C6H18N4 BEHAVIOUR ON REINFORCING-STEEL CORROSION IN CONCRETE IMMERSED IN 0.5 M H2SO4

This paper studies C6H18N4 (Triethylenetetramine; TETA) corrosion-resistance behavior on reinforcing-steel in concreteimmersed in 0.5 M H2SO4. Analyses showed that the corrosion inhibition efficiency increases as theconcentration of C6H18N4 admixture increases, whereby the inhibition efficiency also portrayed excellent correlation model (at r = 98.82%, Nash Sutcliffe Efficiency (NSE) = 97.65%, Analysis of Variance (ANOVA) pvalue = 0.0350) with function of the C6H18N4 concentration admixed in the concrete. The optimal resistance to reinforcing-steel corrosion, in the study, was exhibited in the concrete sample having 0.1824 M C6H18N4 admixture, from which inhibition efficiency η = 94.78% was attained. The results support the suitability of C6H18N4 for inhibiting reinforcing-steel corrosion in concrete for the industrial/microbial medium, simulated by the 0.5 M H2SO4

Bioremediation: Data on Pseudomonas aeruginosa Effects on the Bioremediation of Crude Oil Polluted Soil

This data article details Pseudomonas aeruginosa effects on the bioremediation of soil that had been polluted by different concentrations, 5% w/w and 8% w/w, of raw (for simulating oil spills from wellheads) and treated (for simulating oil spills from flow lines/storage tanks) crude oil. UV/VIS spectrophotometry instrumentation was used for obtaining absorbance measurements from the Nigerian Escravos Light blend (sourced from Chevron® Nigeria) of crude oil polluting soil samples, which, thus, also simulates light and heavy onshore oil spillage scenarios, in a 30-day measurement design. Data on bioremediation effects of Pseudomonas aeruginosa added to the crude oil polluted soil samples, and which were monitored at intervals via the absorbance measurement techniques, are presented in tables with ensuing analyses for describing and validating the data presented in graphs. Information from the presented data in this article is useful to researchers, the oil industries, oil prospecting communities, governments and stakeholders involved in finding solution approach to the challenges of onshore oil spills. This information can also be used for furthering research on bioremediation kinetics such as biostimulant analyses, polluting hydrocarbon content/degradation detailing, by Pseudomonas aeruginosa strain of microorganism, on petroleum pollutant removal from soil that had been polluted by crude oil spillage

Implementation of Data Normality Testing as a Microsoft Excel® Library Function by Kolmogorov-Smirnov Goodness-of-fit Statistics

This paper deliberates on the implementation of data Normality test as a library function in Microsoft Exel® spreadsheet software, in which researchers normally stores data for anlysis and processing, by Kolmogorov-Smirnov goodness-of-fit statistics. The implementation procedure followed algorithmic program development of the Normality Kolmogorov-Smirnov D statistics for the one-sided and the twosided test criteria as a library function in the Microsoft Excel® environment. For this, the Visual Basic for Applications was employed for deploying macro embedment in the spreadsheet software. Successful implementation of the Normality K-S D statistics fosters the development of the Normality K-S p-value estimation procedure also as a library function in the Ms Excel® environment. Tests of these implementations bear potency of accurate, speedy and economical procedure for undertaking Normality testing in research, for data of up to sample size n ≤ 2000

Performance Evaluation of Potassium Dichromate and Potassium Chromate Inhibitors on Concrete Steel Rebar Corrosion

This study investigated the performance of potassium dichromate and potassium chromate inhibitors on the corrosion of steel rebar in concrete partially immersed in sulfuric acid and sodium chloride medium. The open circuit potential corrosion monitoring technique was employed for the acidic and marine simulating environments, and potential readings were taken in accordance with ASTM C 876. Inhibiting quality and uniformity of the inhibitors were then analyzed using an extreme value statistical modeling approach of the Weibull probability density distribution for determining the most efficient inhibitor. In the inhibitor concentrations used, the statistically analyzed experimental results identified 0.145M potassium chromate as exhibiting the best inhibiting quality in sulfuric acid whereas the synergetic admixture of 0.032 M potassium dichromate and 0.097 M potassium chromate was predicted as showing the lowest probability of corrosion risk in sodium chloride solution. However, the overall probabilistic results rated potassium chromate as the best inhibitor compared to potassium dichromate in most of the other concentrations investigated in the study, especially in concrete structures exposed to saline environments

Inhibition of Gram-negative and fungi strains of microbes inducing microbiologically-influenced-corrosion by Tectona grandis cappedn Fe-nanoparticle

In this paper, the inhibition effect by Tectona grandis Capped Fe-nanoparticle on the growth of Gram- negative and fungi strains of microbes (that are known to induce microbiologically-influenced-corrosion of metals) was investigated. For the study, two Gram-negative and two fungi strains of microbes were employed, with comparison of the inhibition performance by the Fe-nanoparticle material (for which leaf-extract from Tectona grandis was employed as precursor) with what obtained from use of an antibi- otic chemical control. Results showed that while the Gram-negative and fungi strains of microbes for the study were resistant to the control antibiotic chemical, they all exhibited sensitivity to the biomaterial-based Fe nanoparticle, which well inhibited their growth. The results from this paper therefore support recommendation on the usage of the Fe bio-synthesized nanoparticle for inhibiting microbiologically-influenced metallic corrosion in environments infested by the Gram-negative and fungi strains of microbes employed in this pape

Data on triethylenetetramine effect on steel‐rebar corrosion‐rate in concrete immersed in 0.5 M H2SO4

Abstract: In this article, the dataset on the effect of different triethylenetetramine (TETA: C6H18N4) concentrations on the corrosion‐rate of steel‐rebar embedment in steel‐reinforced concrete immersed in 0.5 M H2SO4 (for simulating industrial/microbial environment) is presented. The corrosion test‐data was obtained from weekly monitoring, over seven weeks of steel‐reinforced concrete immersion, using linear‐polarizationresistance (LPR) measuring instrument. The dataset and its requisite analyses, as per ASTM G16—13, are presented in graphs and tables. The analyses detailed include descriptive statistics of the Normal, Gumbel and Weibull probability distribution functions (pdf’s), and tests‐of‐fit significance by the Kolmogorov‐ Smirnov goodness‐of‐fit statistics. The detailed information from this corrosion tests dataset is useful for further research on the inhibition mechanism and effectiveness of the triethylenetetramine chemical on the corrosion‐protection of reinforcing‐steel material in steel‐reinforced concrete designed for the industrial/microbial service‐environment

Bioremediation : data on biologically‐mediated remediation of crude oil (Escravos Light) polluted soil using Aspergillus niger

Abstract: This article presents data on Aspergillus niger effects on the biologically‐mediated remediation of soil polluted by raw and treated crude oil (Escravos Light blend). Absorbance of different concentrations of polluted soil samples (5% and 8% w/w) and types (raw and treated), for simulating different onshore crude oil spill, were obtained from the Aspergillus niger inoculated samples using ultra violet‐visible (UV‐Vis) spectrophotometry. This measurement was carried out for each sample at selected intervals for the 30‐ day measurements. The bioremediation data, presented in the article, were subjected to descriptive/analytical statistics of probability density functions and goodness‐of‐fit test‐statistics for dataset‐detailing and dataset‐comparisons. Information details from these data of biologically‐mediated remediation of crude oil polluted soil are useful for furthering research on bioremediation kinetics such as hydrocarbon content analyses, crude oil pollutant removal performance, biodegradation rate parameter and biostimulant efficiencies by the Aspergillus niger effects on the different concentrations of polluted soil

Anticorrosion Performance of Solanum Aethiopicum on Steel-Reinforcement in Concrete Immersed in Industrial/Microbial Simulating-Environment

This paper investigates anticorrosion performance of Solanum aethiopicum leaf-extract on steel-reinforcement in concrete immersed in 0.5 M H2SO4, simulating industrial/microbial environment. For this, corrosion rate by linear polarisation resistance and corrosion potential as per ASTM C876-91 R99 were monitored from steel-reinforced concrete slabs admix ed with different Solanum aethiopicum leaf-extract concentrations and immersed in the acidic test-environment. Obtained test-data were subjected to statistical probability distributions for which compatibilities were tested using Kolmogorov-Smirnov goodness-of-fit statistics, as per ASTM G16-95 R04. These identified all datasets of corrosion test-data, from the steel-reinforced concrete samples, as coming from the Weibull probability distribution. Analysed results showed that Solanum aethiopicum leaf-extract reduced rebar corrosion condition from “high” to “low” corrosion risks of ASTM C876-91 R99. Also, the corrosion rate analyses identified 0.25% Solanum aethiopicum leaf-extract with optimal inhibition efficiency performance, η = 93.99%, while the other concentrations also exhibited good inhibition of steel-reinforcement corrosion in the test-environment

Anticorrosion Behaviour of Rhizophora mangle L. Bark-Extract on Concrete Steel-Rebar in Saline/Marine Simulating Environment

This paper investigates anticorrosion behaviour of the bark-extract from Rhizophora mangle L. on steel-rebar in concrete slabs in 3.5% NaCl medium of immersion (for simulating saline/marine environment). Corrosion-rate, corrosion-current, and corrosion-potential were measured from the NaCl-immersed steel-reinforced concrete cast with admixture of different plant-extract concentrations and from positive control concrete immersed in distilled water. Analyses indicate excellent mathematical-correlation between the corrosion-rate, concentration of the bark-extract admixture, and electrochemical noise-resistance (ratio of the corrosion-potential standard deviation to that of corrosion-current). The 0.4667% Rhizophora mangle L. bark-extract admixture exhibited optimal corrosion-inhibition performance, η = 99.08±0.11% (experimental) or η = 97.89±0.24% (correlation), which outperformed the positive control specimens, experimentally. Both experimental and correlated results followed Langmuir adsorption isotherm which suggests prevalent physisorption mechanism by the plant-extract on the reinforcing-steel corrosion-protection. These findings support Rhizophora mangle L. bark-extract suitability for corrosion-protection of steel-rebar in concrete structure designed for immersion in the saline/marine environmental medium