Fresh properties of self-compacting rubberized concrete incorporated with fly ash

2009 ◽  
Vol 43 (8) ◽  
pp. 1037-1048 ◽  
Author(s):  
Erhan Güneyisi
Keyword(s):  
Fly Ash ◽  
Rubberized Concrete ◽  
Fresh Properties

scholarly journals APPLICATION OF WATER LAYER MODEL TO FRESH PROPERTIES OF FLY ASH CONCRETE

2006 ◽  
Vol 62 (2) ◽  
pp. 402-415
Author(s):  
Takashi KAJI ◽  
Mitsuhiro ISHII ◽  
Chikanori HASHIMOTO ◽  
Hiroyuki MIZUGUCHI
Keyword(s):  
Fly Ash ◽  
Water Layer ◽  
Fresh Properties ◽  
Layer Model ◽  
Fly Ash Concrete

Fresh, Durability and Mechanical Behavior of Self Consolidating Concrete Incorporating Fly Ash and Admixture under Hot Weather

2021 ◽  
Vol 904 ◽  
pp. 453-457
Author(s):  
Samer Al Martini ◽  
Reem Sabouni ◽  
Abdel Rahman Magdy El-Sheikh
Keyword(s):  
Compressive Strength ◽  
Fly Ash ◽  
Water Absorption ◽  
Weather Conditions ◽  
Chloride Penetration ◽  
The Self ◽  
Fresh Properties ◽  
Self Consolidating Concrete ◽  
Slump Flow ◽  
Hot Weather

The self-consolidating concrete (SCC) become the material of choice by concrete industry due to its superior properties. However, these properties need to be verified under hot weather conditions. The paper investigates the behavior of SCC under hot weather. Six SCC mixtures were prepared under high temperatures. The SCC mixtures incorporated polycarboxylate admixture at different dosages and prolonged mixed for up to 2 hours at 30 °C and 40 °C. The cement paste was replaced with 20% of fly ash (FA). The fresh properties were investigated using slump flow, T50, and VSI tests. The compressive strength was measured at 3, 7, and 28 days. The durability of SCC mixtures was evaluated by conducting rapid chloride penetration and water absorption tests.

Evaluation of Fresh Properties and Rheology of Mortar Using Carbon-Free Fly Ash and Normal Fly Ash

2020 ◽  
Vol 1005 ◽  
pp. 76-81
Author(s):  
Ghawsaddin Nazari ◽  
Shunya Yamanaka ◽  
Shigeyuki Date
Keyword(s):  
Fly Ash ◽  
Setting Time ◽  
Great Influence ◽  
Mineral Admixture ◽  
Mineral Admixtures ◽  
Fresh Properties ◽  
Initial Setting Time ◽  
Usual Solution ◽  
Initial Setting ◽  
Flow Loss

Usage of mineral admixture and chemical admixture in concrete or mortar is a usual solution to reach full compaction, particularly where reinforcement blockage and lack of skilled labor happen. In this paper effect of mineral admixtures (Carbon-free fly ash, hereafter CfFA, and normal fly ash) on fresh properties and rheology of mortar have been investigated. As a result, it was confirmed that CfFA increased significantly the fluidity and air content of mortar in comparison to normal fly ash, both in 15% and 30% replacement; however, the flow loss and air stability within one hour were almost equal. In addition, the initial setting time has also been affected by variation of materials. The two mixing of 30% and 15% of CfFA had a shorter setting time in comparison to the mortar with normal fly ash. Furthermore, CfFA based mortar had a great influence on rheology of mortar. Compared to normal fly ash, CfFA Considerably decreased the plastic Viscosity and increased the productivity of the mortar, both in non-vibrated and vibrated condition, particularly those with 30% replacement.

scholarly journals Determination of Mechanical Properties of Rubberized Concrete in Marine Environment

2019 ◽  
Vol 8 (2) ◽  
pp. 5761-5765
Keyword(s):  
Mechanical Properties ◽  
Fly Ash ◽  
Marine Environment ◽  
Concrete Specimen ◽  
Crumb Rubber ◽  
Fine Aggregate ◽  
Test Results ◽  
Rubberized Concrete ◽  
Split Tensile Strength

With an objective of saving the environment by providing crumb rubber as an alternative to natural fine aggregate this paper presents a study carried out to find the mechanical properties of rubberized concrete. Rubberized concrete is made up of waste rubber from vehicle tyres and other rubber waste which otherwise is left out polluting the environment. In this paper, 7.5% of crumb rubber (obtained by shredding the vehicle tyres) as an alternative to fine aggregate and 7.5% of fly-ash as an alternative to cement is added with other ingredients of concrete to produce an eco-friendly concrete which can be used economically and effectively for construction along the coastal areas. Various properties like workability, compressive strength, split tensile strength, and flexural strength was carried out on concrete specimens exposed to the natural marine environment along the coast of Visakhapatnam, Andhra Pradesh. The total exposure of concrete specimen was about 150 days, and various specimens were tested at 7, 28, 90, 120 and 150 days, respectively. The test results showed that with a slight compromise in strength, the workability of concrete and resistance to the effect of seawater on the strength of concrete significantly improved with the addition of crumb rubber and fly-ash.

scholarly journals Utilizing Artificial Intelligence to Predict the Superplasticizer Demand of Self-Consolidating Concrete Incorporating Pumice, Slag, and Fly Ash Powders

Materials ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 6792
Author(s):  
Jing Liu ◽  
Masoud Mohammadi ◽  
Yubao Zhan ◽  
Pengqiang Zheng ◽  
Maria Rashidi ◽  
...  
Keyword(s):  
Fly Ash ◽  
Root Mean Square Error ◽  
Mean Square Error ◽  
Correlation Coefficient ◽  
Root Mean Square ◽  
Mix Design ◽  
Mean Square ◽  
Fresh Properties ◽  
Self Consolidating Concrete ◽  
Significant Parameter

Self-consolidating concrete (SCC) is a well-known type of concrete, which has been employed in different structural applications due to providing desirable properties. Different studies have been performed to obtain a sustainable mix design and enhance the fresh properties of SCC. In this study, an adaptive neuro-fuzzy inference system (ANFIS) algorithm is developed to predict the superplasticizer (SP) demand and select the most significant parameter of the fresh properties of optimum mix design. For this purpose, a comprehensive database consisting of verified test results of SCC incorporating cement replacement powders including pumice, slag, and fly ash (FA) has been employed. In this regard, at first, fresh properties tests including the J-ring, V-funnel, U-box, and different time interval slump values were considered to collect the datasets. At the second stage, five models of ANFIS were adjusted and the most precise method for predicting the SP demand was identified. The correlation coefficient (R2), Pearson’s correlation coefficient (r), Nash–Sutcliffe efficiency (NSE), root mean square error (RMSE), mean absolute error (MAE), and Wilmot’s index of agreement (WI) were used as the measures of precision. Later, the most effective parameters on the prediction of SP demand were evaluated by the developed ANFIS. Based on the analytical results, the employed algorithm was successfully able to predict the SP demand of SCC with high accuracy. Finally, it was deduced that the V-funnel test is the most reliable method for estimating the SP demand value and a significant parameter for SCC mix design as it led to the lowest training root mean square error (RMSE) compared to other non-destructive testing methods.

Sign in / Sign up

Export Citation Format

Share Document