Corrosion Resistance Performance of Fly Ash Blended Cement Concrete

10.14359/4332 ◽  
1994 ◽  
Vol 91 (3) ◽  
2014 ◽  
Vol 507 ◽  
pp. 286-290
Author(s):  
V. Rajkumar

The main aim of this investigation is to study the influence of monoethylamine, diethylamine and triethylamine inhibitors on the corrosion resistance performance of 25% fly ash blended cement concrete. These inhibitors were added in dosages of 1%, 2%, 3% and 4% by weight of cement and experimental investigations have been carried out to compare the effectiveness of these three inhibitors with regard to strength and corrosion resistance. The mechanical strength properties studied were compressive, split tensile, flexural and bond strengths. The resistance to corrosion was evaluated based on the performance of the concrete for the penetration of chloride ions by means of impressed voltage technique, Rapid chloride permeability test (RCPT), AC impedance measurement, and weight loss measurement and ultimately the most effective of the three inhibitors and its optimal dosage has been determined.


2018 ◽  
Vol 10 (6) ◽  
pp. 2004 ◽  
Author(s):  
Hector Campos Silva ◽  
Pedro Garces Terradillos ◽  
Emilio Zornoza ◽  
Jose Mendoza-Rangel ◽  
Pedro Castro-Borges ◽  
...  

1993 ◽  
Vol 5 (3) ◽  
pp. 356-371 ◽  
Author(s):  
S. S. Al‐Saadoun ◽  
Rasheeduzzafar ◽  
A. S. Al‐Gahtani

2019 ◽  
Vol 8 (3) ◽  
pp. 4222-4233 ◽  

Cement concrete is the most important construction material which is non-homogeneous in nature. Its strength depends on properties of its many constituent materials are diverse in nature. It is important to fix up exact proportions of these materials beforehand so that needed strength in concrete is obtained later on. Sufficient time is needed to check it by making trial mixes of concrete after fixing up the proportions by theoretical calculations and testing these trial mixes after 28 days. In this duration concreting work may be held up in the absence of a final approved mix in terms of quantities of various constituents of concrete. Use of artificial neural networks (ANNs) for the checking of design composition of fly ash blended cement concrete mixes which were designed as per Indian standard guidelines has been made. Prediction of strength of such mixes at a later date by ANN has also been explored in this study. Prediction results of ANNs come close to experimental values and reinforce the utility of ANNs in the area of use of civil engineering materials for improving efficiency in construction


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