Influences of design parameters on the properties of self‐compacting concrete produced with structurally different polycarboxylates

Obtaining a trustworthy approach to forecast the chloride penetration into self-compacting concrete via rapid test may lead to frugality in cost, time, and energy to provide a durable mix design. Different single and hybrid regression methods are developed to predict the results of rapid chloride penetration tests in the present study. Cement content, fly ash, and silica fume replacement percent with cement, temperature and fine and coarse aggregates are considered as input variables. All predicted values using expanded models have a good agreement with experimentally measured results. Evaluating the accuracy and precision of single and hybrid optimized models by five statistical performance criteria (R 2 , root mean square error, mean absolute error, mean absolute percentage error, and performance index) illustrates that the hybrid support vector regression with optimization algorithm is a high-accurate promising model for predicting the results of a rapid chloride penetration test.

Section: Introductionmentioning

confidence: 99%

Retracted: A comparative study on predicting the rapid chloride permeability of self‐compacting concrete using meta‐heuristic algorithm and artificial intelligence techniques

Jia

Zhao

Esmaeili‐Falak

2022

“…32 The mix design of eco-efficient SCC has still some obstacles, and the fresh and hardened properties of SCC are mostly dependent on the mix design. 32,53 Therefore, Alyamac and co-workers 1,2 have proposed two different mix design methods in two different studies about eco-efficient SCCs containing WMP. The first method proposed by Alyamac and Ince 2 was for the preliminary mix design of SCC containing WMP.…”

Section: Introductionmentioning

confidence: 99%

“…Because of this feature, SCC has defined as an eco‐efficient type of concrete 32 . The mix design of eco‐efficient SCC has still some obstacles, and the fresh and hardened properties of SCC are mostly dependent on the mix design 32,53 . Therefore, Alyamac and co‐workers 1,2 have proposed two different mix design methods in two different studies about eco‐efficient SCCs containing WMP.…”

Section: Introductionmentioning

confidence: 99%

Development of an artificial neural network model to predict waste marble powder demand in eco‐efficient self‐compacting concrete

Ulas

2022

The marble industry produces large amount of waste at almost every stage of marble processing. This waste is always uncontrollably discharged into open areas. Therefore, the consumption of Waste Marble Powder (WMP) in concrete is very important and will provide both an economic gain for concrete industries and an opportunity to achieve eco-efficient concrete production. Self-Compacting Concrete (SCC) is mostly preferred concrete type which uses the WMP as powdered material. Thus, to increase WMP usage in the production of eco-efficient SCC, it is aimed in this study to develop a model that can predict WMP demand. To develop this model, Artificial Neural Network (ANN), an artificial intelligence method, was preferred. An ANN model was developed using a comprehensive dataset that included eco-efficient SCC mixture compositions, workability measurements, and compressive strengths. The ANN model with seven inputs and one output as WMP was successfully trained and managed to produce the correct outputs to both validation and test datasets.Mix design of SCC with aimed properties can be a long process compared to conventional concrete. The proposed ANN model could reduce time loss in the production process. ANN's success is expected to facilitate the production of eco-efficient SCC with WMP.

“…15,16 Uncontrolled bleeding is almost always associated with concrete damage. 17,18 Bleeding influences the homogeneity of a material structure across the cross-section of concrete, and also causes variations of the physical and mechanical properties of concrete. This is particularly relevant in concrete slabs, where excessive bleeding leads to cracking, delamination, and damage of the structure of subsurface concrete.…”

Section: Introductionmentioning

confidence: 99%

The influence of granite powder waste and the addition of fly ash on concrete bleeding

Chajec

Kwietniowski

Woźniak

et al. 2022

Bleeding is a common problem in concrete slabs, and may lead to serious damage. The goal of this article is to understand the impact of alternative binders and their properties on the bleeding of concrete. Therefore, the impact of the type of binder on the bleeding process is investigated. The results show that the addition of granite powder or fly ash allows for the increased control of the bleeding process. It was found that a finer particle size distribution (PSD), an increased specific surface area (SSA), and a higher bulk density may reduce the amount of dispensed water in the concrete mix. Furthermore, the use of additives with an increased SSA leads to even a 30% reduction of the bleeding rate of mixes. The utilization of additives with a finer PSD than cement enables a 37% reduction of the bleeding rate of mixes. The influence of bleeding on compressive strength was assessed using destructive and non-destructive tests: Replacing 30% of cement with granite powder leads to a 30% reduction of concrete strength after 28 days of curing; on the other hand, replacing 30% of cement with siliceous fly ash leads to an 18% reduction of strength. Importantly, bleeding was also found to lead to the heterogeneity of the physical and mechanical properties across the concrete section. Consequently, the proper control of the bleeding process leads to more homogeneous properties of concrete across its cross-section.