Modeling of Concrete Slump Workability and Compressive Strength in a Normal Concrete with waste Ceramic Tiles Using Artificial Neural Network-Reference-Cited by-同舟云学术

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Modeling of Concrete Slump Workability and Compressive Strength in a Normal Concrete with waste Ceramic Tiles Using Artificial Neural Network

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Gulapa Viron James M.¹,Del Rosario Lawrence B.¹,Diga Sheena Mae D.¹,Gamboa Gissele B.¹,Delos Santos Joshua E.¹,Poso Florante D.¹,Lopez Orlando P.¹,Clemente Stephen John C.¹

Affiliation:

1. FEU – Institute of Technology,Department of Civil Engineering,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10109352/10109274/10109387.pdf?arnumber=10109387

Reference11 articles.

1. Back propagation artificial Neural Network modeling of flexural and compressive strength of concrete reinforced with polypropylene fibers;clemente;Journal of Geomaties,2019

2. EFFECTS OF MINERAL AND CHEMICAL ADMIXTURES ON THE RHEOLOGICAL PROPERTIES OF SELF COMPACTING CONCRETE

3. Investigation of the effects of corrosion on bond strength of steel in concrete using neural network;concha;Conc Comp,2021

4. Reuse of Sanitary Ceramic Wastes as Coarse Aggregate in eco-Efficient Concretes;martínez;Cement and Concrete Composites,2012

5. ‘A Review on the Usage of Ceramic Wastes in Concrete Production", World Academy of Science;zimbili;Engineering and Technology International Journal of Civil and Environmental Engineering,2014

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