Evidence map›Paper›PMID 30658508›Full record

ArticleMaterials (Basel, Switzerland)2019

The Nature-Inspired Metaheuristic Method for Predicting the Creep Strain of Green Concrete Containing Ground Granulated Blast Furnace Slag.

Łukasz Sadowski, Mohd Nikoo, Mohd Shariq, Ebrahim Joker, Sławomir Czarnecki

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Łukasz SadowskiFaculty of Civil Engineering, Wroclaw University of Science and Technology, WybrzezeWyspiańskiego 27, 50-370 Wroclaw, Poland. lukasz.sadowski@pwr.edu.pl.ORCID 0000-0001-9382-7709
Mohd NikooDepartment of Civil Engineering, Aligarh Muslim University, Aligarh 202001, India. mshariqdce@gmail.com.ORCID 0000-0003-2130-0355
Mohd ShariqDepartment of Civil Engineering, Aligarh Muslim University, Aligarh 202001, India. mshariqdce@gmail.com.ORCID 0000-0003-2130-0355
Ebrahim JokerDepartment of Civil Engineering, Dariun Branch, Islamic Azad University, Dariun, Iran. joker_ebrahim@yahoo.com.
Sławomir CzarneckiFaculty of Civil Engineering, Wroclaw University of Science and Technology, WybrzezeWyspiańskiego 27, 50-370 Wroclaw, Poland. slawomir.czarnecki@pwr.edu.pl.ORCID 0000-0001-8021-943X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to develop a nature-inspired metaheuristic method to predict the creep strain of green concrete containing ground granulated blast furnace slag (GGBFS) using an artificial neural network (ANN)model. The firefly algorithm (FA) was used to optimize the weights in the ANN. For this purpose, the cement content, GGBFS content, water-to-binder ratio, fine aggregate content, coarse aggregate content, slump, the compaction factor of concrete and the age after loading were used as the input parameters, and in turn, the creep strain (

Indexed as

artificial neural networksconcretecreep strainfirefly algorithmground granulated blast furnace slag

Identifiers

PMID30658508
PMCPMC6356643

What OpenQuestion holds

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Registered trials

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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.