Data on effect of a reducer of water and retarder of setting time admixtures of cement pastes and mortar in hardened stat.

Data Brief

Laboratory of Agro resources Polymers and Process engineering (LAPPE), Team of Macromolecular & Organic Chemistry, Faculty of Sciences, Ibn Tofail University, BP 133, 14000 Kenitra, Morocco.

Published: June 2018

The aim of this work is to study the influence of the admixture of superplasticizers on the physical properties of cement paste to know the initial and final time, water content and mechanical performance of concrete. In this work we have incorporated an Advanced Superplasticité for Prolonged Slump Retention (ASPPSR402) in the formulation matrix of concrete at different percentages ranging from 0.5% to 5% by weight of cement with a step of 0.5%, while partially substituting the mixing water by the last one to reduce the amount of water used. The obtained results by different prospected formulations show that the admixture of ASPPSR402 in formulations matrix significantly reduces the (Water/Cement "W/C") ratio. Subsequently, we observed that the initial and final time increases in function of the percentage of ASPPSR402. Similarly, the compressive strength at the young age, median age and long-term has been improved.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996315PMC
http://dx.doi.org/10.1016/j.dib.2018.03.050DOI Listing

Publication Analysis

Top Keywords

initial final
8
final time
8
data reducer
4
water
4
reducer water
4
water retarder
4
retarder setting
4
setting time
4
time admixtures
4
admixtures cement
4

Similar Publications

Retinal detachment after acute retinal necrosis: a retrospective analysis of hospitalized patients.

Jpn J Ophthalmol

January 2025

Department of Visual Science and Ophthalmology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Purpose: To review hospitalized patients with Acute Retinal Necrosis (ARN) and investigate factors associated with subsequent retinal detachment (RD).

Study Design: Retrospective.

Methods: The study included 40 patients (42 eyes), categorized into non-RD (23 eyes) and RD (19 eyes) groups.

View Article and Find Full Text PDF

Liver cancer poses a global health challenge with limited therapeutic options. Notably, the limited success of current therapies in patients with primary liver cancers (PLCs) may be attributed to the high heterogeneity of both hepatocellular carcinoma (HCCs) and intrahepatic cholangiocarcinoma (iCCAs). This heterogeneity evolves over time as tumor-initiating stem cells, or cancer stem cells (CSCs), undergo (epi)genetic alterations or encounter microenvironmental changes within the tumor microenvironment.

View Article and Find Full Text PDF

Reducing Healing Period with DDM/rhBMP-2 Grafting for Early Loading in Dental Implant Surgery.

Tissue Eng Regen Med

January 2025

Department of Oral and Maxillofacial Surgery, Section of Dentistry, Seoul National University Bundang Hospital, 172 Dolma-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea.

Background: Traditionally, dental implants require a healing period of 4 to 9 months for osseointegration, with longer recovery times considered when bone grafting is needed. This retrospective study evaluates the clinical efficacy of demineralized dentin matrix (DDM) combined with recombinant human bone morphogenetic protein-2 (rhBMP-2) during dental implant placement to expedite the osseointegration period for early loading.

Methods: Thirty patients (17 male, 13 female; mean age 55.

View Article and Find Full Text PDF

Biomarkers play a pivotal role in the selection and enrollment of trial participants. Particularly, predictive biomarkers help tailor medical care to individual patients; however, also prognostic biomarkers require consideration at the design stage. At the time of initiating a clinical trial, there may be uncertainty about whether a biomarker is predictive or prognostic, and the trial design may need to account for this.

View Article and Find Full Text PDF

Mapping the chemical reaction pathways and their corresponding activation barriers is a significant challenge in molecular simulation. Given the inherent complexities of 3D atomic geometries, even generating an initial guess of these paths can be difficult for humans. This paper presents an innovative approach that utilizes neural networks to generate initial guesses for reaction pathways based on the initial state and learning from a database of low-energy transition paths.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!