Analysis of Concrete Compression Test by Soft Computing Techniques

Author(s)	JAI SURANA, PRANAY SAMRUTWAR, RUSHIPRASAD PATIL, M.A.D'CRUZ
Country	India
Abstract	Concrete compression tests are fundamental for assessing the compressive strength of concrete, a critical parameter in structural engineering. Traditional methods of testing and analysis are time-consuming and often involve significant labour and resources. This paper explores the application of soft computing technologies, particularly artificial neural networks (ANNs), and genetic algorithms, to predict and analyse the outcomes of concrete compression tests. The research demonstrates the effectiveness of these technologies in providing accurate, efficient, and cost-effective alternatives to conventional methods.
Keywords	Artificial Neural Network, Compressive Strength of Concrete, Support Vector Machine.
Field	Engineering
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-05-31
Cite This	Analysis of Concrete Compression Test by Soft Computing Techniques - JAI SURANA, PRANAY SAMRUTWAR, RUSHIPRASAD PATIL, M.A.D'CRUZ - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.21662
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.21662
Short DOI	https://doi.org/gtw6p9

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