Experimental Analysis of Non-Destructive Testing (NDT) on Ground Granulated Blast-Furnace Slag (GGBS) based Geopolymer Concrete

Patil, Shabarish V.; Chabbi, Sachin; Chabbi, Soundarya; Pudakalkatti, Nikhil; Patil, Pavana

doi:10.29294/ijase.5.4.2019.1137-1145

Cited by 3 publications

(1 citation statement)

References 5 publications

(6 reference statements)

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“…A study conducted by V. Patil et al [51] showed that the compressive strength of geopolymer concrete is higher at oven curing temperature compared to that at ambient curing temperature, as dissolution of alumina and silica in an alkaline solution is better at high temperatures. Similarly, as the concrete ages, a slightly higher compression strength can be attained.…”

Section: Strength Requirements and Parameter Selectionmentioning

confidence: 99%

Cost Analysis of Various Factors for Geopolymer 3D Printing of Construction Products in Factories and on Construction Sites

Munir¹,

Kärki²

2021

Recycling

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The utilization of geopolymer 3D printing for construction products in recent years has been exceptionally substantial, owing to their low carbon dioxide emissions, high-performance properties such as durability, and good thermal and mechanical properties. This automated manufacturing process reduces the need for additional formworks, capital investments, and human resources. Geopolymer 3D printing development is emerging because of its advanced use in construction applications. However, high costs of the initial stages of geopolymer production and 3D printing has inhibited the development of this technology in many countries. This research presents a comprehensive economic evaluation of the investment for each principal stage that facilitates a better deployment of the resources. The study investigated all phases of geopolymer production, from the extraction of raw materials to printing. The cost for the four fundamental stages, namely raw material availability and transportation, pretreatments for raw materials, parameter selection and strength requirements, and printing in factories and on construction sites, were analyzed. The results show that 3D printing of a geopolymer on a construction site is economically more advantageous compared to printing in the factory. The study also verified that raw material transportation cost has the least effect on the finished product cost, whereas pretreatments of raw material and mixing parameters significantly influenced the ultimate cost of the product. Finally, research work suggested the need for future tasks to make geopolymer 3D printing a viable construction approach.

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Section: Strength Requirements and Parameter Selectionmentioning

confidence: 99%

Cost Analysis of Various Factors for Geopolymer 3D Printing of Construction Products in Factories and on Construction Sites

Munir¹,

Kärki²

2021

Recycling

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Using of metakaolin to produce colored geopolymer concrete

Hameed

Ali

2021

J. Phys.: Conf. Ser.

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This study was related to produce colored geopolymer concrete using metakaolin and adding two types of red (iron oxide) and green (chromium oxide) pigments with three additional ratios for each of the listed colors (0, 2, 4, 6 )% wt of metakaolin, and study some mechanical properties of colored geopolymer concrete. The experimental investigation has dealt with the fresh properties(slump) of the colored geopolymer concrete mixes as well as some of the mechanical properties of the hardened concrete by testing specimens in compressive strength, modulus of rupture, Rebound number (RN), and ultrasonic pulse velocity (UPV). Show us that (2% wt) pigment percentage gives the best results.

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Prediction of Geopolymer Concrete Compressive Strength Utilizing Artificial Neural Network and Nondestructive Testing

Almasaeid

Alkasassbeh

Yasin

2022

Civil and Environmental Engineering

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A promising substitute for regular concrete is geopolymer concrete. Engineering mechanical parameters of geopolymer concrete, including compressive strength, are frequently measured in the laboratory or in-situ via experimental destructive tests, which calls for a significant quantity of raw materials, a longer time to prepare the samples, and expensive machinery. Thus, to evaluate compressive strength, non-destructive testing is preferred. Therefore, the objective of this research is to develop an artificial neural network model based on the results of destructive and non-destructive tests to assess the compressive strength of geopolymer concrete without needing further destructive tests. According to the artificial neural network analysis developed in this study, the compressive strength of geopolymer concrete can be predicted rather accurately by combining the results of the non-destructive with R 2 of 0.9286.

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Experimental Analysis of Non-Destructive Testing (NDT) on Ground Granulated Blast-Furnace Slag (GGBS) based Geopolymer Concrete

Cited by 3 publications

References 5 publications

Cost Analysis of Various Factors for Geopolymer 3D Printing of Construction Products in Factories and on Construction Sites

Cost Analysis of Various Factors for Geopolymer 3D Printing of Construction Products in Factories and on Construction Sites

Using of metakaolin to produce colored geopolymer concrete

Prediction of Geopolymer Concrete Compressive Strength Utilizing Artificial Neural Network and Nondestructive Testing

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