Influence on impact strength and chloride permeability of concrete made with cementitious material and artificial sand

被引:0
|
作者
Mane, Kiran M. [1 ]
Chavan, S. P. [1 ]
Salokhe, S. A. [1 ]
Nadgouda, P. A. [1 ]
Kumbhar, Y. D. [1 ]
机构
[1] DY Patil Coll Engn & Technol, Dept Civil Engn, Kolhapur 416006, Maharashtra, India
关键词
Industrial waste material; artificial sand; impact strength; rapid chloride permeability; artificial neural network. XRD; PREDICTION;
D O I
10.1080/19648189.2024.2360046
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The over usage of natural sand and cement has negative social and ecological effects. To address this, by-products of industrial wastes known as pozzolanic materials, including as fly ash, GGBFS, silica fume, and metakaolin, can be utilised with the manufactured sand in place of the natural fine aggregate and cement. As a result, the current research project discussed in this article examines the viability of replacing cement in concrete with pozzolana and crushed sand. Thus, this will address two issues at once: the large-scale use of pozzolanic materials and the preservation of natural sand quarries. The main objective of this experimental investigation is to find out the impact and durability properties of concrete produced by replacing natural sand by manufactured sand in varying percentages like 0, 10, 20, 30, 40, 50, 60 70, 80, 90, 100, and 20% cement replacing with pozzolanic materials. Cylindrical disc 150 mm diameter and 65 mm thick was tested for impact strength and chloride permeability 50 mm thick and 100 mm diameter samples were cast. The 28-day impact strength and chloride permeability of concrete mixed by partially substituting cement with pozzolan and partially substituting natural fine aggregate with artificial sand were tested. For the various concrete mix proportions, the findings for impact strength and chloride permeability were examined and contrasted with standard concrete. The results of this study show that substituting 20% of the cement with silica fume and 60% of the natural fine aggregate with M-sand results in concrete that has a maximum impact strength and a minimum chloride permeability. An ANN Model was developed using the experimental values. For design of model 400 result values where used, 20% results used for testing purpose and 80% results used for ANN model training. Calculated using the product of 25 input data. The ANN model's results offer a precise elastic prediction of the impact strength and chloride iron pass ability of concrete mixed with substituting industrial cementitious waste for cement and artificial sand with naturally occurring fine aggregate. The findings of this study help to reduce the extraction of non-renewable natural recourses and the environmental impact of industrial waste by preparing more sustainable concrete.
引用
收藏
页码:3855 / 3874
页数:20
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