Evidence map›Paper›PMID 40271855›Full record

ArticleMaterials (Basel, Switzerland)2025

Impact of Collected and Recycled Concrete Plant Washing Water on the Physical, Chemical, and Mechanical Properties of Mortars.

Bechara Haddad, Farjallah Alassaad, Nassim Sebaibi

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Bechara HaddadBuilders Lab, Builders Ecole d'ingénieurs, COMUE Normandie Université, 1 Rue Pierre et Marie Curie, 14610 Epron, France.ORCID 0000-0002-9003-7098
Farjallah AlassaadCMEG, Z.A. de Cardonville, Rue Compagnie D, 14740 Thue et Mue, France.ORCID 0009-0009-2926-4054
Nassim SebaibiBuilders Lab, Builders Ecole d'ingénieurs, COMUE Normandie Université, 1 Rue Pierre et Marie Curie, 14610 Epron, France.ORCID 0000-0002-1241-2745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of washing water from concrete plants is a growing environmental and industrial concern due to its high alkalinity and the presence of suspended solids, chemical admixtures, and dissolved salts. This study investigates the impact of collected and recycled concrete plant washing water on the physical, chemical, and mechanical properties of mortars. Two types of wastewater were analyzed: (1) collected water (CW), obtained from settling tanks with residual suspended particles and chemical compounds, and (2) recycled water (RW), subjected to a complete treatment process including pH stabilization and solid particle removal. The effects of these waters were compared against potable water (PW) through a comprehensive experimental program evaluating the porosity, density, shrinkage, and mechanical performance of mortars. The results indicate that using CW and RW leads to increased porosity, higher shrinkage, and a reduction in compressive and flexural strength, with RW having a more pronounced impact. These changes are attributed to the chemical composition of the water, which affects cement hydration and matrix densification. Despite these drawbacks, the proper treatment and controlled usage of such waters may offer sustainable alternatives to potable water in concrete production, contributing to resource conservation and environmental sustainability.

Indexed as

collected wash waterenvironmental impactmechanical performancemortar propertiesrecycled wash watersustainability

Identifiers

PMID40271855
PMCPMC11990545

What OpenQuestion holds

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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.