennutiINAIL-Istituto Nazionale Assicurazione Contro gli Infortuni sul Lavoro, 00144 Rome, Italy.
Alessandro MarzaniDipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, University of Bologna, 85100 Potenza, Italy.ORCID 0000-0001-7697-6729
National Agency for New Technologies, Energy and Sustainable Economic Development · ITUniversity of Basilicata · ITIstituto Nazionale per l'Assicurazione Contro gli Infortuni sul Lavoro · ITUniversity of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper explores the potential of a low-cost, advanced video-based technique for the assessment of structural damage to buildings caused by seismic loading. A low-cost, high-speed video camera was utilized for the motion magnification processing of footage of a two-story reinforced-concrete frame building subjected to shaking table tests. The damage after seismic loading was estimated by analyzing the dynamic behavior (i.e., modal parameters) and the structural deformations of the building in magnified videos. The results using the motion magnification procedure were compared for validation of the method of the damage assessment obtained through analyses of conventional accelerometric sensors and high-precision optical markers tracked using a passive 3D motion capture system. In addition, 3D laser scanning to obtain an accurate survey of the building geometry before and after the seismic tests was carried out. In particular, accelerometric recordings were also processed and analyzed using several stationary and nonstationary signal processing techniques with the aim of analyzing the linear behavior of the undamaged structure and the nonlinear structural behavior during damaging shaking table tests. The proposed procedure based on the analysis of magnified videos provided an accurate estimate of the main modal frequency and the damage location through the analysis of the modal shapes, which were confirmed using advanced analyses of the accelerometric data. Consequently, the main novelty of the study was the highlighting of a simple procedure with high potential for the extraction and analysis of modal parameters, with a special focus on the analysis of the modal shape's curvature, which provides accurate information on the location of the damage in a structure, while using a noncontact and low-cost method.

Indexed as

AccelerometryInterior Design and FurnishingsMotionMotion CaptureSignal Processing, Computer-Assisteddamage locationlow-cost monitoring methodsmodal parameters identificationstructural damagevibrational monitoringvideo based

Identifiers

PMID37300032
PMCPMC10256115
OpenAlexW4379473363

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.