RCEE
Research in Civil and Environmental Engineering

 

Guide for Authors Editorial Team Submission Archive Contact  
Home

 

 

 

CORAL SHELL POWDER CONCRETE AND ITS STRENGTH

T . S. Thandavamoorthy, FIE , Dasarathy, A , K.

Full Article

The large scale production and use of Portland cement and acquisition of aggregates from dredging and quarrying has a dramatic impact on the environment on its degradation. Waste like coral shell is considered to be a material which could be used as binder and as partial replacement of cement. Coral Shell Powder (CSP) exhibits pozzolanic properties in mortar and concrete. The CSP mixture with 10 per cent replacement of cement attains a higher compressive strength of 40.54 N/mm2 than the nominal strength 30.00 N/mm2 of the concrete. The paper presents the mix design of concrete in which CSP has been added as admixture as a partial replacement of cement and also details about the experimental investigation conducted on this concrete involving its testing for the evaluation of mechanical strength.
 

A STUDY ON THE OPTIMUM MOISTURE CONTENT AND MAXIMUM DRY DENSITY OF SANDY AND CLAYEY SOIL STABILIZED BY COPPER TAILINGS

Ramesh Chandra Gupta, Blessen Skariah Thomas

Full Article

 

EXPERIMENTAL TESTING OF RICE HUSK ASH CONCRETE BEAMS

T.S. Thandavamoorthy, FIE , V. Ramasamy

Full Article

 

PREDICTION OF SLUMP AND COMPRESSIVE STRENGTH OF CONCRETE CONTAINING FOUNDRY SAND

Aggarwal Paratibha , Aggarwal Yogesh, Grover Kapil, Subzar ahmad bhat

Full Article

Concrete mix design is a process of proportioning of ingredients in right quantities. Although it is based on sound technical principles and heuristics, the entire process is not in the realm of science and precise mathematical calculations. This paper demonstrates the applicability of Artificial Neural Networks (ANN) and Fuzzy Logic Model for approximate proportioning of concrete mixes with Foundry Sand. For ANN, a trained back propagation neural network model and fuzzy set models are developed to learn experimental data to predict 28-day compressive strength and slump flow, containing 43 concrete mixtures. Inputs of the Fuzzy Logic model and ANN model are cement, water, foundry sand, super plasticizer, water cement ratio, sand (designated as fine aggregate) and coarse aggregate. Outputs are 28-day concrete compressive strength and slump flow for different models.

 

 

 

 

 

 

Copyright© 2013 Jrcee.com official website.