Evidence map›Paper›PMID 35153609›Full record

ReviewProceedings. Mathematical, physical, and engineering sciences2022

Structural engineering from an inverse problems perspective.

A Gallet, S Rigby, T N Tallman, X Kong, I Hajirasouliha, A Liew, D Liu, L Chen, A Hauptmann, D Smyl

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Proceedings. Mathematical, physical, and engineering sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Introduction: frontiers of applied inverse problems in science and engineering.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    Article
  4. Learning latent hardening: enhancing deep learning with domain knowledge for material inverse problems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025
    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

10 authors.

A GalletDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.ORCID 0000-0003-4939-9916
S RigbyDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
T N TallmanSchool of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA.
X KongDepartment of Physics and Engineering Science, Coastal Carolina University, Conway, SC, USA.ORCID 0000-0001-5134-7432
I HajirasoulihaDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
A LiewDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
D LiuSchool of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.
L ChenDepartment of Civil and Structural Engineering, University of Sheffield, Sheffield, UK.
A HauptmannResearch Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.ORCID 0000-0002-3756-8121
D SmylDepartment of Civil, Coastal, and Environmental Engineering, University of South Alabama, Mobile, AL, USA.ORCID 0000-0002-6730-5277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural responses given data including external forces, geometry, member sizes, restraint, etc.-characterizing a

Indexed as

inverse problemsmachine learningnon-destructive testing and evaluationsmart materials and structuresstructural designstructural engineering

Identifiers

PMID35153609
PMCPMC8791046

What OpenQuestion holds

Textmetadata
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.