2017
DOI: 10.1007/978-3-319-52132-9_19
|View full text |Cite
|
Sign up to set email alerts
|

Effect of C5H11NO2S on Reinforcing-Steel Corrosion in Concrete Immersed in Industrial/Microbial Simulating-Environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
4
3

Relationship

3
4

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 43 publications
0
3
0
Order By: Relevance
“…For ascertaining whether the duplicated raw data of absorbance measurements from each system of crude oil polluted soil design exhibited significant difference, or otherwise, from one another, the analytical method of the Student's t-test statistics was applied to the data [24,[36][37][38]. For this betweenduplicate test-of-significance statistical technique, the homeoscedastic (equal variance) and the heteroscedastic (unequal variance) assumptions [38][39][40][41] were employed as between-duplicate data validation tool [25]. The test-of-significance threshold for the t-test statistics is at p ≥ 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…For ascertaining whether the duplicated raw data of absorbance measurements from each system of crude oil polluted soil design exhibited significant difference, or otherwise, from one another, the analytical method of the Student's t-test statistics was applied to the data [24,[36][37][38]. For this betweenduplicate test-of-significance statistical technique, the homeoscedastic (equal variance) and the heteroscedastic (unequal variance) assumptions [38][39][40][41] were employed as between-duplicate data validation tool [25]. The test-of-significance threshold for the t-test statistics is at p ≥ 0.05.…”
Section: Methodsmentioning
confidence: 99%
“…These steel-reinforced concrete samples have concentrations, with respect to concrete mixing water, of I. gabonensis leaf-extract admixture ranging from 0.00 g/L (control) in increments of 1.67 g/L up to 8.33 g/L. As per ASTM G16-95 R04 [35], corrosion rate dataset from each sample was subjected to the statistical analyses of the Weibull probability distribution function (pdf) [36][37][38], and test of dataset compatibility to the pdf by the Kolmogorov-Smirnov goodness-of-fit statistics [36,[39][40]. Based on these, the Weibull mean, μ, of corrosion rate from these statistical analyses thus finds usefulness for inhibition efficiency, η, estimation using the relationship [30,[36][37]:…”
Section: Methodsmentioning
confidence: 99%
“…Among these corrosion mitigation methods, the corrosion inhibitor admixture in concrete is receiving great attention because it is among the most cost-effective and easily applied technique of tackling concrete steel-rebar corrosion in aggressive environments [14, 19, 22, 23, 29, 30, 40, 41]. However, problems persist on corrosion inhibitor usage, especially, due to the fact that well-known substances for inhibiting corrosion of steel-rebar, such as chromates and nitrites, also exhibited toxicity and hazardousness to the environmental ecosystems [4143].…”
Section: Introductionmentioning
confidence: 99%