Evidence map›Paper›PMID 39922826›Full record

ArticleScientific reports2025

Banana fibre-reinforced diatomaceous earth slurry treatment of recycled aggregate for enhanced structural concrete performance.

Habtamu Melesse Dicha, Sandeep Chaudhary, Momin Noman Husain, Ramaswamy Krishnaraj

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Habtamu Melesse DichaFaculty of Civil Engineering, Arba Minch Institute of Technology, Arba Minch university, Arba Minch, Ethiopia.
Sandeep ChaudharyDepartment of Civil Engineering, Indian Institute of Technology Indore, Simrol, Indore, 453552, India.
Momin Noman HusainDepartment of Civil Engineering, Indian Institute of Technology Indore, Simrol, Indore, 453552, India.
Ramaswamy KrishnarajDepartment of Mechanical Engineering, College of Engineering and Technology, Dambi Dollo University, Dembi Dolo, Ethiopia. prof.dr.krishnaraj@dadu.edu.et.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explores the impact of banana fiber-reinforced diatomaceous earth (DE) slurry treatment on recycled concrete aggregate (RCA) and recycled aggregate concrete (RAC) for structural applications. Six types of treated recycled aggregates were prepared by coating their surface with a slurry containing 5% DE, 0-7% banana fiber, and ordinary Portland cement. Various tests assessed the treatment's impact on aggregate and concrete properties. The treatment improved specific gravity, aggregate crushing resistance, impact resistance, and abrasion resistance for up to 5% of banana fiber in the slurry. The formation of additional calcium silicate hydrate (C-S-H) phases contributed to strengthening the microstructure by filling voids and enveloping the aggregate surface. Concrete prepared with treated recycled aggregate showed significant improvements in compressive strength (25.14%), tensile strength (36.58%), and flexural strength (72%) at an optimum 5% fiber content. Non-destructive testing confirmed better surface hardness and internal quality, while microstructural analyses revealed improved bonding and fiber reinforcement. These substantial improvements demonstrate the potential of banana fiber-reinforced DE slurry treatment for sustainable construction practices.

Indexed as

Banana fiberBanana fiber-reinforced diatomaceous earth slurry treatmentDiatomaceous earthRecycled aggregate concreteRecycled concrete aggregate

Identifiers

PMID39922826
PMCPMC11807229

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.