Evidence map›Paper›PMID 36560186›Full record

ArticleSensors (Basel, Switzerland)2022

Operational and Analytical Modal Analysis of a Bridge Using Low-Cost Wireless Arduino-Based Accelerometers.

Seyedmilad Komarizadehasl, Pierre Huguenet, Fidel Lozano, Jose Antonio Lozano-Galant, Jose Turmo

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  8. Low-Cost Technologies Used in Corrosion Monitoring.Sensors (Basel, Switzerland) · 2023
    Review
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

5 authors at 2 institutions in 1 country.

Seyedmilad KomarizadehaslDepartment of Civil and Environment Engineering, Universitat Politècnica de Catalunya, BarcelonaTech. C/Jordi Girona 1-3, 08034 Barcelona, Spain.ORCID 0000-0002-9010-2611
Pierre HuguenetAcoustic, Vibration and Fluid Dynamics Discipline of SENER Company, Parc de l'Alba C/Creu Casas i Sicart, 86-87, Cerdanyola del Vallès, 08290 Barcelona, Spain.
Fidel LozanoDepartment of Civil Engineering, Universidad de Castilla-La Mancha., Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.
Jose Antonio Lozano-GalantDepartment of Civil Engineering, Universidad de Castilla-La Mancha., Av. Camilo Jose Cela s/n, 13071 Ciudad Real, Spain.ORCID 0000-0003-0741-0566
Jose TurmoDepartment of Civil and Environment Engineering, Universitat Politècnica de Catalunya, BarcelonaTech. C/Jordi Girona 1-3, 08034 Barcelona, Spain.ORCID 0000-0001-5001-2438
Universitat Politècnica de Catalunya · ESUniversity of Castilla-La Mancha · ES

Funding

Secretaria d' Universitats i Recerca de la Generalitat de Catalunya, Catalunya, Spain 2017 SGR 1482Spanish Agencia Estatal de Investigación del Ministerio de Ciencia Innovación y Universidades PRE2018-083238Spanish Ministry of Economy and Competitiveness BIA2017-86811-C2-1-RSpanish Ministry of Economy and Competitiveness BIA2017-86811-C2-2-R
6 · The paper itself

Abstract

Arduino-based accelerometers are receiving wide attention from researchers to make long-term Structural Health Monitoring (SHM) feasible for structures with a low SHM budget. The current low-cost solutions found in the literature share some of the following drawbacks: (1) high noise density, (2) lack of wireless synchronization, (3) lack of automatic data acquisition and data management, and (4) lack of dedicated field tests aiming to compare mode shapes from Operational Modal Analysis (OMA) with those of a digital model. To solve these problems, a recently built short-span footbridge in Barcelona is instrumented using four Low-cost Adaptable Reliable Accelerometers (LARA). In this study, the automatization of the data acquisition and management of these low-cost solutions is studied for the first time in the literature. In addition, a digital model of the bridge under study is generated in SAP2000 using the available drawings and reported characteristics of its materials. The OMA of the bridge is calculated using Frequency Domain Decomposition (FDD) and Covariance Stochastic Subspace Identification (SSI-cov) methods. Using the Modal Assurance Criterion (MAC), the mode shapes of OMA are compared with those of the digital model. Finally, the acquired eigenfrequencies of the bridge obtained with a high-precision commercial sensor (HI-INC) showed a good agreement with those obtained with LARA.

Indexed as

AccelerometryArduinoFDDIoT-based sensorlong-term monitoringlow-cost accelerometerOperational Modal AnalysisSSI-cov

Identifiers

PMID36560186
PMCPMC9781333
OpenAlexW4311377028

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.