Evidence map›Paper›PMID 36431509›Full record

ArticleMaterials (Basel, Switzerland)2022

Prediction of Strength Properties of Concrete Containing Waste Marble Aggregate and Stone Dust-Modeling and Optimization Using RSM.

Syed Roshan Zamir Hashmi, Muhammad Imran Khan, Shabir Hussain Khahro, Osama Zaid, Muhammad Shahid Siddique, Nur Izzi Md Yusoff

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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 6 papers.

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0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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.

Syed Roshan Zamir HashmiDepartment of Structural Engineering, Risalpur Campus, National University of Sciences & Technology, Islamabad 44000, Pakistan.ORCID 0000-0002-7335-9036
Muhammad Imran KhanDepartment of Transportation and Geotechnical Engineering, Risalpur Campus, National University of Sciences & Technology, Islamabad 44000, Pakistan.ORCID 0000-0002-7185-0622
Shabir Hussain KhahroDepartment of Engineering Management, College of Engineering, Prince Sultan University, Riyadh 11568, Saudi Arabia.ORCID 0000-0002-4836-7253
Osama ZaidDepartment of Civil Engineering, Swedish College of Engineering and Technology, Wah 47080, Pakistan.ORCID 0000-0002-8071-1341
Muhammad Shahid SiddiqueDepartment of Structural Engineering, Risalpur Campus, National University of Sciences & Technology, Islamabad 44000, Pakistan.
Nur Izzi Md YusoffDepartment of Civil Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, Malaysia.ORCID 0000-0003-4449-4981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon footprint reduction, recompense depletion of natural resources, as well as waste recycling are nowadays focused research directions to achieve sustainability without compromising the concrete strength parameters. Therefore, the purpose of the present study is to utilize different dosages of marble waste aggregates (MWA) and stone dust (SD) as a replacement for coarse and fine aggregate, respectively. The MWA with 10 to 30% coarse aggregate replacement and SD with 40 to 50% fine aggregate replacement were used to evaluate the physical properties (workability and absorption), durability (acid attack resistance), and strength properties (compressive, flexural, and tensile strength) of concrete. Moreover, statistical modeling was also performed using response surface methodology (RSM) to design the experiment, optimize the MWA and SD dosages, and finally validate the experimental results. Increasing MWA substitutions resulted in higher workability, lower absorption, and lower resistance to acid attack as compared with controlled concrete. However, reduced compressive strength, flexural strength, and tensile strength at 7-day and 28-day cured specimens were observed as compared to the controlled specimen. On the other hand, increasing SD content causes a reduction in workability, higher absorption, and lower resistance to acid attack compared with controlled concrete. Similarly, 7-day and 28-day compressive strength, flexural strength, and tensile strength of SD-substituted concrete showed improvement up to 50% replacement and a slight reduction at 60% replacement. However, the strength of SD substituted concrete is higher than controlled concrete. Quadratic models were suggested based on a higher coefficient of determination (R

Indexed as

environmentally friendlymarble waste aggregatesnormal strength concreteoptimized mixresponse surface methodologystone dustsustainability

Identifiers

PMID36431509
PMCPMC9698368

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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.