| Issue |
E3S Web Conf.
Volume 184, 2020
2nd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED 2020)
|
|
|---|---|---|
| Article Number | 01102 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202018401102 | |
| Published online | 19 August 2020 | |
Prediction of strength and durability properties of HPC composites using Adaptive Neuro-fuzzy Inference System
1 Professor, Civil Engineering, Adithya Institute of Technology, Coimbatore, India.
2 Assistant Professor, Civil Engineering Department, GRIET, Hyderabad, Telangana, India.
3 Assistant Professor, Civil Engineering Department, GRIET, Hyderabad, Telangana, India.
High-Performance Concrete (HPC) is a high-quality concrete that requires special conformity and performance requirements. The objective of this study was to investigate the possibilities of adapting neural expert systems like Adaptive Neuro-Fuzzy Inference System (ANFIS) in the development of a simulator and intelligent system and to predict durability and strength of HPC composites. These soft computing methods emulate the decision-making ability of human expert benefits both the construction industry and the research community. These new methods, if properly utilized, have the potential to increase speed, service life, efficiency, consistency, minimizes errors, saves time and cost which would otherwise be squandered using the conventional approaches.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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