Investigation on Carbonation and Permeability of Concrete with Rice Hush Ash and Shop Solution Addition

Kumar, Manish; Anand, Ashutosh; Chatterjee, Rima; Sharma, Shubham; Maiti, Tushar Kanti; Dwivedi, Shashi Prakash; Saxena, Ambuj; Li, Changhe; Eldin, Elsayed Mohamed Tag

doi:10.3390/ma15176149

Cited by 4 publications

(1 citation statement)

References 62 publications

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“…Optimization is a very essential criterion to enhance the modified mix properties [ 45 – 48 ]. The optimum parametric settings of MS adversely impact the FV and similarly the optimum parametric settings of FV adversely impact MS.…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach

et al. 2023

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A variety of materials, including waste and rubber products, have been used in road construction to improve the performance of bituminous pavements. The present investigation is focused on modifying bitumen using Nitrile rubber (NBR) with different thermosets namely Bakelite (B), Furan Resin (FR), and Epoxy resin (ER). The emphasis of the problem is to arrive at a mix to achieve maximum Marshall Stability (MS) and minimum flow value of Modified Bituminous Concrete. Taguchi DOE technique has been used to design the experiments using Minitab software. Analysis of Variance (ANOVA) and Multi-objective optimization has been performed using the desirability approach in Design expert software. ANOVA analysis predicts that NBR, B, ER, and FR are the major significant parameters for Marshall Stability (MS) and Flow Value (FV). It has also been analyzed from SEM and EDS images of modified bitumen that sample S1 (5% NBR, 10% Bakelite, 10% FR, 2.5% ER) has a fine surface with small pores as compared to sample S34 (10% NBR, 0% Bakelite 10% FR, 2.5% ER). Multi-optimization results suggested the optimal conditions are achieved at NBR-7.6%, Bakelite-4.8%, FR-2.5%, and ER-2.6% for MS and FV. The maximum MS is 14.84 KN and the minimum FV is 2.84 mm is obtained using optimum conditions. To validate the optimization results, the confirmation runs have been conducted, and obtained results are within 5% error with optimal conditions.

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Section: Multi-objective Optimizationmentioning

confidence: 99%

Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach

et al. 2023

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Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures

Alyousef,

Rehman,

Khan

et al. 2023

Case Studies in Construction Materials

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Improvements in the Engineering Properties of Cementitious Composites Using Nano-Sized Cement and Nano-Sized Additives

et al. 2022

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The findings of an extensive experimental research study on the usage of nano-sized cement powder and other additives combined to form cement–fine-aggregate matrices are discussed in this work. In the laboratory, dry and wet methods were used to create nano-sized cements. The influence of these nano-sized cements, nano-silica fumes, and nano-fly ash in different proportions was studied to the evaluate the engineering properties of the cement–fine-aggregate matrices concerning normal-sized, commercially available cement. The composites produced with modified cement–fine-aggregate matrices were subjected to microscopic-scale analyses using a petrographic microscope, a Scanning Electron Microscope (SEM), and a Transmission Electron Microscope (TEM). These studies unravelled the placement and behaviour of additives in controlling the engineering properties of the mix. The test results indicated that nano-cement and nano-sized particles improved the engineering properties of the hardened cement matrix. The wet-ground nano-cement showed the best result, 40 MPa 28th-day compressive strength, without mixing any additive compared with ordinary and dry-ground cements. The mix containing 50:50 normal and wet-ground cement exhibited 37.20 MPa 28th-day compressive strength. All other mixes with nano-sized dry cement, silica fume, and fly ash with different permutations and combinations gave better results than the normal-cement–fine-aggregate mix. The petrographic studies and the Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM) analyses further validated the above findings. Statistical analyses and techniques such as correlation and stepwise multiple regression analysis were conducted to compose a predictive equation to calculate the 28th-day compressive strength. In addition to these methods, a repeated measures Analysis of Variance (ANOVA) was also implemented to analyse the statistically significant differences among three differently timed strength readings.

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Investigation on Carbonation and Permeability of Concrete with Rice Hush Ash and Shop Solution Addition

Cited by 4 publications

References 62 publications

Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach

Multi‑objective optimization of nitrile rubber and thermosets modified bituminous mix using desirability approach

Machine learning-driven predictive models for compressive strength of steel fiber reinforced concrete subjected to high temperatures

Improvements in the Engineering Properties of Cementitious Composites Using Nano-Sized Cement and Nano-Sized Additives

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