Engineering

Engineering

ISSN Print: 1947-3931
ISSN Online: 1947-394X
www.scirp.org/journal/eng
E-mail: eng@scirp.org
"Experimental Comparative and Numerical Predictive Stu-dies on Strength Evaluation of Cement Types: Effect of Specimen Shape and Type of Sand"
written by Hossam Hodhod, Mostafa A. M. Abdeen,
published by Engineering, Vol.2 No.8, 2010
has been cited by the following article(s):
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[1] An experimental study on strength and durability characteristics of self‐curing self‐compacting concrete
Structural Concrete, 2022
[2] Applications of plastic waste materials in bituminous mixes pavement for increasing the strengthen of pavement materials
2022
[3] Evaluation of the Effects of Nigerian Portland-Limestone Cement Grades on the Strength of Concrete
European Journal of …, 2022
[4] Investigating the Compressive Strength Properties of Concrete Using Some Common Ghanaian Ordinary Portland Cements
International Journal of …, 2021
[5] State of art review on self compacting concrete using mineral admixtures
2021
[6] Prediction of Concrete Strength Using Support Vector Machines Algorithm
2020
[7] A laboratory investigation of the compaction properties of road sub-base stabilised with cement and latex copolymer.
2020
[8] Comparative analysis of the properties of concrete produced with Portland Limestone Cement (PLC) grade 32.5 n and 42.5 r for use in rigid pavement work
Global Journal of Engineering Research, 2016
[9] AIMC. pdf
2014
[10] Effect of the Portland-Limestone Cement Grades on the Compressive Strength of Hollow Sandcrete Blocks
KK Adewole, GM Ayininula, WO Ajagbe, O Akinade - waset.org, 2014
[11] A new algorithm of neural internal model controller using variable learning rate
A ERRACHDI, M BENREJEB - naun.org, 2014
[12] Effect of Nigerian Portland-Limestone Cement Grades on Concrete Compressive Strength
International Journal of Civil and Environmental Engineering, 2014
[13] Adaptive Internal Model Neural Networks Control for Nonlinear System
A ERRACHDI, M BENREJEB - europment.org, 2013
[14] Adaptive Direct Inverse Neural Network Control for Nonlinear System
IJCSES, 2011
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