Investigation on the Compatibility of Cement Paste with SNF and PCE based Superplasticizers

Rajkumar, P. R. Kannan; Ravichandran, P. T.; Ravi, J. K.; Krishnaraj, L.

doi:10.17485/ijst/2016/v9i34/95865

Cited by 4 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From the Figs. 9 and 10 it can be clearly understood that till 8 hrs there was gradual increase in the percentage of capillary water absorption but after 24 hrs, 48 hrs and 72 hrs it has become steady (40,41). Comparing the result with the percentage of water absorption through permeability, the water absorption through suction or capillary rise is reduced (42).…”

Section: Capillary Risementioning

confidence: 95%

See 1 more Smart Citation

Mechanical and durability properties of sintered fly ash aggregate concrete

Chandran¹,

Chinnaraju

2021

Cem. Wapno Beton

View full text Add to dashboard Cite

Conservation of natural resources and effective management of waste materials that can harm our environment is a challenging phenomenon. This paper is focused to study the different properties of M30 grade concrete where the coarse aggregate has been completely replaced by commercially available sintered fly ash aggregate and it has proved to meet the target strength. To further improve the crack resisting behavior and tensile strength,basalt fibers was incorporated. The incorporation of fibers has improved the mechanical properties to around 3-4%. The RCPT and water absorption test has proved that the durability properties of sintered fly ash aggregate are within the standard specified.

show abstract

Section: Capillary Risementioning

confidence: 95%

“…netration(41). This may be due to the random orientation of fi bre thus leading to formation of small pores which allows the chloride penetration.…”

mentioning

confidence: 99%

Mechanical and durability properties of sintered fly ash aggregate concrete

Chandran¹,

Chinnaraju

2021

Cem. Wapno Beton

View full text Add to dashboard Cite

show abstract

“…According to the literature, the NSF disperses cement particles and decreases attractive interparticle forces (van der Waals forces) through electrostatic repulsion. For NSF, the contribution of electrostatic repulsive force to total repulsive force is very high, resulting in an efective dispersing efect on fow behavior [26,27]. Water reduction percentage might be changed based on the available solid content in the product.…”

Section: Methodsmentioning

confidence: 99%

A Neural Network-Based Prediction of Superplasticizers Effect on the Workability and Compressive Characteristics of Portland Pozzolana Cement-Based Mortars

Manikandan

Vasugi

Kumar³

et al. 2023

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

Portland Pozzolana Cement (PPC) mortars are predominantly employed in plastering works to achieve better workability, superior surface finish, and higher fineness to offer better cohesion with fine aggregates than the ordinary Portland cement (OPC) mortars. To achieve high performance in the cement mortar similar to cement concrete, the addition of a superplasticizer is recommended. The present study investigates the impact of addition of sulphonated naphthalene formaldehyde- (SNF)-based (0.5%, 0.6%, 0.7%, and 0.8%) and lignosulphate- (LS)-based (0.2%, 0.3%, 0.4%, and 0.5%) superplasticizers on the workability and compressive strength characteristics of PPC mortars. Plastering mortars of ratio 1 : 4 were prepared with natural sand and manufacturing sand (M sand) as fine aggregates. A flow table test was conducted on all the mortar mix proportions, and the effects of the inclusion of superplasticizers on flow properties were recorded at different time intervals (0, 30, 60, 90, and 120 minutes). PPC mortar cubes were prepared, cured, and examined to assess the inclusion of chemical admixtures on compressive strength at different ages (1, 3, 7, 14, and 28 days). The experimental findings from the workability and compressive strength of PPC mortars were analyzed, and the corresponding results were predicted using artificial intelligence. Experimental investigations demonstrated that the desired flow characteristics and higher compressive strength results were achieved from a 0.7% dosage of ligno-based superplasticizer. The predicted workability and compressive strength results at various ages acquired by implementing an Artificial Neural Network (ANN) were found to be in close agreement with the experimental results.

show abstract