Evidence map›Paper›PMID 38419620›Full record

ReviewBulletin of earthquake engineering2024

Seismic assessment of bridges through structural health monitoring: a state-of-the-art review.

Christos Karakostas, Giuseppe Quaranta, Eleni Chatzi, Abdullah Can Zülfikar, Oğuzhan Çetindemir, Guido De Roeck, Michael Döhler, Maria Pina Limongelli, Geert Lombaert, Nurdan Memişoğlu Apaydın and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Bulletin of earthquake engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Christos KarakostasInstitute of Engineering Seismology and Earthquake Engineering, Research Unit of Earthquake Planning and Protection Organization, Thessaloniki, Greece.
Giuseppe QuarantaDepartment of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome, Italy.ORCID 0000-0001-8295-0912
Eleni ChatziDepartment of Civil, Environmental and Geomatic Engineering, ETH Zürich, Zurich, Switzerland.
Abdullah Can ZülfikarDisaster Management Institute, Istanbul Technical University, Istanbul, Türkiye.
Oğuzhan ÇetindemirDepartment of Civil Engineering, Gebze Technical University, Kocaeli, Türkiye.
Guido De RoeckDepartment of Civil Engineering, Katholieke Universiteit Leuven, Leuven, Belgium.
Michael DöhlerUniversité Gustave Eiffel, Inria, COSYS-SII, I4S, Rennes, France.
Maria Pina LimongelliDepartment of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Milan, Italy.
Geert LombaertDepartment of Civil Engineering, Katholieke Universiteit Leuven, Leuven, Belgium.
Nurdan Memişoğlu ApaydınDepartment of Civil Engineering, Istanbul University, Istanbul, Türkiye.
Vikram PakrashiUCD Centre for Mechanics, Dynamical Systems and Risk Laboratory, School of Mechanical and Materials Engineering, University College Dublin, Dublin, Ireland.
Costas PapadimitriouDepartment of Mechanical Engineering, University of Thessaly, Volos, Greece.
Ali YeşilyurtDisaster Management Institute, Istanbul Technical University, Istanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work offers a comprehensive overview of methods related to condition assessment of bridges through Structural Health Monitoring (SHM) procedures, with a particular interest on aspects of seismic assessment. Established techniques pertaining to different levels of the SHM hierarchy, reflecting increasing detail and complexity, are first outlined. A significant portion of this review work is then devoted to the overview of computational intelligence schemes across various aspects of bridge condition assessment, including sensor placement and health tracking. The paper concludes with illustrative examples of two long-span suspension bridges, in which several instrumentation aspects and assessments of seismic response issues are discussed.

Indexed as

BridgeComputational intelligenceCondition assessmentDamage detectionFatih Sultan Mehmet bridgeIdentificationOptimal sensor placementSeismic assessmentStructural health monitoringSuspension bridge

Identifiers

PMID38419620
PMCPMC10896794

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.