Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives

Afshar, Alireza; Jahandari, Soheil; Rasekh, Haleh; Shariati, Mahdi; Afshar, Abdollah; Shokrgozar, Ali

doi:10.1016/j.conbuildmat.2020.120034

Cited by 142 publications

(31 citation statements)

References 62 publications

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“…Fly ashslag geopolymer has good corrosion resistance and low corrosion rate compared to fly ash geopolymer [72]. Afshar et al [73] reported that the zinc-rich epoxy primer as a coating on mild steel rebar has the best performance when used in combination with concrete containing 25% fly ash, 10% silica fume and 3% inhibitor by cementitious material weight.…”

Section: Wall Coating Materials With Anti-corrosion and Anti-leakage Propertiesmentioning

confidence: 99%

Incorporation of Phase Change Materials and Application of 3D Printing Technology in the Geopolymer Development

Nmiri¹

2021

Advances in Geopolymer-Zeolite Composites - Synthesis and Characterization

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The building sector accounted for the largest share of both global final energy use and energy-related CO2 emissions. Despite the efforts made during the last decade to reduce energy consumption and greenhouse gas emissions, the demand for energy is increasing steadily. Thus, development of novel strategies to reduce energy costs and save the environment through a new building regulation has critical importance. Several new technologies are emerging to help achieve the aim of reducing energy usage in building sectors, eliminating greenhouse gas emissions, and recycling waste. Some of these technologies are: (1) the development of geopolymer binder that may be used as an alternative to ordinary Portland cement, (2) the adoption of three-dimensional (3D) printing technology in the civil engineering, and (3) the integration of phase change materials (PCM) in cementitious materials to increase energy efficiency of buildings. In this chapter we review some research about phase change materials-based geopolymer cement, and the adoption of the additive manufacturing technology in geopolymer applications, as well as, point to further areas of study required for wide-scale industry adoption.

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Section: Wall Coating Materials With Anti-corrosion and Anti-leakage Propertiesmentioning

confidence: 99%

Incorporation of Phase Change Materials and Application of 3D Printing Technology in the Geopolymer Development

Nmiri¹

2021

Advances in Geopolymer-Zeolite Composites - Synthesis and Characterization

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“…The presence of water and its ingress into structural members are the main causes of some types of damage such as corrosion, crust, water bleeding, and efflorescence, which needed to be considered during the inspection process [115][116][117][118][119]. Kalenjuk and Lienhart [120] proposed a practical solution to generate ortho-images from a high-density point cloud of the surface.…”

Section: Corrosion Water Bleeding and Efflorescencementioning

confidence: 99%

A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions

et al. 2020

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Over the last decade, particular interest in using state-of-the-art emerging technologies for inspection, assessment, and management of civil infrastructures has remarkably increased. Advanced technologies, such as laser scanners, have become a suitable alternative for labor intensive, expensive, and unsafe traditional inspection and maintenance methods, which encourage the increasing use of this technology in construction industry, especially in bridges. This paper aims to provide a thorough mixed scientometric and state-of-the-art review on the application of terrestrial laser scanners (TLS) in bridge engineering and explore investigations and recommendations of researchers in this area. Following the review, more than 1500 research publications were collected, investigated and analyzed through a two-fold literature search published within the last decade from 2010 to 2020. Research trends, consisting of dominated sub-fields, co-occurrence of keywords, network of researchers and their institutions, along with the interaction of research networks, were quantitatively analyzed. Moreover, based on the collected papers, application of TLS in bridge engineering and asset management was reviewed according to four categories including (1) generation of 3D model, (2) quality inspection, (3) structural assessment, and (4) bridge information modeling (BrIM). Finally, the paper identifies the current research gaps, future directions obtained from the quantitative analysis, and in-depth discussions of the collected papers in this area.

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“…Fibres application in concrete can decline the requirement of transverse reinforcement in fiber-reinforced concrete (FRC) members, particularly in their seismic design (Khorami et al 2017 ; Bossio et al 2017 ; Park et al 2016 ; Ghassemieh and Bahadori 2015 ; Shahi et al 2013 ; Jalali et al 2012 ; McMullin et al 1993 ; Bahrololoumi and Dargazany 2019 ; Mohammadi et al 2019a , b ). Fibers play an important role in some critical members which require many reinforcements such as beam to column joints (Kazemi et al 2020a , b ; Afshar et al 2020 ; Sadeghian et al 2020 ). Although the mathematical modelling for the ultimate strength prediction of FRC rectangular columns subjected to simulated seismic loading is suggested in few studies (Aghakhani et al 2015 ; Thai et al 2012 ; McCulloch and Pitts 1943 ; Bahrololoumi and Dargazany 2019 ), the major objective of this research is to avoid the high nonlinearity of mathematical methods by applying soft computing methods.…”

Section: Introductionmentioning

confidence: 99%

Seismic response prediction of FRC rectangular columns using intelligent fuzzy-based hybrid metaheuristic techniques

Mehrabi

Honarbari

Rafiei

et al. 2021

J Ambient Intell Human Comput

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This research study focused on the dynamic response and mechanical performance of fiber-reinforced concrete columns using hybrid numerical algorithms. Whereas test data has non-linearity, an artificial intelligence (AI) algorithm has been incorporated with different metaheuristic algorithms. About 317 datasets have been applied from the real test results to detect the promising factor of strength subjected to the seismic loads. Adaptive neuro-fuzzy inference system (ANFIS) was carried out as an AI beside the combination of particle swarm optimization (PSO) and genetic algorithm (GA). Extreme Machine Learning (ELM) was also performed in order to approve the obtained results. According to the findings, it is demonstrated that ANFIS-PSO predicts the lateral load with promising evaluation indexes [R 2 (test) = 0.86, R 2 (train) = 0.90]. Mechanical performance prediction was also carried out in this study, and the results showed that ELM predicts the compressive strength with promising evaluation indexes [R 2 (test) = 0.66, R 2 (train) = 0.86]. Finally, both ANFIS-GA and ANFIS-PSO techniques illustrated a reliable performance for prediction, which encourage scholars to replace costly and time-consuming experimental tests with predicting utilities.

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Corrosion resistance evaluation of rebars with various primers and coatings in concrete modified with different additives

Cited by 142 publications

References 62 publications

Incorporation of Phase Change Materials and Application of 3D Printing Technology in the Geopolymer Development

Incorporation of Phase Change Materials and Application of 3D Printing Technology in the Geopolymer Development

A Decade of Modern Bridge Monitoring Using Terrestrial Laser Scanning: Review and Future Directions

Seismic response prediction of FRC rectangular columns using intelligent fuzzy-based hybrid metaheuristic techniques

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