Evidence map›Paper›PMID 38067677›Full record

ArticleSensors (Basel, Switzerland)2023

Methodologies and Challenges for Optimal Sensor Placement in Historical Masonry Buildings.

Estefanía Chaves, Alberto Barontini, Nuno Mendes, Víctor Compán, Paulo B Lourenço

Abstract 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
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.

Estefanía ChavesDepartment of Civil Engineering, ISISE, ARISE, University of Minho, 4800-058 Guimarães, Portugal.
Alberto BarontiniDepartment of Civil Engineering, ISISE, ARISE, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0001-8377-8149
Nuno MendesDepartment of Civil Engineering, ISISE, ARISE, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0002-8711-5737
Víctor CompánDepartment of Building Structures and Geotechnical Engineering, University of Seville, 41012 Seville, Spain.ORCID 0000-0002-6478-1833
Paulo B LourençoDepartment of Civil Engineering, ISISE, ARISE, University of Minho, 4800-058 Guimarães, Portugal.ORCID 0000-0001-8459-0199

Funding

Fundação para a Ciência e Tecnologia 2020.07164.BD
6 · The paper itself

Abstract

As ageing structures and infrastructures become a global concern, structural health monitoring (SHM) is seen as a crucial tool for their cost-effective maintenance. Promising results obtained for modern and conventional constructions suggested the application of SHM to historical masonry buildings as well. However, this presents peculiar shortcomings and open challenges. One of the most relevant aspects that deserve more research is the optimisation of the sensor placement to tackle well-known issues in ambient vibration testing for such buildings. The present paper focuses on the application of optimal sensor placement (OSP) strategies for dynamic identification in historical masonry buildings. While OSP techniques have been extensively studied in various structural contexts, their application in historical masonry buildings remains relatively limited. This paper discusses the challenges and opportunities of OSP in this specific context, analysing and discussing real-world examples, as well as a numerical benchmark application to illustrate its complexities. This article aims to shed light on the progress and issues associated with OSP in masonry historical buildings, providing a detailed problem formulation, identifying ongoing challenges and presenting promising solutions for future improvements.

Indexed as

dynamic identificationheritage buildingshistorical masonryoptimal sensor placementstructural health monitoring

Identifiers

PMID38067677
PMCPMC10708342

What OpenQuestion holds

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LicenceCC BY
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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.