Strength characteristics and microstructure of hooked-end steel fiber reinforced concrete containing fly ash, bottom ash and their combination

Pal, Shilpa; Shariq, M.; Abbas, Husain; Pandit, Anjali; Masood, A.

doi:10.1016/j.conbuildmat.2020.118530

Cited by 24 publications

(6 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Meanwhile, Class C material produced from burning lignite (subbituminous) also contains pozzolanic materials and has a high calcium content. In the current study, the calcium content present in CBA has a value of 11.18%, which is slightly higher compared to the calcium content in Class F, which accounts for about 1.32% to 9.30% [3][4][5][6]. Besides, Table 1 also shows the results of river sand, which has a lower percentage of aluminium (6.14%), iron (0.21%), calcium (0.83%), potassium (0.28%), and titanium oxides (0.32%), with the exception of silicon dioxide which has a higher percentage of 54.3% compared to CBA which is 26.4%.…”

Section: Chemical Compositioncontrasting

confidence: 54%

“…According to Abdulmatin [8], the CBA obtained from Mae Moh Power Plant in Thailand has a fineness modulus value of 2.09. Besides, Pal [6] found that the fineness modulus of CBA obtained from the National Thermal Power Station in India has a value of 2.32. The other power plant in India called Ropar Thermal Power Station has a fineness modulus of 1.50 [7].…”

Section: Fineness Modulusmentioning

confidence: 99%

See 1 more Smart Citation

An Experimental Investigation of Coal Bottom Ash as Sand Replacement

Meh¹

2022

GEOMATE

View full text Add to dashboard Cite

The ash from burned coal that falls to the bottom of a furnace is called coal bottom ash (CBA). This ash contributes to about 20% of total coal ash, and it has been disposed of on open land and in landfills for decades, resulting in environmental pollution issues. This research investigates the potential use of coal bottom ash from the Manjung Power Plant as a substitute for sand aggregates in concrete. Therefore, an experimental investigation that includes particle size distribution, fineness modulus, specific gravity, water absorption, x-ray fluorescence (XRF), and scanning electron microscope (SEM) was carried out to determine the characteristics of coal bottom ash. The results revealed that coal bottom ash has a particle size distribution and fineness modulus comparable to that of sand particles. Both materials have rounded to angular particles with interlocking characteristics. However, coal bottom ash seems to have rough surfaces with porous particles and it is lighter than sand particles. These characteristics cause coal bottom ash to have a lower specific gravity and a high water absorption rate. Besides, coal bottom ash used in this investigation has been classified as Class C. It has pozzolanic materials and high calcium content, thus helping to improve C-S-H gels with high cementitious properties, resulting in higher strength performance. In conclusion, coal bottom ash from Manjung Power Plant has its advantages and looks like sand particles. Therefore, it has the potential to be used as a material substitute for concrete.

show abstract

Section: Chemical Compositioncontrasting

confidence: 54%

Section: Fineness Modulusmentioning

confidence: 99%

An Experimental Investigation of Coal Bottom Ash as Sand Replacement

Meh¹

2022

GEOMATE

View full text Add to dashboard Cite

show abstract

“…Since then, SFRC has received immense attention. Many studies have been conducted to investigate the mechanical properties [ 7 , 8 , 9 , 10 ], durability [ 3 , 11 , 12 , 13 , 14 , 15 ], fatigue performance [ 16 , 17 ] and microstructure characteristics of SFRC [ 18 , 19 , 20 ]. Based on these research results, it has been determined that SFRC is structurally superior to its ordinary concrete counterpart, especially under tension, shear or torsion forces [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Shear Capacity of Steel Fiber Reinforced Concrete Beams without Stirrups Using Artificial Intelligence Models

Yong

Zhao

et al. 2022

Materials

View full text Add to dashboard Cite

The shear transfer mechanism of steel fiber reinforced concrete (SFRC) beams without stirrups is still not well understood. This is demonstrated herein by examining the accuracy of typical empirical formulas for 488 SFRC beam test records compiled from the literature. To steer clear of these cognitive limitations, this study turned to artificial intelligence (AI) models. A gray relational analysis (GRA) was first conducted to evaluate the importance of different parameters for the problem at hand. The outcomes indicate that the shear capacity depends heavily on the material properties of concrete, the amount of longitudinal reinforcement, the attributes of steel fibers, and the geometrical and loading characteristics of SFRC beams. After this, AI models, including back-propagation artificial neural network, random forest and multi-gene genetic programming, were developed to capture the shear strength of SFRC beams without stirrups. The findings unequivocally show that the AI models predict the shear strength more accurately than do the empirical formulas. A parametric analysis was performed using the established AI model to investigate the effects of the main influential factors (determined by GRA) on the shear capacity. Overall, this paper provides an accurate, instantaneous and meaningful approach for evaluating the shear capacity of SFRC beams containing no stirrups.

show abstract

“…Water, aggregates, cement, and steel fibers are the primary components of SFRC [ 42 , 43 , 44 ]. Depending on the intended uses, SFRC may additionally comprise pozzolana and admixtures [ 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ].…”

Section: Introductionmentioning

confidence: 99%

Steel Fiber-Reinforced Concrete: A Systematic Review of the Research Progress and Knowledge Mapping

et al. 2022

View full text Add to dashboard Cite

This study performed a scientometric-based examination of the literature on steel fiber-reinforced concrete (SFRC) to identify its key elements. Typical review papers are limited in their capacity to link distinct segments of the literature in an organized and systematic method. The most challenging aspects of current research are knowledge mapping, co-occurrence, and co-citation. The Scopus search engine was used to search for and obtain the data required to meet the goals of the study. During the data evaluation, the relevant publication sources, keyword assessment, productive authors based on publications and citations, top papers based on citations received, and areas vigorously involved in SFRC studies were recognized. The VOSviewer software tool was used to evaluate the literature data from 9562 relevant papers, which included citation, abstract, bibliographic, keywords, funding, and other information. Furthermore, the applications and constraints related to the usage of SFRC in the construction sector were examined, as well as potential solutions to these constraints. It was determined that only 17 publication sources (journals/conferences) had published at least 100 articles on SFRC up to June 2022. Additionally, the mostly employed keywords by authors in SFRC research include steel fibers, fiber-reinforced concrete, concrete, steel fiber-reinforced concrete, and reinforced concrete. The assessment of authors revealed that 39 authors had published at least 30 articles. Moreover, China, the United States, and India were found to be the most active and participating countries based on publications on SFRC research. This study can assist academics in building collaborative initiatives and communicating new ideas and techniques because of the quantitative and graphical depiction of participating nations and researchers.

show abstract

Strength characteristics and microstructure of hooked-end steel fiber reinforced concrete containing fly ash, bottom ash and their combination

Cited by 24 publications

References 27 publications

An Experimental Investigation of Coal Bottom Ash as Sand Replacement

An Experimental Investigation of Coal Bottom Ash as Sand Replacement

Evaluation of Shear Capacity of Steel Fiber Reinforced Concrete Beams without Stirrups Using Artificial Intelligence Models

Steel Fiber-Reinforced Concrete: A Systematic Review of the Research Progress and Knowledge Mapping

Contact Info

Product

Resources

About