A novel method to predict pozzolanic nature of concrete with sintered clay using soft computing techniques
| Autor: | R Archana Reddy, D Ramesh Babu, R Gobinath, A Sivakrishna |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Materials Science and Engineering. 872:012159 |
| ISSN: | 1757-899X 1757-8981 |
| DOI: | 10.1088/1757-899x/872/1/012159 |
| Popis: | This research focuses on studying the effect of different pozzolanic materials (Metakaolin, fly ash, silica ash, micro clay, ordinary clay and their combinations) on strength of concrete cured for a period of time - 56 days. This work primarily deals with the compressive strength and split tensile strength of concrete. First four mixes were made by adding 1-2% of pozzolanic materials in concrete. Next five mixes were made by increasing the percentage of clay and lime as a substitute of cement in concrete. A comparative study is done between experimental data and predicted data. Bountiful research works were done using soft computing tools to predict the strength characteristics of concrete, in this work we had employed Levenberg-Marquardt and Bayesian Regularization approach to predict. ANN is employed to measure the outcome performance of admixtures added while varying the curing period. Best fit models were arrived using back propagation method of ANN, R2 values were obtained in the range of 0.91 showing the effectiveness of the study. It is suggested that this proposed algorithm can be employed to predict the strength characteristics of concrete. |
| Databáze: | OpenAIRE |
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