Experimental Comparative and Numerical Predictive Stu-dies on Strength Evaluation of Cement Types: Effect of Specimen Shape and Type of Sand

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"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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[10]	A laboratory investigation of the compaction properties of road sub-base stabilised with cement and latex copolymer.
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[11]	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
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[13]	Effect of the Portland-Limestone Cement Grades on the Compressive Strength of Hollow Sandcrete Blocks
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[14]	A new algorithm of neural internal model controller using variable learning rate
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[15]	Effect of Nigerian Portland-Limestone Cement Grades on Concrete Compressive Strength
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[16]	Adaptive Internal Model Neural Networks Control for Nonlinear System
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[17]	Adaptive Direct Inverse Neural Network Control for Nonlinear System
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[1]	Metakaolin-Based Geopolymers Filled with Industrial Wastes: Improvement of Physicochemical Properties through Sustainable Waste Recycling Polymers, 2024 DOI:10.3390/polym16152118

[2]	Optimizing the bituminous pavement constructions with waste plastic materials improved the road constructions performance and their future applications AI in Civil Engineering, 2024 DOI:10.1007/s43503-024-00035-5

[3]	A systematic analysis of binary blend cement concrete infused with lime sludge and fly ash Chemistry of Inorganic Materials, 2024 DOI:10.1016/j.cinorg.2024.100065

[4]	Performance characteristics of sugarcane bagasse ash and quarry dust in concrete Architecture, Structures and Construction, 2023 DOI:10.1007/s44150-023-00096-7

[5]	Performance characteristics of sugarcane bagasse ash and quarry dust in concrete Architecture, Structures and Construction, 2023 DOI:10.1007/s44150-023-00096-7

[6]	Developing Artificial Neural Networks Model for Concrete Mix Design 2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2022 DOI:10.1109/EICEEAI56378.2022.10050473

[7]	An experimental study on strength and durability characteristics of self‐curing self‐compacting concrete Structural Concrete, 2022 DOI:10.1002/suco.202100446

[8]	Developing Artificial Neural Networks Model for Concrete Mix Design 2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2022 DOI:10.1109/EICEEAI56378.2022.10050473

[9]	State of art review on self compacting concrete using mineral admixtures Journal of Building Pathology and Rehabilitation, 2021 DOI:10.1007/s41024-021-00110-9

[10]	State of art review on self compacting concrete using mineral admixtures Journal of Building Pathology and Rehabilitation, 2021 DOI:10.1007/s41024-021-00110-9

[11]	A laboratory investigation of the compaction properties of road sub-base stabilised with cement and latex copolymer. IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/943/1/012015

[12]	Prediction of Concrete Strength Using Support Vector Machines Algorithm Materials Science Forum, 2020 DOI:10.4028/www.scientific.net/MSF.986.9

[13]	Pavement construction using self-compacting concrete: Mechanical properties International Journal of ADVANCED AND APPLIED SCIENCES, 2017 DOI:10.21833/ijaas.2017.08.008

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