Evidence map›Paper›PMID 35629594›Full record

ArticleMaterials (Basel, Switzerland)2022

Estimating the Axial Compression Capacity of Concrete-Filled Double-Skin Tubular Columns with Metallic and Non-Metallic Composite Materials.

Pavithra Chandramouli, Revathy Jayaseelan, Gajalakshmi Pandulu, Veerappan Sathish Kumar, Gunasekaran Murali, Nikolai Ivanovich Vatin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 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. Article
  2. Article
  3. Article
  4. Terpenoids and their gene regulatory networks inFrontiers in plant science · 2022
    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

6 authors.

Pavithra ChandramouliDepartment of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai 600048, India.
Revathy JayaseelanDepartment of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai 600048, India.ORCID 0000-0002-9268-7465
Gajalakshmi PanduluDepartment of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai 600048, India.
Veerappan Sathish KumarFaculty of Civil Engineering, Architecture and Geodesy, University of Split, 21000 Split, Croatia.ORCID 0000-0003-0829-6291
Gunasekaran MuraliPeter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
Nikolai Ivanovich VatinPeter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.ORCID 0000-0002-1196-8004

Funding

The Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program 'Priority 2030' Agreement 075-15-2021-1333 dated 30 September 2021
6 · The paper itself

Abstract

This research focuses on estimating the ACC (axial compression capacity) of concrete-filled double-skin tubular (CFDST) columns. The study utilised algorithms and 'six' evaluation methods (XGBoost, AdaBoost, Lasso, Ridge, Random Forest Regressor and artificial neural network (ANN) architecture-based regression) to study the empirical formulae and utilise the parameters as the research's features, in order to find the best model that has higher and accurate reliability by using the RMSE and R

Indexed as

ACCANNartificial neural networkaxial compression capacityCFDSTconcrete-filled tubessteel tubular

Identifiers

PMID35629594
PMCPMC9144446

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.