Research Article
Prediction of Strength and Slump of Silica Fume Incorporated High-Performance Concrete

M.F.M. Zain, M.R. Karim, M.N. Islam, M.M. Hossain, M. Jamil and H.M.A Al-Mattarneh

Asian Journal of Scientific Research, 2015, 8(3), 264-277.


This study describes the development of statistical models to predict strength and slump of silica fume incorporated High-Performance Concrete (HPC). Experimental data of silica fume incorporated HPC mixes were used to develop and validate models. The HPC having compressive strength range of 40-113 MPa and slump range of 180-250 mm were used. Statistical models were developed by regression analysis. The results of prediction by the models showed good agreement with those of experiments and other researchers. The developed models can be used to predict slump and 28 days compressive strength of silica fume incorporated HPC.

ASCI-ID: 8-397

Cited References Fulltext

Similar Articles

Fuel Characterization and Energy Prediction of Malaysian Poultry Processing

Asian Journal of Scientific Research, 2013, 6(3), 498-507.

Assessment of Electric Load Demand and Prediction of Future Load Demand: A Case Study of Akwa Ibom State of Nigeria

Asian Journal of Scientific Research, 2014, 7(4), 525-535.

Cited By

Predicting the compressive strength of silica fume concrete using hybrid artificial neural network with multi-objective grey wolves

Journal of Cleaner Production, 2018, 202(), 54. DOI: 10.1016/j.jclepro.2018.08.065

Estimating the optimal mix design of silica fume concrete using biogeography-based programming

Cement and Concrete Composites, 2018, (), . DOI: 10.1016/j.cemconcomp.2018.11.005

A novel artificial intelligence-aided system to mine historical high-performance concrete data for optimizing mixture design

Expert Systems with Applications, 2023, 212(), 118605. DOI: 10.1016/j.eswa.2022.118605

Callus induction and regeneration in high-altitude Himalayan rice genotype SR4 via seed explant

Biotechnology Reports, 2022, 36(), e00762. DOI: 10.1016/j.btre.2022.e00762

Chemical constituents from twigs and leaves of Actinidia chinensis Planch and their chemotaxonomic significance

Biochemical Systematics and Ecology, 2022, 104(), 104461. DOI: 10.1016/j.bse.2022.104461

Foliar salicylic acid application to mitigate the effect of drought stress on isabgol (Plantago ovata forssk)

Biochemical Systematics and Ecology, 2022, 104(), 104453. DOI: 10.1016/j.bse.2022.104453

Estimation of drought effects on different bread wheat genotypes using morpho-physiological traits

Biochemical Systematics and Ecology, 2022, 104(), 104483. DOI: 10.1016/j.bse.2022.104483

Rational eutectic solvent design by linking regular solution theory with QSAR modelling

Chemical Engineering Science, 2022, 262(), 118042. DOI: 10.1016/j.ces.2022.118042

Inhibitory effect of d-Tryptophan on the spoilage potential of Shewanella baltica and Pseudomonas fluorescens and its potential application in salmon fillet preservation

Food Microbiology, 2022, 108(), 104104. DOI: 10.1016/

Cloud Computing for Geospatial Big Data Analytics

Studies in Big Data, 2019, 49(), 81. DOI: 10.1007/978-3-030-03359-0_4

Investigating the drivers and acceptance of sustainable materials in Kuwait: A case study of CEB

Case Studies in Construction Materials, 2022, 17(), e01330. DOI: 10.1016/j.cscm.2022.e01330

Biogenic Synthesis of Gold Nanoparticles from Physalis peruviana and Application in Wound Healing

Journal of Chemistry, 2022, 2022(), 1. DOI: 10.1155/2022/9034840